publications

publications in reversed chronological order. generated by jekyll-scholar.

2025

  1. Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups
    Thomas J Hoffmann, Rebecca E Graff, Ravi K Madduri, Alex A Rodriguez, Clinton L Cario, Karen Feng, Yu Jiang, Anqi Wang, Robert J Klein, Brandon L Pierce, and others
    Nature genetics, 2025
  2. Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with APPFLx
    Trung-Hieu Hoang, Jordan Fuhrman, Marcus Klarqvist, Miao Li, Pranshu Chaturvedi, Zilinghan Li, Kibaek Kim, Minseok Ryu, Ryan Chard, Eliu A Huerta, and others
    Computational and Structural Biotechnology Journal, 2025
  3. Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
    Francisco Carrillo-Perez, Marija Pizurica, Yuanning Zheng, Tarak Nath Nandi, Ravi Madduri, Jeanne Shen, and Olivier Gevaert
    Nature Biomedical Engineering, 2025
  4. Advances in appfl: A comprehensive and extensible federated learning framework
    Zilinghan Li, Shilan He, Ze Yang, Minseok Ryu, Kibaek Kim, and Ravi Madduri
    In 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2025
  5. scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type–specific transcriptome-wide association study framework
    Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Saideep Gona, Festus Nyasimi, Rohit Kulkarni, Joseph Powell, and others
    bioRxiv, 2025
  6. Evaluating Multi-Ancestry Genome-Wide Association Methods: Statistical Power, Population Structure, and Practical Implications
    Julie-Alexia Dias, Tony Chen, Hua Xing, Xiaoyu Wang, Alex A Rodriguez, Ravi K Madduri, Peter Kraft, and Haoyu Zhang
    medRxiv, 2025
  7. Pathology Image Compression with Pre-trained Autoencoders
    Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Joel Saltz, and Dimitris Samaras
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025
  8. Genome-Wide Assessment of Pleiotropy Across> 1000 Traits from Global Biobanks
    Michael G Levin, Satoshi Koyama, Jakob Woerner, David Y Zhang, Alexis Rodriguez, Tarak Nandi, Buu Truong, Sarah A Abramowitz, Hritvik Gupta, Himani Kamineni, and others
    medRxiv, 2025
  9. Evaluating Vision and Pathology Foundation Models for Computational Pathology: A Comprehensive Benchmark Study
    Rohan Bareja, Francisco Carrillo-Perez, Yuanning Zheng, Marija Pizurica, Tarak Nath Nandi, Jeanne Shen, Ravi Madduri, and Olivier Gevaert
    medRxiv, 2025
  10. Benchmarking accelerated next-generation sequencing analysis pipelines
    Pubudu Saneth Samarakoon, Ghislain Fournous, Lars T Hansen, Ashen Wijesiri, Sen Zhao, Rodriguez Alex A, Tarak Nath Nandi, Ravi Madduri, Alexander D Rowe, Gard Thomassen, and others
    Bioinformatics Advances, 2025
  11. scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework
    Yichao Zhou, Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim, Saideep Gona, Festus Nyasimi, Rohit Kulkarni, Joseph E Powell, and others
    Cell Genomics, 2025
  12. Genome-wide association study of long COVID
    Vilma Lammi, Tomoko Nakanishi, Samuel E Jones, Shea J Andrews, Juha Karjalainen, Beatriz Cortés, Heath E O’Brien, Ana Ochoa-Guzman, Brian E Fulton-Howard, Martin Broberg, and others
    Nature Genetics, 2025
  13. AIDRIN 2.0: A Framework to Assess Data Readiness for AI
    Kaveen Hiniduma, Dylan Ryan, Suren Byna, Jean Luca Bez, and Ravi Madduri
    arXiv preprint arXiv:2505.18213, 2025
  14. FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
    Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr Kindratenko, Kibaek Kim, and Ravi Madduri
    arXiv preprint arXiv:2505.21727, 2025
  15. CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
    Kaveen Hiniduma, Zilinghan Li, Aditya Sinha, Ravi Madduri, and Suren Byna
    arXiv preprint arXiv:2505.23849, 2025
  16. PixCell: A generative foundation model for digital histopathology images
    Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Tahsin Kurc, and others
    arXiv preprint arXiv:2506.05127, 2025
  17. Enhancing Clinical Models with Pseudo Data for De-identification
    Paul Landes, Aaron J Chaise, Tarak Nath Nandi, and Ravi K Madduri
    arXiv preprint arXiv:2506.12674, 2025
  18. CDG-MAE: Learning Correspondences from Diffusion Generated Views
    Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Joel Saltz, Stergios Christodoulidis, Maria Vakalopoulou, and Dimitris Samaras
    arXiv preprint arXiv:2506.18164, 2025
  19. Evaluating Vision and Pathology Foundation Models for Computational Pathology: A Comprehensive Benchmark Study
    Olivier Gevaert, Rohan Bareja, Francisco Carrillo-Perez, Yuanning Zheng, Marija Pizurica, Tarak Nandi, Jeanne Shen, and Ravi Madduri
    Research Square, 2025
  20. Closing the loop: Teaching single-cell foundation models to learn from perturbations
    Yash Pershad, Tarak N Nandi, Joseph C Van Amburg, Alyssa C Parker, Luiza Ostrowski, Hannah K Giannini, David Ong, J Brett Heimlich, Esther A Obeng, Katrin Ericson, and others
    bioRxiv, 2025
  21. Increasing Value in the Veterans Affairs Healthcare System (VA) with Precision Health: A Continuing Landmark Collaboration with the Department of Energy
    Amy C Justice, Benjamin McMahon, Daniel A Jacobson, Kelly Cho, Anuj J Kapadia, Samuel Aguayo, Zeynep H Gümüş, Ioana Danciu, Jean C Beckham, Nathan A Kimbrel, and others
    medRxiv, 2025
  22. Leveraging Open-Source Large Language Models to Identify Undiagnosed Patients with Rare Genetic Aortopathies
    Pankhuri Singhal, Zilinghan Li, Ze Yang, Tarak Nandi, Colleen Morse, Zachary Rodriguez, Alex Rodriguez, Volodymyr Kindratenko, Giorgio Sirugo, Reed E Pyeritz, and others
    medRxiv, 2025
  23. Cost-Aware Federated Learning on the Cloud
    Aditya Sinha, Zilinghan Li, Tingkai Liu, Volodymyr Kindratenko, Kibaek Kim, and Ravi Madduri
    In 2025 IEEE International Conference on eScience (eScience), 2025
  24. Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science
    Zilinghan Li, Aditya Sinha, Yijiang Li, Kyle Chard, Kibaek Kim, and Ravi Madduri
    arXiv preprint arXiv:2511.08998, 2025
  25. AIDRIN: A Comprehensive Toolset for Automating Data Preparation for AI
    Kaveen Hiniduma, Jean Luca Bez, Ravi Madduri, and Suren Byna
    2025

2024

  1. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
    Anurag Verma, Jennifer E Huffman, Alex Rodriguez, Mitchell Conery, Molei Liu, Yuk-Lam Ho, Youngdae Kim, David A Heise, Lindsay Guare, Vidul Ayakulangara Panickan, and others
    Science, 2024
  2. Adaption and national validation of a tool for predicting mortality from other causes among men with nonmetastatic prostate cancer
    Amy C Justice, Janet P Tate, Frank Howland, J Michael Gaziano, Michael J Kelley, Benjamin McMahon, Christopher Haiman, Roxanne Wadia, Ravi Madduri, Ioana Danciu, and others
    European Urology Oncology, 2024
  3. Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources: A Case Study on Federated Fine-Tuning of LLaMA 2
    Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr Kindratenko, Eliu A Huerta, Kibaek Kim, and Ravi Madduri
    Computing in Science & Engineering, 2024
  4. MaPPeRTrac: A Massively Parallel, Portable, and Reproducible Tractography Pipeline
    Lanya T Cai, Joseph Moon, Paul B Camacho, Aaron T Anderson, Won Jong Chwa, Bradley P Sutton, Amy J Markowitz, Eva M Palacios, Alexis Rodriguez, Geoffrey T Manley, and others
    Neuroinformatics, 2024
  5. Accelerating Genome-and Phenome-Wide Association Studies using GPUs–A case study using data from the Million Veteran Program
    Alex Rodriguez, Youngdae Kim, Tarak Nath Nandi, Karl Keat, Rachit Kumar, Rohan Bhukar, Mitchell Conery, Molei Liu, John Hessington, Ketan Maheshwari, and others
    bioRxiv, 2024
  6. Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer
    Dorothy M Chen, Ruocheng Dong, Linda Kachuri, Thomas J Hoffmann, Yu Jiang, Sonja I Berndt, John P Shelley, Kerry R Schaffer, Mitchell J Machiela, Neal D Freedman, and others
    Human Genetics and Genomics Advances, 2024
  7. Ai data readiness inspector (aidrin) for quantitative assessment of data readiness for ai
    Kaveen Hiniduma, Suren Byna, Jean Luca Bez, and Ravi Madduri
    In Proceedings of the 36th International Conference on Scientific and Statistical Database Management, 2024
  8. Quantized multi-task learning for context-specific representations of gene network dynamics
    Han Chen, Madhavan S Venkatesh, Javier Gomez Ortega, Siddharth V Mahesh, Tarak N Nandi, Ravi K Madduri, Karin Pelka, and Christina V Theodoris
    bioRxiv, 2024
  9. Advances in privacy preserving federated learning to realize a truly learning healthcare system
    Ravi Madduri, Zilinghan Li, Tarak Nandi, Kibaek Kim, Minseok Ryu, and Alex Rodriguez
    In 2024 IEEE 6th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA), 2024
  10. 54. PREDICTION OF ANTIPSYCHOTIC-INDUCED METABOLIC ADVERSE EFFECTS USING MULTIMODAL ARTIFICIAL INTELLIGENCE
    Khushbu Agarwal, Silviu-Alin Bacanu, Sutanay Choudhury, Ravi Madduri, Colby Ham, Alejandro Zuniga, Sayera Dhaubhadel, Philip Harvey, Julie Kreyenbuhl, Stephen Marder, and others
    European neuropsychopharmacology, 2024
  11. A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now
    Amy C Justice, Benjamin McMahon, Ravi Madduri, Silvia Crivelli, Scott Damrauer, Kelly Cho, Rachel Ramoni, and Sumitra Muralidhar
    JAMIA open, 2024
  12. Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative
    Timothy Bergquist, Johanna Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu, Elliot Mitchell, Biplab Bhattacharya, Gaurav Shetty, Tamanna Munia, and others
    EBioMedicine, 2024
  13. Federated Learning, Curriculum Learning, and Unbalanced Data in COVID-19 Classification
    Jordan D Fuhrman, Trung-Hieu Hoang, Ravi Madduri, and Maryellen L Giger
    In AAPM 66th Annual Meeting & Exhibition, 2024
  14. Gen-sis: Generative self-augmentation improves self-supervised learning
    Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K Madduri, Prateek Prasanna, Joel Saltz, and Dimitris Samaras
    arXiv preprint arXiv:2412.01672, 2024
  15. Privacy-preserving federated learning for science: Challenges and research directions
    Kibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi Madduri, Minseok Ryu, Todd Munson, Rob Ross, Thomas Flynn, Ai Kagawa, and others
    In 2024 IEEE International Conference on Big Data (BigData), 2024
  16. scPrediXcan: A Method for Transcriptome-Wide Association Studies at Cell-type Level Using Deep Learning
    Yichao Zhou, Temidayo Adeluwa, Saideep Gona, Lisha Zhu, Festus Nyasimi, Ravi Madduri, Mengjie Chen, and Hae Kyung Im
    In GENETIC EPIDEMIOLOGY, 2024
  17. Rapid Long-Range Linkage Disequilibrium Calculations at Biobank Scale using GPU Acceleration
    Rachit Kumar, Pankhuri Singhal, Chris Carson, Mitchell Conery, Alex Rodriguez, Tarak Nath Nandi, Marylyn D Ritchie, Mathialakan Thavappiragasm, Ravi K Madduri, Benjamin F Voight, and others
    In GENETIC EPIDEMIOLOGY, 2024
  18. Monocyte-endothelial interactions as a targetable node in clonal hematopoiesis-mediated cardiovascular disease
    Alyssa C Parker, J Brett Heimlich, Joseph C Van Amburg, Yash Pershad, David A Ong, Nicole A Mickels, Laventa M Obare, Ketan J Hoey, Hannah K Giannini, Ayesha Ahmad, and others
    medRxiv, 2024

2023

  1. Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans
    Nathan A Kimbrel, Allison E Ashley-Koch, Xue J Qin, Jennifer H Lindquist, Melanie E Garrett, Michelle F Dennis, Lauren P Hair, Jennifer E Huffman, Daniel A Jacobson, Ravi K Madduri, and others
    JAMA psychiatry, 2023
  2. Genetics of varicose veins reveals polygenic architecture and genetic overlap with arterial and venous disease
    Michael G Levin, Jennifer E Huffman, Anurag Verma, Kyle A Sullivan, Alexis A Rodriguez, David Kainer, Michael R Garvin, Matthew Lane, Mikaela Cashman, J Izaak Miller, and others
    Nature Cardiovascular Research, 2023
  3. MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models
    Naveena Gorre, Eduardo Carranza, Jordan Fuhrman, Hui Li, Ravi K Madduri, Maryellen Giger, and Issam El Naqa
    Physics in Medicine & Biology, 2023
  4. Evidence of novel susceptibility variants for prostate cancer and a multiancestry polygenic risk score associated with aggressive disease in men of African ancestry
    Fei Chen, Ravi K Madduri, Alex A Rodriguez, Burcu F Darst, Alisha Chou, Xin Sheng, Anqi Wang, Jiayi Shen, Edward J Saunders, Suhn K Rhie, and others
    European urology, 2023
  5. Genome-wide association study identifies four pan-ancestry loci for suicidal ideation in the Million Veteran Program
    Allison E Ashley-Koch, Nathan A Kimbrel, Xue J Qin, Jennifer H Lindquist, Melanie E Garrett, Michelle F Dennis, Lauren P Hair, Jennifer E Huffman, Daniel A Jacobson, Ravi K Madduri, and others
    PLoS genetics, 2023
  6. User experience evaluation for MIDRC AI interface
    Naveena Gorre, Jordan Fuhrman, Eduardo Carranza, Hui Li, Ravi K Madduri, Maryellen Giger, and Issam El Naqa
    In Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications, 2023
  7. Cardiovascular disease risk assessment using traditional risk factors and polygenic risk scores in the million veteran program
    Jason L Vassy, Daniel C Posner, Yuk-Lam Ho, David R Gagnon, Ashley Galloway, Vidisha Tanukonda, Serena C Houghton, Ravi K Madduri, Benjamin H McMahon, Philip S Tsao, and others
    JAMA cardiology, 2023
  8. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry
    Burcu F Darst, Jiayi Shen, Ravi K Madduri, Alexis A Rodriguez, Yukai Xiao, Xin Sheng, Edward J Saunders, Tokhir Dadaev, Mark N Brook, Thomas J Hoffmann, and others
    The American Journal of Human Genetics, 2023
  9. Phecode-enabled GWASs identify known and novel loci for eye traits and disorders (EYEWas)
    Sudha K Iyengar, Bryan R Gorman, Cari L Nealon, Alexis A Rodriguez, Ravi K Madduri, Saiju Pyarajan, John Michael Gaziano, Pirro G Hysi, and Neal S Peachey
    Investigative Ophthalmology & Visual Science, 2023
  10. RNA-to-image multi-cancer synthesis using cascaded diffusion models
    Francisco Carrillo-Perez, Marija Pizurica, Yuanning Zheng, Tarak Nath Nandi, Ravi Madduri, Jeanne Shen, and Olivier Gevaert
    bioRxiv, 2023
  11. FAIR for AI: An interdisciplinary and international community building perspective
    EA Huerta, Ben Blaiszik, L Catherine Brinson, Kristofer E Bouchard, Daniel Diaz, Caterina Doglioni, Javier M Duarte, Murali Emani, Ian Foster, Geoffrey Fox, and others
    Scientific data, 2023
  12. Appflx: Providing privacy-preserving cross-silo federated learning as a service
    Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, EA Huerta, Volodymyr Kindratenko, Jordan Fuhrman, Maryellen Giger, Ryan Chard, and others
    In 2023 IEEE 19th international conference on e-science (e-science), 2023
  13. FedCompass: efficient cross-silo federated learning on heterogeneous client devices using a computing power aware scheduler
    Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr Kindratenko, Eliu A Huerta, Kibaek Kim, and Ravi Madduri
    arXiv preprint arXiv:2309.14675, 2023
  14. GWAS meta-analysis of suicide attempt: identification of 12 genome-wide significant loci and implication of genetic risks for specific health factors
    Anna R Docherty, Niamh Mullins, Allison E Ashley-Koch, Xuejun Qin, Jonathan RI Coleman, Andrey Shabalin, JooEun Kang, Balasz Murnyak, Frank Wendt, Mark Adams, and others
    American journal of psychiatry, 2023
  15. Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
    Anqi Wang, Jiayi Shen, Alex A Rodriguez, Edward J Saunders, Fei Chen, Rohini Janivara, Burcu F Darst, Xin Sheng, Yili Xu, Alisha J Chou, and others
    Nature genetics, 2023
  16. Correction: Reproducible big data science: A case study in continuous FAIRness
    Ravi Madduri, Kyle Chard, Mike D’Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, and others
    Plos one, 2023
  17. Reproducible big data science: A case study in continuous FAIRness (vol 14, e0213013, 2019)
    Ravi Madduri, Kyle Chard, Mike D’Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, and others
    PLOS ONE, 2023
  18. GWAS Meta-Analysis of Suicide Attempt
    Anna R Docherty, Niamh Mullins, Allison E Ashley-Koch, Xuejun Qin, Jonathan RI Coleman, Andrey Shabalin, Joo Eun Kang, Balasz Murnyak, Frank Wendt, Mark Adams, and others
    2023

2022

  1. A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program
    Anurag Verma, Noah L Tsao, Lauren O Thomann, Yuk-Lam Ho, Sudha K Iyengar, Shiuh-Wen Luoh, Rotonya Carr, Dana C Crawford, Jimmy T Efird, Jennifer E Huffman, and others
    PLoS genetics, 2022
  2. Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors
    Niamh Mullins, JooEun Kang, Adrian I Campos, Jonathan RI Coleman, Alexis C Edwards, Hanga Galfalvy, Daniel F Levey, Adriana Lori, Andrey Shabalin, Anna Starnawska, and others
    Biological psychiatry, 2022
  3. Abstract PO-163: Genome-wide polygenic risk score of prostate cancer in African and European ancestry men
    Burcu F Darst, Ravi K Madduri, Alexis A Rodriguez, Xin Sheng, Rosalind A Eeles, Zsofia Kote-Jarai, John M Gaziano, Amy C Justice, David V Conti, and Christopher A Haiman
    Cancer Epidemiology, Biomarkers & Prevention, 2022
  4. Polygenic predisposition to venous thromboembolism is associated with increased COVID-19 positive testing rates
    Jessica Minnier, Jennifer E Huffman, Lina Gao, Jacob Joseph, Emily S Wan, Wen-Chih Wu, Ayako Suzuki, Gita A Pathak, Renato Polimanti, Mehrdad Arjomandi, and others
    medRxiv, 2022
  5. APPFL: open-source software framework for privacy-preserving federated learning
    Minseok Ryu, Youngdae Kim, Kibaek Kim, and Ravi K Madduri
    In 2022 IEEE international parallel and distributed processing symposium workshops (IPDPSW), 2022
  6. Comparison of machine learning and deep learning for view identification from cardiac magnetic resonance images
    Daksh Chauhan, Emeka Anyanwu, Jacob Goes, Stephanie A Besser, Simran Anand, Ravi Madduri, Neil Getty, Sebastian Kelle, Keigo Kawaji, Victor Mor-Avi, and others
    Clinical imaging, 2022
  7. Multi-ancestry Genome-wide Association Study of Varicose Veins Reveals Polygenic Architecture, Genetic Overlap with Arterial and Venous Disease, and Novel Therapeutic Opportunities
    Michael G Levin, Jennifer E Huffman, Anurag Verma, Kyle A Sullivan, Alexis A Rodriguez, David Kainer, Michael R Garvin, Matthew Lane, Hyejung Won, Binglan Li, and others
    medRxiv, 2022
  8. A genome-wide association study of suicide attempts in the million veterans program identifies evidence of pan-ancestry and ancestry-specific risk loci
    Nathan A Kimbrel, Allison E Ashley-Koch, Xue J Qin, Jennifer H Lindquist, Melanie E Garrett, Michelle F Dennis, Lauren P Hair, Jennifer E Huffman, Daniel A Jacobson, Ravi K Madduri, and others
    Molecular psychiatry, 2022
  9. Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations
    Fei Chen, Burcu F Darst, Ravi K Madduri, Alex A Rodriguez, Xin Sheng, Christopher T Rentsch, Caroline Andrews, Wei Tang, Adam S Kibel, Anna Plym, and others
    Elife, 2022
  10. The case for optimized edge-centric tractography at scale
    Joseph Y Moon, Pratik Mukherjee, Ravi K Madduri, Amy J Markowitz, Lanya T Cai, Eva M Palacios, Geoffrey T Manley, and Peer-Timo Bremer
    Frontiers in Neuroinformatics, 2022
  11. Association of kidney comorbidities and acute kidney failure with unfavorable outcomes after COVID-19 in individuals with the sickle cell trait
    Anurag Verma, Jennifer E Huffman, Lina Gao, Jessica Minnier, Wen-Chih Wu, Kelly Cho, Yuk-Lam Ho, Bryan R Gorman, Saiju Pyarajan, Nallakkandi Rajeevan, and others
    JAMA internal medicine, 2022
  12. A MUC5B gene polymorphism, rs35705950-T, confers protective effects against COVID-19 hospitalization but not severe disease or mortality
    Anurag Verma, Jessica Minnier, Emily S Wan, Jennifer E Huffman, Lina Gao, Jacob Joseph, Yuk-Lam Ho, Wen-Chih Wu, Kelly Cho, Bryan R Gorman, and others
    American journal of respiratory and critical care medicine, 2022
  13. Evidence of Novel Susceptibility Variants for Prostate Cancer and a Polygenic Risk Score that Improves Prediction of Aggressive Disease for Men of African Ancestry
    Fei Chen, Ravi K Madduri, Alex A Rodriguez, Burcu F Darst, J Michael Gaziano, Amy C Justice, David V Conti, and Christopher A Haiman
    In GENETIC EPIDEMIOLOGY, 2022
  14. MACE prediction using high-dimensional machine learning and mechanistic interpretation: A longitudinal cohort study in US veterans
    Sayera Dhaubhadel, Beauty Kolade, Ruy M Ribeiro, Kumkum Ganguly, Nicolas W Hengartner, Tanmoy Bhattacharya, Judith D Cohn, Khushbu Agarwal, Kelly Cho, Lauren Costa, and others
    MedRxiv, 2022
  15. HIGH-PERFORMANCE COMPUTING MEETS HIGH-PERFORMANCE MEDICINE
    Anurag Verma, Jennifer Huffman, Ali Torkamani, and Ravi Madduri
    In PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 January 2023, 2022
  16. APPFL: OPEN-SOURCE FRAMEWORK FOR PRIVACY-PRESERVING FEDERATED LEARNING
    KIBAEK KIM, MINSEOK RYU, YOUNGDAE KIM, and RAVI MADDURI
    2022
  17. Kidney failure with unfavorable outcomes after COVID-19 in individuals with the sickle cell trait.
    Anurag Verma, Jennifer E Huffman, Lina Gao, Jessica Minnier, Wen-Chih Wu, Kelly Cho, Yuk-Lam Ho, Bryan R Gorman, Saiju Pyarajan, Nallakkandi Rajeevan, and others
    2022
  18. Genome-wide association study meta-analysis of suicide attempt identifies twelve genome-wide significant loci and implicates genetic risks for specific health factors
    Anna R Docherty, Niamh Mullins, Allison E Ashley-Koch, Xuejun Qin, Jonathan RI Coleman, Andrey Shabalin, JooEun Kang, Balasz Murnyak, Frank Wendt, Mark Adams, and others
    MedRxiv, 2022

2021

  1. Toward Optimized and Predictive Connectomics at Scale
    Joseph Y Moon, Pratik Mukherjee, Ravi K Madduri, Amy J Markowitz, Eva M Palacios, Geoffrey T Manley, and Peer-Timo Bremer
    bioRxiv, 2021
  2. Abstract LB011: Meta-analysis in more than 80,000 men of African ancestry identified nine novel variants associated with prostate cancer
    Fei Chen, Ravi K Madduri, Xin Sheng, Alex Rodriguez, Alisha Chou, Todd L Edwards, Stephen K Van Den Eeden, Rosalind A Eeles, John S Witte, Michael B Cook, and others
    Cancer Research, 2021
  3. A MUC5B gene polymorphism, rs35705950-T, confers protective effects in COVID-19 infection
    Anurag Verma, Jessica Minnier, Jennifer E Huffman, Emily S Wan, Lina Gao, Jacob Joseph, Yuk-Lam Ho, Wen-Chih Wu, Kelly Cho, Bryan R Gorman, and others
    medRxiv, 2021
  4. Transancestry Genome-wide Association Study of Varicose Veins in More Than 1 Million Individuals Reveals Circulating Effectors of Venous Disease
    Michael G Levin, Jennifer Huffman, Anurag Verma, Alexis Rodriguez, Alexander Bick, Ravi Madduri, and Scott Damrauer
    JVS-Vascular Science, 2021
  5. Genome-wide Polygenic Risk Score of Prostate Cancer in African and European Ancestry Men
    Burcu F Darst, Ravi K Madduri, Alexis A Rodriguez, Xin Sheng, Rosalind A Eeles, Zsofia Kote-Jarai, J Michael Gaziano, Amy C Justice, David V Conti, and Christopher A Haiman
    In GENETIC EPIDEMIOLOGY, 2021
  6. MaPPeRTrac
    RAVI K MADDURI and JOSEPH MOON
    2021
  7. Trans-ancestry Genome-wide Association Study Of Varicose Veins In> 1 Million Individuals Reveals Circulating Effectors Of Venous Disease
    Michael Levin, Jennifer Huffman, Anurag Verma, Alexis Rodriguez, Alexander G Bick, Ravi Madduri, and Scott Damrauer
    Arteriosclerosis, Thrombosis, and Vascular Biology, 2021
  8. A Phenome-Wide Association Study of Genes Associated with COVID-19 Severity Reveals Shared Genetics with Rheumatic Conditions: Abstract Number: 1938
    Anurag Verma, Noah Tsao, Lauren Thomann, Yuk-Lam Ho, Rotonya Carr, Jennifer Huffman, Adriana Hung, Kerry Ivey, Sudha Iyengar, Michael Levin, and others
    Arthritis & Rheumatology, 2021

2020

  1. Atlas of transcription factor binding sites from ENCODE DNase hypersensitivity data across 27 tissue types
    Cory C Funk, Alex M Casella, Segun Jung, Matthew A Richards, Alex Rodriguez, Paul Shannon, Rory Donovan-Maiye, Ben Heavner, Kyle Chard, Yukai Xiao, and others
    Cell reports, 2020
  2. Using the face-it portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the bay of napoli, italy
    Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl Porter, Joshua Elliot, Ravi Madduri, David Kelly, Angelo Riccio, and Ian Foster
    Future Generation Computer Systems, 2020
  3. Prevalence of inherited mutations in breast cancer predisposition genes among women in Uganda and Cameroon
    Babatunde Adedokun, Yonglan Zheng, Paul Ndom, Antony Gakwaya, Timothy Makumbi, Alicia Y Zhou, Toshio F Yoshimatsu, Alex Rodriguez, Ravi K Madduri, Ian T Foster, and others
    Cancer Epidemiology, Biomarkers & Prevention, 2020
  4. Mappertrac: A massively parallel, portable, and reproducible tractography pipeline
    A Energy, TRACK-TBI, Joseph Moon, Peer-Timo Bremer, Pratik Mukherjee, Amy J Markowitz, Eva M Palacios, Lanya T Cai, Alexis Rodriguez, Yukai Xiao, Geoffrey T Manley, and others
    bioRxiv, 2020

2019

  1. Reproducible big data science: A case study in continuous FAIRness
    Ravi Madduri, Kyle Chard, Mike d’Arcy, Segun C Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory Funk, Ben Heavner, Matthew Richards, and others
    PloS one, 2019
  2. Scientific Workflow Use Cases, version 1.1
    Marlon Pierce, Ravi Madduri, and Suresh Marru
    Scientific Workflow Use Cases, v1. 1, 2019
  3. Genetic deletion of Sphk2 confers protection against Pseudomonas aeruginosa mediated differential expression of genes related to virulent infection and inflammation in mouse lung
    David L Ebenezer, Panfeng Fu, Yashaswin Krishnan, Mark Maienschein-Cline, Hong Hu, Segun Jung, Ravi Madduri, Zarema Arbieva, Anantha Harijith, and Viswanathan Natarajan
    BMC genomics, 2019
  4. Big Data Bags: A Scalable Packaging Format for Science.
    Mike D’Arcy, Kyle Chard, Ian T Foster, Carl Kesselman, Ravi K Madduri, Nickolaus D Saint, and Rick Wagner
    In RO, 2019

2018

  1. BDQC: a general-purpose analytics tool for domain-blind validation of Big Data
    Eric W Deutsch, Roger Kramer, Joseph Ames, Andrew Bauman, David S Campbell, Kyle Chard, Kristi Clark, Mike D’Arcy, Ivo D Dinov, Rory Donovan, and others
    bioRxiv, 2018
  2. Expression profiling of genes regulated by Sphingosine kinase 2 in a murine model of Pseudomonas aeruginosa mediated acute lung inflammation
    David Lenin Ebenezer, Panfeng Fu, Yashaswin H Krishnan, Segun C Jung, Hong Hu, Zarema Arbieva, Ravi Madduri, Anantha K Harijith, and Viswanathan Natarajan
    The FASEB Journal, 2018
  3. O3-03-01: MECHANISTIC AND DIRECTIONAL TRANSCRIPTIONAL REGULATORY NETWORKS IN ALZHEIMER’S DISEASE
    Cory C Funk, Matthew A Richards, Paul Shannon, Rory Donovan-Maiye, Noa Rappaport, Max Robinson, Mariet Allen, Minerva M Carrasquillo, Paramita Chakrabarty, Karen McFarland, and others
    Alzheimer’s & Dementia, 2018

2017

  1. A novel MERTK mutation causing retinitis pigmentosa
    Hasenin Al-Khersan, Kaanan P Shah, Segun C Jung, Alex Rodriguez, Ravi K Madduri, and Michael A Grassi
    Graefe’s Archive for Clinical and Experimental Ophthalmology, 2017
  2. Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop
    Kathleen M Jagodnik, Simon Koplev, Sherry L Jenkins, Lucila Ohno-Machado, Benedict Paten, Stephan C Schurer, Michel Dumontier, Ruben Verborgh, Alex Bui, Peipei Ping, and others
    Journal of biomedical informatics, 2017
  3. Globus: A case study in software as a service for scientists
    Bryce Allen, Rachana Ananthakrishnan, Kyle Chard, Ian Foster, Ravi Madduri, Jim Pruyne, Stephen Rosen, and Steve Tuecke
    In Proceedings of the 8th Workshop on Scientific Cloud Computing, 2017
  4. Cost-aware cloud profiling, prediction, and provisioning as a service
    Ryan Chard, Kyle Chard, Rich Wolski, Ravi Madduri, Bryan Ng, Kris Bubendorfer, and Ian Foster
    IEEE Cloud Computing, 2017

2016

  1. Models and simulations as a service: exploring the use of galaxy for delivering computational models
    Mark A Walker, Ravi Madduri, Alex Rodriguez, Joseph L Greenstein, and Raimond L Winslow
    Biophysical journal, 2016
  2. LINE1 insertions as a genomic risk factor for schizophrenia: Preliminary evidence from an affected family
    Guia Guffanti, Simona Gaudi, Torsten Klengel, James H Fallon, Harry Mangalam, Ravi Madduri, Alex Rodriguez, Paula DeCrescenzo, Emily Glovienka, Janet Sobell, and others
    American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 2016
  3. Cover Image, Volume 171B, Number 4, June 2016
    Guia Guffanti, Simona Gaudi, Torsten Klengel, James H Fallon, Harry Mangalam, Ravi Madduri, Alex Rodriguez, Paula DeCrescenzo, Emily Glovienka, Janet Sobell, and others
    American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 2016
  4. An automated tool profiling service for the cloud
    Ryan Chard, Kyle Chard, Bryan Ng, Kris Bubendorfer, Alex Rodriguez, Ravi Madduri, and Ian Foster
    In 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2016
  5. Predictive big data analytics: a study of Parkinson’s disease using large, complex, heterogeneous, incongruent, multi-source and incomplete observations
    Ivo D Dinov, Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, Judy Pa, Cathie Spino, Carl Kesselman, and others
    PloS one, 2016
  6. Science as a Service [Guest editors’ introduction]
    Ravi Madduri and Ian Foster
    Computing in Science & Engineering, 2016
  7. I’ll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets
    Kyle Chard, Mike D’Arcy, Ben Heavner, Ian Foster, Carl Kesselman, Ravi Madduri, Alexis Rodriguez, Stian Soiland-Reyes, Carole Goble, Kristi Clark, and others
    In Big Data (Big Data), 2016 IEEE International Conference on, 2016
  8. Applications of the FACE-IT portal and workflow engine for operational food quality prediction and assessment: Mussel farm monitoring in the Bay of Napoli, Italy
    Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl Porter, Joshua Elliot, Ravi Madduri, David Kelly, Angelo Riccio, Ian Foster, and others
    In CEUR Workshop Proceedings, 2016

2015

  1. Consensus Genotyper for Exome Sequencing (CGES): improving the quality of exome variant genotypes
    Vassily Trubetskoy, Alex Rodriguez, Uptal Dave, Nicholas Campbell, Emily L Crawford, Edwin H Cook, James S Sutcliffe, Ian Foster, Ravi Madduri, Nancy J Cox, and others
    Bioinformatics, 2015
  2. A case study for cloud based high throughput analysis of NGS data using the globus genomics system
    Krithika Bhuvaneshwar, Dinanath Sulakhe, Robinder Gauba, Alex Rodriguez, Ravi Madduri, Utpal Dave, Lukasz Lacinski, Ian Foster, Yuriy Gusev, and Subha Madhavan
    Computational and structural biotechnology journal, 2015
  3. FACE-IT: A science gateway for food security research
    Raffaele Montella, David Kelly, Wei Xiong, Alison Brizius, Joshua Elliott, Ravi Madduri, Ketan Maheshwari, Cheryl Porter, Peter Vilter, Michael Wilde, and others
    Concurrency and Computation: Practice and Experience, 2015
  4. The Globus Galaxies platform: delivering science gateways as a service
    Ravi Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex Rodriguez, Dinanath Sulakhe, David Kelly, Utpal Dave, and Ian Foster
    Concurrency and Computation: Practice and Experience, 2015
  5. PDACS: a portal for data analysis services for cosmological simulations
    Ravi Madduri, Alex Rodriguez, Thomas Uram, Katrin Heitmann, Tanu Malik, Saba Sehrish, Ryan Chard, Shreyas Cholia, Marc Paterno, Jim Kowalkowski, and others
    Computing in Science & Engineering, 2015
  6. Big biomedical data as the key resource for discovery science
    Arthur W Toga, Ian Foster, Carl Kesselman, Ravi Madduri, Kyle Chard, Eric W Deutsch, Nathan D Price, Gustavo Glusman, Benjamin D Heavner, Ivo D Dinov, and others
    Journal of the American Medical Informatics Association, 2015
  7. Scalable pCT image reconstruction delivered as a cloud service
    Ryan Chard, Ravi Madduri, Nicholas T Karonis, Kyle Chard, Kirk L Duffin, Caesar E Ordoñez, Thomas D Uram, Justin Fleischauer, Ian T Foster, Michael E Papka, and others
    IEEE Transactions on Cloud Computing, 2015
  8. Cost-aware elastic cloud provisioning for scientific workloads
    Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi Madduri, and Ian Foster
    In 2015 IEEE 8th International Conference on Cloud Computing, 2015
  9. Cost-aware cloud provisioning
    Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi Madduri, and Ian Foster
    In 2015 IEEE 11th International Conference on e-Science, 2015

2014

  1. Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services
    Ravi K Madduri, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Alex Rodriguez, Kyle Chard, Utpal J Dave, and Ian T Foster
    Concurrency and Computation: Practice and Experience, 2014
  2. Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses
    Bo Liu, Ravi K Madduri, Borja Sotomayor, Kyle Chard, Lukasz Lacinski, Utpal J Dave, Jianqiang Li, Chunchen Liu, and Ian T Foster
    Journal of biomedical informatics, 2014
  3. A cloud-based image analysis gateway for traumatic brain injury research
    Kyle Chard, Ravi Madduri, Xia Jiang, Farid Dahi, Michael W Vannier, and Ian Foster
    In 2014 9th Gateway Computing Environments Workshop, 2014
  4. PDACS-A Portal for Data Analysis Services for Cosmological Simulations
    Ryan Chard, Saba Sehrish, Alex Rodriguez, Ravi Madduri, Thomas D Uram, Marc Paterno, Katrin Heitmann, Shreyas Cholia, Jim Kowalkowski, and Salman Habib
    In 2014 9th Gateway Computing Environments Workshop, 2014
  5. ÔØ Å ÒÙ\times Ö ÔØ
    Krithika Bhuvaneshwar, Dinanath Sulakhe, Robinder Gauba, Alex Rodriguez, Ravi Madduri, Utpal Dave, Lukasz Lacinski, Ian Foster, Yuriy Gusev, Subha Madhavan, and others
    2014

2013

  1. Science as a service: how on-demand computing can accelerate discovery
    Ian T Foster and Ravi K Madduri
    In Proceedings of the 4th ACM workshop on Scientific cloud computing, 2013
  2. Experiences in building a next-generation sequencing analysis service using galaxy, globus online and Amazon web service
    Ravi K Madduri, Paul Dave, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, and Ian T Foster
    In Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013
  3. Enabling multi-task computation on galaxy-based gateways using swift
    Ketan Maheshwari, Alex Rodriguez, David Kelly, Ravi Madduri, Justin Wozniak, Michael Wilde, and Ian Foster
    In 2013 IEEE International Conference on Cluster Computing (CLUSTER), 2013
  4. Distributed tools deployment and management for multiple galaxy instances in globus genomics
    Dinanath Sulakhe, Alex Rodriguez, Nick Prozorovsky, Nilesh Kavthekar, Ravi Madduri, Amol Parikh, Paul Dave, Lukasz Lacinski, and Ian Foster
    In Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science, 2013
  5. Extending the Galaxy portal with parallel and distributed execution capability
    Ketan Maheshwari, Alex Rodriguez, David Kelly, Ravi Madduri, Justin M Wozniak, Michael Wilde, and Ian Foster
    In Proceedings of the Fourth International Workshop on Data Intensive Computing in the Clouds 2013, 2013

2012

  1. Deploying bioinformatics workflows on clouds with galaxy and globus provision
    Bo Liu, Borja Sotomayor, Ravi Madduri, Kyle Chard, and Ian Foster
    In 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, 2012
  2. Utilisation of a thoracic oncology database to capture radiological and pathological images for evaluation of response to chemotherapy in patients with malignant pleural mesothelioma
    George B Carey, Stephanie Kazantsev, Mosmi Surati, Cleo E Rolle, Archana Kanteti, Ahad Sadiq, Neil Bahroos, Brigitte Raumann, Ravi Madduri, Paul Dave, and others
    BMJ open, 2012

2011

  1. Enabling collaborative research using the biomedical informatics research network (BIRN)
    Karl G Helmer, Jose Luis Ambite, Joseph Ames, Rachana Ananthakrishnan, Gully Burns, Ann L Chervenak, Ian Foster, Lee Liming, David Keator, Fabio Macciardi, and others
    Journal of the American Medical Informatics Association, 2011
  2. Servicemap: Providing map and gps assistance to service composition in bioinformatics
    Wei Tan, Jia Zhang, Ravi Madduri, Ian Foster, David De Roure, and Carole Goble
    In 2011 IEEE international conference on services computing, 2011
  3. Toward semantics empowered biomedical web services
    Jia Zhang, Ravi Madduri, Wei Tan, Kevin Deichl, John Alexander, and Ian Foster
    In 2011 IEEE International Conference on Web Services, 2011
  4. Recommend-as-you-go: A novel approach supporting services-oriented scientific workflow reuse
    Jia Zhang, Wei Tan, John Alexander, Ian Foster, and Ravi Madduri
    In 2011 IEEE international conference on services computing, 2011
  5. Improving the efficiency of subset queries on raster images
    Tanu Malik, Neil Best, Joshua Elliott, Ravi Madduri, and Ian Foster
    In Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems, 2011
  6. The cardiovascular research grid (cvrg) project
    RL Winslow, J Saltz, I Foster, JJ Carr, Y Ge, MI Miller, L Younes, D Geman, S Graniote, T Kurc, and others
    Proceedings of the AMIA Summit on Translational Bioinformatics, 2011
  7. Providing map and GPS assistance to service composition in bioinformatics
    Wei Tan, Jia Zhang, Ravi Madduri, Ian Foster, and David De Roure
    In 2011 IEEE International Conference on Services Computing, 2011

2010

  1. CaGrid Workflow Toolkit: A taverna based workflow tool for cancer grid
    Wei Tan, Ravi Madduri, Alexandra Nenadic, Stian Soiland-Reyes, Dinanath Sulakhe, Ian Foster, and Carole A Goble
    BMC bioinformatics, 2010
  2. A comparison of using Taverna and BPEL in building scientific workflows: the case of caGrid
    Wei Tan, Paolo Missier, Ian Foster, Ravi Madduri, David De Roure, and Carole Goble
    Concurrency and Computation: Practice and Experience, 2010

2009

  1. Wrap scientific applications as WSRF grid services using gRAVI
    Kyle Chard, Wei Tan, Joshua Boverhof, Ravi Madduri, and Ian Foster
    In 2009 IEEE International Conference on Web Services, 2009
  2. Scientific workflows as services in caGrid: a Taverna and gRAVI approach
    Wei Tan, Kyle Chard, Dinanath Sulakhe, Ravi Madduri, Ian Foster, Stian Soiland-Reyes, and Carole Goble
    In 2009 IEEE International Conference on Web Services, 2009
  3. GridFTP GUI: An easy and efficient way to transfer data in grid
    Wantao Liu, Rajkumar Kettimuthu, Brian Tieman, Ravi Madduri, Bo Li, and Ian Foster
    In International Conference on Networks for Grid Applications, 2009
  4. DataMover: A Lightweight, Extensible Data Movement Framework for Grid Environments.
    Wantao Liu, Rajkumar Kettimuthu, and Ravi K Madduri
    In PDPTA, 2009

2008

  1. caGrid 1.0: an enterprise Grid infrastructure for biomedical research
    Scott Oster, Stephen Langella, Shannon Hastings, David Ervin, Ravi Madduri, Joshua Phillips, Tahsin Kurc, Frank Siebenlist, Peter Covitz, Krishnakant Shanbhag, and others
    Journal of the American Medical Informatics Association, 2008
  2. Building scientific workflow with taverna and bpel: A comparative study in cagrid
    Wei Tan, Paolo Missier, Ravi Madduri, and Ian Foster
    In International Conference on Service-Oriented Computing, 2008
  3. e-Science, caGrid, and translational biomedical research
    Joel Saltz, Tahsin Kurc, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin Gurcan, Justin Permar, and others
    Computer, 2008
  4. Combining the power of Taverna and caGrid: Scientific workflows that enable web-scale collaboration
    Wei Tan, Ian Foster, and Ravi Madduri
    IEEE Internet Computing, 2008
  5. A roadmap for caGrid, an enterprise Grid architecture for biomedical research
    Joel Saltz, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin Kurc, Philip Payne, Renato Ferreira, Beth Plale, Carole Goble, David Ervin, and others
    Studies in health technology and informatics, 2008
  6. Build grid enabled scientific workflows using gravi and taverna
    Kyle Chard, Cem Onyuksel, Wei Tan, Dinanath Sulakhe, Ravi Madduri, and Ian Foster
    In 2008 IEEE Fourth International Conference on eScience, 2008
  7. Orchestrating cagrid services in taverna
    Wei Tan, Ravi Madduri, Kiran Keshav, Baris E Suzek, Scott Oster, and Ian Foster
    In 2008 IEEE International Conference on Web Services, 2008
  8. Integrating caGrid and TeraGrid
    Christine Hung, Ravi Madduri, Kiran Keshav, Scott Oster, Stephen Langella, Stuart Martin, and Stephen Mock
    In Proc. 3rd Ann. TeraGrid Conf, 2008
  9. Enabling petascale science: Data management, troubleshooting, and scalable science services
    Andrew Baranovski, Keith Beattie, Shishir Bharathi, Joshua Boverhof, John Bresnahan, Ann Chervenak, Ian Foster, Tim Freeman, Dan Gunter, Kate Keahey, and others
    In Journal of Physics: Conference Series, 2008
  10. Build Grid Enabled Scientific Workflows Using gRAVI and Taverna
    Cem Onyuksel, Kyle Chard, Wei Tan, Ravi Madduri, Ian Foster, and Dinanath Sulakhe
    2008
  11. Building Scientific Workflow with Taverna and BPEL: A Comparative Study in caGrid
    P Missier, W Tan, R Madduri, and I Foster
    In 4th International Workshop on Engineering Service-Oriented Applications (WESOA), 2008

2007

  1. caGrid 1.0: A grid enterprise architecture for cancer research
    Scott Oster, Stephen Langella, Shannon Hastings, David Ervin, Ravi Madduri, Tahsin Kurc, Frank Siebenlist, Peter Covitz, Krishnakant Shanbhag, Ian Foster, and others
    In AMIA Annual Symposium Proceedings, 2007

2006

  1. Streamlining Grid operations: definition and deployment of a portal-based user registration service
    Ian Foster, Veronika Nefedova, Mehran Ahsant, Rachana Ananthakrishnan, Lee Liming, Ravi Madduri, Olle Mulmo, Laura Pearlman, and Frank Siebenlist
    Journal of Grid Computing, 2006

2004

  1. Reliable data transport: A critical service for the grid
    William E Allcock, Ian Foster, and Ravi Madduri
    In Building service based grids workshop, Global Grid Forum, 2004
  2. An overview of grid file transfer patterns and their implementation in the java cog kit
    Gregor Von Laszewski, Jarek Gawor, Pawel Plaszczak, Mike Hategan, Kaizar Amin, Ravi Madduri, Scott Gose, and Shashank Shankar
    Neural, Parallel & Scientific Computations, 2004
  3. Reliable data transport: A critical service for the grid
    William A Ian, Ian Foster, and Ravi Madduri
    In In Building Service Based Grids Workshop, Global Grid Forum, 2004

2003

  1. Lessons learned producing an ogsi compliant reliable file transfer service
    W Allock and Ravi Madduri
    In Global Grid Forum Workshop on Designing and Implementing Grid Services (held in conjunction with GGF9), 2003

2002

  1. Reliable file transfer in grid environments
    Ravi K Madduri, Cynthia S Hood, and William E Allcock
    In 27th Annual IEEE Conference on Local Computer Networks, 2002. Proceedings. LCN 2002., 2002

  1. The CardioVascular Research Grid (CVRG) Project
    MBA Stephen Granite, MD Andrew Post, Ravi Madduri, Tilak Ratnanather, Jennie Larkin, and Siamak Ardekani
    2002
  2. Perspectives on Informatics
    SHANNON HASTINGS, DAVID ERVIN, RAVI MADDURI, JOSHUA PHILLIPS, TAHSIN KURC, FRANK SIEBENLIST, PETER COVITZ, KRISHNAKANT SHANBHAG, IAN FOSTER, and JOEL SALTZ
    2002
  3. OGSA-DMI Functional Specification 1.0
    Ravi Madduri
    2002
  4. Research Data management using Globus Online
    Ravi K Madduri
    2002
  5. eScience 2025
    Mohsen Amini Salehi, Malcolm Atkinson, Tanja Auge, André Bauer, Matt Baughman, Martin Berzins, E Wes Bethel, Tekin Bicer, Kris Bubendorfer, Jon C Calhoun, and others
    2002