CFDE Associated and Common Fund Programs’ Landmark Publications

Marino GB, Olaiya S, Evangelista JE, Clarke DJB, Ma'ayan A. 2025. GeneSetCart: assembling, augmenting, combining, visualizing, and analyzing gene sets. Gigascience. 14:giaf025. https://www.doi.org/10.1093/gigascience/giaf025

John Erol Evangelista, Daniel J.B. Clarke, Zhuorui Xie, Stephanie Olaiya, Heesu Kim, Giacomo B. Marino, Anna Byrd, Shivaramakrishna Srinivasan, Sumana Srinivasan, Mano R. Maurya et al.,. 2025. The CFDE Workbench: Integrating Metadata and Processed Data from Common Fund Programs. Biorxiv. . https://www.doi.org/doi.org/10.1101/2025.02.04.636535

Clarke DJB, Evangelista JE, Xie Z, Marino GB, Byrd AI, Maurya MR, Srinivasan S, Yu K, Petrosyan V, Roth ME et al.,. 2025. Playbook workflow builder: Interactive construction of bioinformatics workflows. Plos Computational Biology. 21:e1012901. https://www.doi.org/10.1371/journal.pcbi.1012901

Gjoni K, Pollard KS. 2024. SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models. Bioinformatics (oxford, England). 40(6). https://www.doi.org/10.1093/bioinformatics/btae340

AI-READI Consortium. 2024. AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond. Nature Metabolism. . https://www.doi.org//10.1038/s42255-024-01165-x

Li X, Zhou Chen Y, Kalia A, Zhu H, Liu LP, Hassoun S. 2024. An Ensemble Spectral Prediction (ESP) model for metabolite annotation. Bioinformatics (oxford, England). 40(8). https://www.doi.org/10.1093/bioinformatics/btae490

Beaven E, Kumar R, An JM, Mendoza H, Sutradhar SC, Choi W, Narayan M, Lee YK, Nurunnabi M. 2024. Potentials of ionic liquids to overcome physical and biological barriers. Advanced Drug Delivery Reviews. 204:115157. https://www.doi.org/10.1016/j.addr.2023.115157

Fisher JL, Wilk EJ, Oza VH, Gary SE, Howton TC, Flanary VL, Clark AD, Hjelmeland AB, Lasseigne BN. 2024. Signature reversion of three disease-associated gene signatures prioritizes cancer drug repurposing candidates. Febs Open Bio. 14(5):803-830. https://www.doi.org/10.1002/2211-5463.13796

Diwan R, Gaytan SL, Bhatt HN, Pena-Zacarias J, Nurunnabi M. 2024. Liver fibrosis pathologies and potentials of RNA based therapeutics modalities. Drug Delivery And Translational Research. 14(10):2743-2770. https://www.doi.org/10.1007/s13346-024-01551-8

Liu YA, Aboud O, Dahabiyeh LA, Bloch O, Fiehn O. 2024. Metabolomic characterization of human glioblastomas and patient plasma: a pilot study. F1000research. 13:98. https://www.doi.org/10.12688/f1000research.143642.3

MoTrPAC Study Group, Lead Analysts, MoTrPAC Study Group. 2024. Temporal dynamics of the multi-omic response to endurance exercise training. Nature. 629(8010):174-183. https://www.doi.org/10.1038/s41586-023-06877-w

Suryadevara V, Hudgins AD, Rajesh A, Pappalardo A, Karpova A, Dey AK, Hertzel A, Agudelo A, Rocha A, Soygur B et al.,. 2024. SenNet recommendations for detecting senescent cells in different tissues. Nature Reviews Molecular Cell Biology. . https://www.doi.org/10.1038/s41580-024-00738-8

Fisher JL, Clark AD, Jones EF, Lasseigne BN. 2024. Sex-biased gene expression and gene-regulatory networks of sex-biased adverse event drug targets and drug metabolism genes. Bmc Pharmacology & Toxicology. 25(1):5. https://www.doi.org/10.1186/s40360-023-00727-1

Shahneh MRZ, Strobel M, Vitale GA, Geibel C, Abiead YE, Garg N, Wagner B, Forchhammer K, Aron A, Phelan VV et al.,. 2024. ModiFinder: Tandem Mass Spectral Alignment Enables Structural Modification Site Localization. Journal Of The American Society For Mass Spectrometry. 35(11):2564-2578. https://www.doi.org/10.1021/jasms.4c00061

Weiskittel TM, Cao A, Meng-Lin K, Lehmann Z, Feng B, Correia C, Zhang C, Wisniewski P, Zhu S, Yong Ung C et al.,. 2023. Network Biology-Inspired Machine Learning Features Predict Cancer Gene Targets and Reveal Target Coordinating Mechanisms. Pharmaceuticals (basel, Switzerland). 16(5). https://www.doi.org/10.3390/ph16050752

Takata N, Miska JM, Morgan MA, Patel P, Billingham LK, Joshi N, Schipma MJ, Dumar ZJ, Joshi NR, Misharin AV et al.,. 2023. Lactate-dependent transcriptional regulation controls mammalian eye morphogenesis. Nature Communications. 14(1):4129. https://www.doi.org/10.1038/s41467-023-39672-2

Roy AL, Conroy RS, Taylor VG, Mietz J, Fingerman IM, Pazin MJ, Smith P, Hutter CM, Singer DS, Wilder EL. 2023. Elucidating the structure and function of the nucleus-The NIH Common Fund 4D Nucleome program. Molecular Cell. 83(3):335-342. https://www.doi.org/10.1016/j.molcel.2022.12.025

Upchurch S, Palumbo E, Adams J, Bujold D, Bourque G, Nedzel J, Graham K, Kagda MS, Assis P, Hitz B et al.,. 2023. RNAget: an API to securely retrieve RNA quantifications. Bioinformatics (oxford, England). 39(4). https://www.doi.org/10.1093/bioinformatics/btad126

Afrin H, Esquivel SV, Kumar R, Zahid MI, Oporeza B, Rahman MF, Boland T, Nurunnabi M. 2023. beta-Glucan-Mediated Oral Codelivery of 5FU and Bcl2 siRNA Attenuates Stomach Cancer. Acs Applied Materials & Interfaces. 15(27):32188-32200. https://www.doi.org/10.1021/acsami.3c03528

Lachmann A, Rizzo KA, Bartal A, Jeon M, Clarke DJB, Ma'ayan A. 2023. PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices. Peerj. 11:e14927. https://www.doi.org/10.7717/peerj.14927

Kumar R, Huda MN, Habib A, Nafiujjaman M, Woo HJ, Kim T, Nurunnabi M. 2023. Carbon Coated Iron-Cobalt Nanoparticles for Magnetic Particle Imaging. Acs Applied Bio Materials. 6(8):3257-3265. https://www.doi.org/10.1021/acsabm.3c00354

Esquivel SV, Bhatt HN, Diwan R, Habib A, Lee WY, Khatun Z, Nurunnabi M. 2023. beta-Glucan and Fatty Acid Based Mucoadhesive Carrier for Gastrointestinal Tract Specific Local and Sustained Drug Delivery. Biomolecules. 13(5). https://www.doi.org/10.3390/biom13050768

Higgins D, Thibert JP, Mattioni M, DiGiovanna J, Grossman RL, Farrow BK, Wenger E, Volchenboum S, Carroll RJ, Haendel MA et al.,. 2023. Gabriella Miller Kids First Data Resource Center (KFDRC): Empowering discovery across germline and somatic variation in pediatric cancer. Cancer Research. 7_Supplement(83):6576. https://www.doi.org/10.1158/1538-7445.AM2023-6576

Bhatt HN, Pena-Zacarias J, Beaven E, Zahid MI, Ahmad SS, Diwan R, Nurunnabi M. 2023. Potential and Progress of 2D Materials in Photomedicine for Cancer Treatment. Acs Applied Bio Materials. 6(2):365-383. https://www.doi.org/10.1021/acsabm.2c00981

Evangelista JE, Xie Z, Marino GB, Nguyen N, Clarke DJB, Ma'ayan A. 2023. Enrichr-KG: bridging enrichment analysis across multiple libraries. Nucleic Acids Research. 51(W1):W168-W179. https://www.doi.org/10.1093/nar/gkad393

Williams AS, Wilk EJ, Fisher JL, Lasseigne BN. 2023. Evaluating cancer cell line and patient-derived xenograft recapitulation of tumor and non-diseased tissue gene expression profiles in silico. Cancer Reports (hoboken, N.j.). 6(9):e1874. https://www.doi.org/10.1002/cnr2.1874

Rodriguez EP, Li Y, Vaniya A, Shih PM, Fiehn O. 2023. Alternative Identification of Glycosides Using MS/MS Matching with an In Silico-Modified Aglycone Mass Spectra Library. Analytical Chemistry. 95(28):10618-10624. https://www.doi.org/10.1021/acs.analchem.3c00957

Marino GB, Wojciechowicz ML, Clarke DJB, Kuleshov MV, Xie Z, Jeon M, Lachmann A, Ma'ayan A. 2023. lncHUB2: aggregated and inferred knowledge about human and mouse lncRNAs. Database : The Journal Of Biological Databases And Curation. 2023. https://www.doi.org/10.1093/database/baad009

Prieto LI, Sturmlechner I, Graves SI, Zhang C, Goplen NP, Yi ES, Sun J, Li H, Baker DJ. 2023. Senescent alveolar macrophages promote early-stage lung tumorigenesis. Cancer Cell. 41(7):1261-1275.e6. https://www.doi.org/10.1016/j.ccell.2023.05.006

Kong F, Keshet U, Shen T, Rodriguez E, Fiehn O. 2023. LibGen: Generating High Quality Spectral Libraries of Natural Products for EAD-, UVPD-, and HCD-High Resolution Mass Spectrometers. Analytical Chemistry. 95(46):16810-16818. https://www.doi.org/10.1021/acs.analchem.3c02263

Chen F, Wang X, Jang SK, Quach BC, Weissenkampen JD, Khunsriraksakul C, Yang L, Sauteraud R, Albert CM, Allred NDD et al.,. 2023. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing. Nature Genetics. 55(2):291-300. https://www.doi.org/10.1038/s41588-022-01282-x

Amadori L, Calcagno C, Fernandez DM, Koplev S, Fernandez N, Kaur R, Mury P, Khan NS, Sajja S, Shamailova R et al.,. 2023. Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis. Nature Cardiovascular Research. 2(6):550-571. https://www.doi.org/10.1038/s44161-023-00278-y

Morgan EW, Dong F, Annalora AJ, Murray IA, Wolfe T, Erickson R, Gowda K, Amin SG, Petersen KS, Kris-Etherton PM et al.,. 2023. Contribution of Circulating Host and Microbial Tryptophan Metabolites Toward Ah Receptor Activation. International Journal Of Tryptophan Research : Ijtr. 16:11786469231182510. https://www.doi.org/10.1177/11786469231182510

Wilk EJ, Howton TC, Fisher JL, Oza VH, Brownlee RT, McPherson KC, Cleary HL, Yoder BK, George JF, Mrug M et al.,. 2023. Prioritized polycystic kidney disease drug targets and repurposing candidates from pre-cystic and cystic mouse Pkd2 model gene expression reversion. Molecular Medicine (cambridge, Mass.). 29(1):67. https://www.doi.org/10.1186/s10020-023-00664-z

Marino GB, Ngai M, Clarke DJB, Fleishman RH, Deng EZ, Xie Z, Ahmed N, Ma'ayan A. 2023. GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery. Nucleic Acids Research. 51(W1):W213-W224. https://www.doi.org/10.1093/nar/gkad399

Bittremieux W, Levitsky L, Pilz M, Sachsenberg T, Huber F, Wang M, Dorrestein PC. 2023. Unified and Standardized Mass Spectrometry Data Processing in Python Using spectrum_utils. Journal Of Proteome Research. 22(2):625-631. https://www.doi.org/10.1021/acs.jproteome.2c00632

Flanary VL, Fisher JL, Wilk EJ, Howton TC, Lasseigne BN. 2023. Computational Advancements in Cancer Combination Therapy Prediction. Jco Precision Oncology. 7:e2300261. https://www.doi.org/10.1200/PO.23.00261

Fame RM, Kalugin PN, Petrova B, Xu H, Soden PA, Shipley FB, Dani N, Grant B, Pragana A, Head JP et al.,. 2023. Defining diurnal fluctuations in mouse choroid plexus and CSF at high molecular, spatial, and temporal resolution. Nature Communications. 14(1):3720. https://www.doi.org/10.1038/s41467-023-39326-3

Evangelista JE, Clarke DJB, Xie Z, Marino GB, Utti V, Jenkins SL, Ahooyi TM, Bologa CG, Yang JJ, Binder JL et al.,. 2023. Toxicology knowledge graph for structural birth defects. Communications Medicine. 3(1):98. https://www.doi.org/10.1038/s43856-023-00329-2

Deng EZ, Fleishman RH, Xie Z, Marino GB, Clarke DJB, Ma'ayan A. 2023. Computational screen to identify potential targets for immunotherapeutic identification and removal of senescence cells. Aging Cell. 22(6):e13809. https://www.doi.org/10.1111/acel.13809

Pruvost M, Patzig J, Yattah C, Selcen I, Hernandez M, Park HJ, Moyon S, Liu S, Morioka MS, Shopland L et al.,. 2023. The stability of the myelinating oligodendrocyte transcriptome is regulated by the nuclear lamina. Cell Reports. 42(8):112848. https://www.doi.org/10.1016/j.celrep.2023.112848

Meng-Lin K, Ung CY, Zhang C, Weiskittel TM, Wisniewski P, Zhang Z, Tan SH, Yeo KS, Zhu S, Correia C et al.,. 2023. SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes. Biomolecules. 13(6). https://www.doi.org/10.3390/biom13060895

Higgins K, Moore BA, Berberovic Z, Adissu HA, Eskandarian M, Flenniken AM, Shao A, Imai DM, Clary D, Lanoue L et al.,. 2022. Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes. Scientific Reports. 12(1):20791. https://www.doi.org/10.1038/s41598-022-19710-7

Kumar R, Islam T, Nurunnabi M. 2022. Mucoadhesive carriers for oral drug delivery. Journal Of Controlled Release : Official Journal Of The Controlled Release Society. 351:504-559. https://www.doi.org/10.1016/j.jconrel.2022.09.024

Srivastava H, Lippincott MJ, Currie J, Canfield R, Lam MPY, Lau E. 2022. Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners. Plos Computational Biology. 18(11):e1010702. https://www.doi.org/10.1371/journal.pcbi.1010702

Charbonneau AL, Brady A, Czajkowski K, Aluvathingal J, Canchi S, Carter R, Chard K, Clarke DJB, Crabtree J, Creasy HH et al.,. 2022. Making Common Fund data more findable: catalyzing a data ecosystem. Gigascience. 11. https://www.doi.org/10.1093/gigascience/giac105

Kropiwnicki E, Lachmann A, Clarke DJB, Xie Z, Jagodnik KM, Ma'ayan A. 2022. DrugShot: querying biomedical search terms to retrieve prioritized lists of small molecules. Bmc Bioinformatics. 23(1):76. https://www.doi.org/10.1186/s12859-022-04590-5

Evangelista JE, Clarke DJB, Xie Z, Lachmann A, Jeon M, Chen K, Jagodnik KM, Jenkins SL, Kuleshov MV, Wojciechowicz ML et al.,. 2022. SigCom LINCS: data and metadata search engine for a million gene expression signatures. Nucleic Acids Research. 50(W1):W697-W709. https://www.doi.org/10.1093/nar/gkac328

Srivastava H, Pozzoli M, Lau E. 2022. Defining the Roles of Cardiokines in Human Aging and Age-Associated Diseases. Frontiers In Aging. 3:884321. https://www.doi.org/10.3389/fragi.2022.884321

Jeon M, Xie Z, Evangelista JE, Wojciechowicz ML, Clarke DJB, Ma'ayan A. 2022. Transforming L1000 profiles to RNA-seq-like profiles with deep learning. Bmc Bioinformatics. 23(1):374. https://www.doi.org/10.1186/s12859-022-04895-5

Surles-Zeigler MC, Sincomb T, Gillespie TH, de Bono B, Bresnahan J, Mawe GM, Grethe JS, Tappan S, Heal M, Martone ME. 2022. Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project. Frontiers In Neuroinformatics. 16:819198. https://www.doi.org/10.3389/fninf.2022.819198

Hammond DE, Simpson DM, Franco C, Wright Muelas M, Waters J, Ludwig RW, Prescott MC, Hurst JL, Beynon RJ, Lau E. 2022. Harmonizing Labeling and Analytical Strategies to Obtain Protein Turnover Rates in Intact Adult Animals. Molecular & Cellular Proteomics : Mcp. 21(7):100252. https://www.doi.org/10.1016/j.mcpro.2022.100252

Lachmann A, Xie Z, Ma'ayan A. 2022. blitzGSEA: efficient computation of gene set enrichment analysis through gamma distribution approximation. Bioinformatics (oxford, England). 38(8):2356-2357. https://www.doi.org/10.1093/bioinformatics/btac076

Petras D, Phelan VV, Acharya D, Allen AE, Aron AT, Bandeira N, Bowen BP, Belle-Oudry D, Boecker S, Cummings DA Jr et al.,. 2022. GNPS Dashboard: collaborative exploration of mass spectrometry data in the web browser. Nature Methods. 19(2):134-136. https://www.doi.org/10.1038/s41592-021-01339-5

Borner K, Bueckle A, Herr BW 2nd, Cross LE, Quardokus EM, Record EG, Ju Y, Silverstein JC, Browne KM, Jain S et al.,. 2022. Tissue registration and exploration user interfaces in support of a human reference atlas. Communications Biology. 5(1):1369. https://www.doi.org/10.1038/s42003-022-03644-x

Xie Z, Kropiwnicki E, Wojciechowicz ML, Jagodnik KM, Shu I, Bailey A, Clarke DJB, Jeon M, Evangelista JE, V Kuleshov M et al.,. 2022. Getting Started with LINCS Datasets and Tools. Current Protocols. 2(7):e487. https://www.doi.org/10.1002/cpz1.487

Cheng KC, Burdine RD, Dickinson ME, Ekker SC, Lin AY, Lloyd KCK, Lutz CM, MacRae CA, Morrison JH, O'Connor DH et al.,. 2022. Promoting validation and cross-phylogenetic integration in model organism research. Disease Models & Mechanisms. 15(9). https://www.doi.org/10.1242/dmm.049600

Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM et al.,. 2022. Genetic diversity fuels gene discovery for tobacco and alcohol use. Nature. 612(7941):720-724. https://www.doi.org/10.1038/s41586-022-05477-4

Rahiminejad S, Maurya MR, Mukund K, Subramaniam S. 2022. Modular and mechanistic changes across stages of colorectal cancer. Bmc Cancer. 22(1):436. https://www.doi.org/10.1186/s12885-022-09479-3

Tetikol HS, Turgut D, Narci K, Budak G, Kalay O, Arslan E, Demirkaya-Budak S, Dolgoborodov A, Kabakci-Zorlu D, Semenyuk V et al.,. 2022. Pan-African genome demonstrates how population-specific genome graphs improve high-throughput sequencing data analysis. Nature Communications. 13(1):4384. https://www.doi.org/10.1038/s41467-022-31724-3

Clarke DJB, Kuleshov MV, Xie Z, Evangelista JE, Meyers MR, Kropiwnicki E, Jenkins SL, Ma'ayan A. 2022. Gene and drug landing page aggregator. Bioinformatics Advances. 2(1):vbac013. https://www.doi.org/10.1093/bioadv/vbac013

Fisher JL, Jones EF, Flanary VL, Williams AS, Ramsey EJ, Lasseigne BN. 2022. Considerations and challenges for sex-aware drug repurposing. Biology Of Sex Differences. 13(1):13. https://www.doi.org/10.1186/s13293-022-00420-8

Han Y, Wennersten SA, Wright JM, Ludwig RW, Lau E, Lam MPY. 2022. Proteogenomics reveals sex-biased aging genes and coordinated splicing in cardiac aging. American Journal Of Physiology. Heart And Circulatory Physiology. 323(3):H538-H558. https://www.doi.org/10.1152/ajpheart.00244.2022

Feng F, Yao Y, Wang XQD, Zhang X, Liu J. 2022. Connecting high-resolution 3D chromatin organization with epigenomics. Nature Communications. 13(1):2054. https://www.doi.org/10.1038/s41467-022-29695-6

Osanlouy M, Bandrowski A, de Bono B, Brooks D, Cassarà AM, Christie R, Ebrahimi N, Gillespie T, Grethe JS, Guercio LA et al.,. 2021. The SPARC DRC: Building a Resource for the Autonomic Nervous System Community. Frontiers In Physiology. 12:693735. https://www.doi.org/10.3389/fphys.2021.693735

Mukund K, Nayak P, Ashokkumar C, Rao S, Almeda J, Betancourt-Garcia MM, Sindhi R, Subramaniam S. 2021. Immune Response in Severe and Non-Severe Coronavirus Disease 2019 (COVID-19) Infection: A Mechanistic Landscape. Frontiers In Immunology. 12:738073. https://www.doi.org/10.3389/fimmu.2021.738073

Bueckle A, Buehling K, Shih PC, Borner K. 2021. 3D virtual reality vs. 2D desktop registration user interface comparison. Plos One. 16(10):page. https://www.doi.org/10.1371/journal.pone.0258103

Amiri H, Kohane IS, Undiagnosed Diseases Network. 2021. Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network. Jama Network Open. 4(2):e2036220. https://www.doi.org/10.1001/jamanetworkopen.2020.36220

Powell CD, Moseley HNB. 2021. The mwtab Python Library for RESTful Access and Enhanced Quality Control, Deposition, and Curation of the Metabolomics Workbench Data Repository. Metabolites. 11(3). https://www.doi.org/10.3390/metabo11030163

York WS, Mazumder R, Ranzinger R, Edwards N, Kahsay R, Aoki-Kinoshita KF, Campbell MP, Cummings RD, Feizi T, Martin M et al.,. 2020. GlyGen: Computational and Informatics Resources for Glycoscience. Glycobiology. 30(2):72-73. https://www.doi.org/10.1093/glycob/cwz080

Sanford JA, Nogiec CD, Lindholm ME, Adkins JN, Amar D, Dasari S, Drugan JK, Fernández FM, Radom-Aizik S, Schenk S et al.,. 2020. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise. Cell. 181(7):1464-1474. https://www.doi.org/10.1016/j.cell.2020.06.004

HuBMAP Consortium. 2019. The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nature. 574(7777):187-192. https://www.doi.org/10.1038/s41586-019-1629-x

Mulder N, Abimiku A, Adebamowo SN, de Vries J, Matimba A, Olowoyo P, Ramsay M, Skelton M, Stein DJ. 2018. H3Africa: current perspectives. Pharmacogenomics And Personalized Medicine. 11:59-66. https://www.doi.org/10.2147/PGPM.S141546

Keenan AB, Jenkins SL, Jagodnik KM, Koplev S, He E, Torre D, Wang Z, Dohlman AB, Silverstein MC, Lachmann A et al.,. 2018. The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations. Cell Systems. 6(1):13-24. https://www.doi.org/10.1016/j.cels.2017.11.001

Oprea TI, Bologa CG, Brunak S, Campbell A, Gan GN, Gaulton A, Gomez SM, Guha R, Hersey A, Holmes J et al.,. 2018. Unexplored therapeutic opportunities in the human genome. Nature Reviews Drug Discovery. 17(5):317-332. https://www.doi.org/10.1038/nrd.2018.14

Dekker J, Belmont AS, Guttman M, Leshyk VO, Lis JT, Lomvardas S, Mirny LA, O'Shea CC, Park PJ, Ren B et al.,. 2017. The 4D nucleome project. Nature. 549(7671):219-226. https://www.doi.org/10.1038/nature23884

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Dickinson ME, Flenniken AM, Ji X, Teboul L, Wong MD, White JK, Meehan TF, Weninger WJ, Westerberg H, Adissu H et al.,. 2016. High-throughput discovery of novel developmental phenotypes. Nature. 537(7621):508-514. https://www.doi.org/10.1038/nature19356

Ainsztein AM, Brooks PJ, Dugan VG, Ganguly A, Guo M, Howcroft TK, Kelley CA, Kuo LS, Labosky PA, Lenzi R et al.,. 2015. The NIH Extracellular RNA Communication Consortium. Journal Of Extracellular Vesicles. 4:27493. https://www.doi.org/10.3402/jev.v4.27493

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Human Microbiome Project Consortium. 2012. A framework for human microbiome research. Nature. 486(7402):215-21. https://www.doi.org/10.1038/nature11209

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