References
- 1Aurrecoechea, C, et al. 2009. PlasmoDB: A functional genomic database for malaria parasites. Nucleic Acids Research, 37: D539–D543. DOI: 10.1093/nar/gkn814
- 2Aurrecoechea, C, et al. 2017. EuPathDB: the eukaryotic pathogen genomics database resource. Nucleic Acids Res, 45: D581–D591. DOI: 10.1093/nar/gkw1105
- 3Bhattacharya, S, et al. 2014. ImmPort: disseminating data to the public for the future of immunology. Immunol Res, 58(2–3): 234–9. DOI: 10.1007/s12026-014-8516-1
- 4Boland, MR, Karczewski, KJ and Tatonetti, NP. 2017. Ten Simple Rules to Enable Multi-site Collaborations through Data Sharing. PLoS Comput Biol, 13(1):
e1005278 . DOI: 10.1371/journal.pcbi.1005278 - 5Cordy, RJ, et al. 2019. Distinct amino acid and lipid perturbations characterize acute versus chronic malaria. JCI Insight, 4(9):
e125156 . DOI: 10.1172/jci.insight.125156 - 6FIPS. Federal Information Processing Standards. Available at
https://www.nist.gov/itl/current-fips [Last accessed December 2019]. - 7FISMA. Federal Information Security Modernization Act. Available at
https://www.dhs.gov/cisa/federal-information-security-modernization-act [Last accessed December 2019]. - 8Gardinassi, LG, et al. 2018. Integrative metabolomics and transcriptomics signatures of clinical tolerance to Plasmodium vivax reveal activation of innate cell immunity and T cell signaling. Redox Biol, 17: 158–170. DOI: 10.1016/j.redox.2018.04.011
- 9Haug, K, et al. 2013. MetaboLights–an open-access general-purpose repository for metabolomics studies and associated meta-data. Nucleic Acids Res, 41(Database issue): D781–6. DOI: 10.1093/nar/gks1004
- 10iRODS-Consortium. 2019. iRODS 4.0 Available at
https://irods.org [Last accessed 2019]. - 11Joyner, CJ, et al. 2019. Humoral immunity prevents clinical malaria during Plasmodium relapses without eliminating gametocytes. PLoS Pathog, 15(9):
e1007974 . DOI: 10.1371/journal.ppat.1007974 - 12Kazic, T. 2015. Ten Simple Rules for Experiments’ Provenance. PLoS Comput Biol, 11(10):
e1004384 . DOI: 10.1371/journal.pcbi.1004384 - 13Leinonen, R, et al. 2011. The sequence read archive. Nucleic Acids Res, 39(Database issue): D19–21. DOI: 10.1093/nar/gkq1019
- 14MaHPIC. 2019. Malaria Host-Pathogen Interaction Center. Available at
http://systemsbiology.emory.edu [Last accessed December 2019]. - 15Merchant, N, et al. 2016. The iPlant Collaborative: Cyberinfrastructure for Enabling Data to Discovery for the Life Sciences. PLoS Biol, 14(1):
e1002342 . DOI: 10.1371/journal.pbio.1002342 - 16PlasmoDB-MaHPIC. MaHPIC Data Catalog and Access Site. Available at
http://plasmodb.org/plasmo/mahpic.jsp [Last accessed December 2019]. - 17Tang, Y, et al. 2017. Integrative analysis associates monocytes with insufficient erythropoiesis during acute Plasmodium cynomolgi malaria in rhesus macaques. Malar J, 16(1):
384 . DOI: 10.1186/s12936-017-2029-z - 18Tang, Y, et al. 2018. Metabolic modeling helps interpret transcriptomic changes during malaria. Biochim Biophys Acta Mol Basis Dis, 1864(6 Pt B): 2329–2340. DOI: 10.1016/j.bbadis.2017.10.023
- 19Taschuk, M and Wilson, G. 2017. Ten simple rules for making research software more robust. PLoS Comput Biol, 13(4):
e1005412 . DOI: 10.1371/journal.pcbi.1005412 - 20Wilkinson, MD, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data, 3:
160018 . DOI: 10.1038/sdata.2016.18 - 21Zook, M, et al. 2017. Ten simple rules for responsible big data research. PLoS Comput Biol, 13(3):
e1005399 . DOI: 10.1371/journal.pcbi.1005399