The State of Software for Evolutionary Biology

Volume: 35, Issue: 5, Pages: 1037 - 1046
Published: Jan 29, 2018
Abstract
With Next Generation Sequencing data being routinely used, evolutionary biology is transforming into a computational science. Thus, researchers have to rely on a growing number of increasingly complex software. All widely used core tools in the field have grown considerably, in terms of the number of features as well as lines of code and consequently, also with respect to software complexity. A topic that has received little attention is the...
Paper Details
Title
The State of Software for Evolutionary Biology
Published Date
Jan 29, 2018
Volume
35
Issue
5
Pages
1037 - 1046
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.