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How bioinformatics and open data can boost basic science in countries and universities with limited resources

Nature Biotechnologyvolume 37pages324326 (2019) | Download Citation

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Providing training and access to standard computing hardware and cloud-based resources can enable scientists in lower-resource institutions and countries to reanalyze published ‘-omics’ data and produce career-enhancing STEM research.

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Acknowledgements

We thank CGSI, which is funded by NIH grant GM112625, for proving the platform to discuss and implement this project. S.M. and L.S.M. receive support from the Institute for Quantitative and Computational Biosciences (QCBio) at UCLA. S.M. and E.E. are supported by National Science Foundation grants 0513612, 0731455, 0729049, 0916676, 1065276, 1302448, 1320589 and 1331176 and National Institutes of Health grants K25-HL080079, U01-DA024417, P01-HL30568, P01-HL28481, R01-GM083198, R01-ES021801, R01-MH101782 and R01-ES022282. S.M. and I.T. were partially supported by travel awards from the International Organization for Migration (IOM) and the Bureau of Diaspora Relationships of the Government of Moldova. J.S.-G. is supported by the Sistema Nacional de Investigadores (SNI) from La Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT), which is administered by the federal government of Panama. I.T. was partially supported by the following grants: NIH National Center for Advancing Translational Sciences (grants IXXS91004N and CCNS91355F); award UL1TR001876, District of Columbia Center for AIDS Research (DC-CFAR), an NIH funded program (AI117970), which is supported by the following NIH co-funding and participating institutes and centers: NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, FIC, NIGMS, NIDDK and OAR (grant CCLS91351F); a Fulbright US Scholar Award (48160426/PS00232361) from the Department and State, Bureau of Educational and Cultural Affairs (ECA), International Institute for Education’s Council for International Exchange of Scholars (IIE/CIES), and US Fulbright Association. B.L. was supported by National Science Foundation grant IIS-1349906 and National Institutes of Health grant R01GM118568.

Author information

Author notes

  1. These authors contributed equally: Serghei Mangul, Lana S. Martin.

Affiliations

  1. Department of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA

    • Serghei Mangul
    •  & Eleazar Eskin
  2. Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA

    • Serghei Mangul
    •  & Lana S. Martin
  3. Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA

    • Ben Langmead
  4. Research Group in Biotechnology, Bioinformatics and Systems Biology, Agroindustrial Research and Production Center, Technological University of Panama, Panama City, Panama

    • Javier E. Sanchez-Galan
  5. Department of Clinical Research and Leadership, George Washington School of Medicine and Health Sciences, Washington, DC, USA

    • Ian Toma
  6. Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA

    • Fereydoun Hormozdiari
  7. Department of Computer Science, University of California, San Diego, La Jolla, CA, USA

    • Pavel Pevzner

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Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Serghei Mangul.

Supplementary information

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    Supplementary Figures 1 and 2, Supplementary Tables 1 and 2, and Supplementary Note 1

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https://doi.org/10.1038/s41587-019-0053-y

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