Biology needs evolutionary software tools

Let's build them right

Anton Nekrutenko, Galaxy Team, Jeremy Goecks, James Taylor, Daniel Blankenberg

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today's life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training.

Original languageEnglish (US)
Pages (from-to)1372-1375
Number of pages4
JournalMolecular Biology and Evolution
Volume35
Issue number6
DOIs
StatePublished - Jun 1 2018

Fingerprint

life science
Software
Biological Science Disciplines
software
Biological Sciences
microbial ecology
technological development
evolutionary biology
population genetics
cancer
Population Genetics
Ecology
Documentation
neoplasms
Research
Population
need
Neoplasms
documentation
responsibility

Keywords

  • Computational biology
  • Evolutionary biology
  • Software

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics

Cite this

Biology needs evolutionary software tools : Let's build them right. / Nekrutenko, Anton; Team, Galaxy; Goecks, Jeremy; Taylor, James; Blankenberg, Daniel.

In: Molecular Biology and Evolution, Vol. 35, No. 6, 01.06.2018, p. 1372-1375.

Research output: Contribution to journalArticle

Nekrutenko, Anton ; Team, Galaxy ; Goecks, Jeremy ; Taylor, James ; Blankenberg, Daniel. / Biology needs evolutionary software tools : Let's build them right. In: Molecular Biology and Evolution. 2018 ; Vol. 35, No. 6. pp. 1372-1375.
@article{cb8a1904547041cc861c5839c62723e0,
title = "Biology needs evolutionary software tools: Let's build them right",
abstract = "Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today's life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training.",
keywords = "Computational biology, Evolutionary biology, Software",
author = "Anton Nekrutenko and Galaxy Team and Jeremy Goecks and James Taylor and Daniel Blankenberg",
year = "2018",
month = "6",
day = "1",
doi = "10.1093/molbev/msy084",
language = "English (US)",
volume = "35",
pages = "1372--1375",
journal = "Molecular Biology and Evolution",
issn = "0737-4038",
publisher = "Oxford University Press",
number = "6",

}

TY - JOUR

T1 - Biology needs evolutionary software tools

T2 - Let's build them right

AU - Nekrutenko, Anton

AU - Team, Galaxy

AU - Goecks, Jeremy

AU - Taylor, James

AU - Blankenberg, Daniel

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today's life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training.

AB - Research in population genetics and evolutionary biology has always provided a computational backbone for life sciences as a whole. Today evolutionary and population biology reasoning are essential for interpretation of large complex datasets that are characteristic of all domains of today's life sciences ranging from cancer biology to microbial ecology. This situation makes algorithms and software tools developed by our community more important than ever before. This means that we, developers of software tool for molecular evolutionary analyses, now have a shared responsibility to make these tools accessible using modern technological developments as well as provide adequate documentation and training.

KW - Computational biology

KW - Evolutionary biology

KW - Software

UR - http://www.scopus.com/inward/record.url?scp=85050857768&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050857768&partnerID=8YFLogxK

U2 - 10.1093/molbev/msy084

DO - 10.1093/molbev/msy084

M3 - Article

VL - 35

SP - 1372

EP - 1375

JO - Molecular Biology and Evolution

JF - Molecular Biology and Evolution

SN - 0737-4038

IS - 6

ER -