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Nat Biotechnol. 2015 Jul;33(7):686-7. doi: 10.1038/nbt.3240.

Toward effective software solutions for big biology.

Author information

1
1] Department of Medical Genetics, University Medical Centre, Utrecht, the Netherlands. [2] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), CancerGenomics. nl, Utrecht, the Netherlands. [3] Department of Nematology, Wageningen University, the Netherlands.
2
Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), CancerGenomics. nl, Utrecht, the Netherlands.
3
St. Petersburg State University, St. Petersburg, Russia.
4
University of Groningen, Groningen Bioinformatics Centre, Groningen, the Netherlands.
5
1] Department of Medical Genetics, University Medical Centre, Utrecht, the Netherlands. [2] Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), CancerGenomics. nl, Utrecht, the Netherlands.
6
Office of the Director, The National Institutes of Health, Bethesda, Maryland, USA.
PMID:
26154002
DOI:
10.1038/nbt.3240
[Indexed for MEDLINE]

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