Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators

Title
Unmet needs for analyzing biological big data: A survey of 704 NSF principal investigators
Authors
Keywords
Biological data management, Bioinformatics, Data management, Biologists, Cell division analysis, Computational biology, Biology and life sciences, Nucleotide sequencing
Journal
PLoS Computational Biology
Volume 13, Issue 10, Pages e1005755
Publisher
Public Library of Science (PLoS)
Online
2017-10-20
DOI
10.1371/journal.pcbi.1005755

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started