Biology Needs Evolutionary Software Tools: Let’s Build Them Right-Reference-Cited by-同舟云学术

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Biology Needs Evolutionary Software Tools: Let’s Build Them Right

Published:2018-04-23 Issue:6 Volume:35 Page:1372-1375
ISSN:0737-4038
Container-title:Molecular Biology and Evolution
language:en
Short-container-title:

Author:

Nekrutenko Anton¹^ORCID,Team Galaxy²,Goecks Jeremy³,Taylor James⁴,Blankenberg Daniel⁵^ORCID

Affiliation:

1. Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA

2. The Galaxy Project, https://github.com/orgs/galaxyproject/people Biomedical Engineering

3. Department, Computational Biology Program, Oregon Health and Science University, Portland, OR

4. Department of Biology, Johns Hopkins University, Baltimore, MD

5. Lerner Research Institute, Cleveland Clinic, Cleveland, OH

Funder

NIH

NSF

Publisher

Oxford University Press (OUP)

Subject

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

Link

http://academic.oup.com/mbe/article-pdf/35/6/1372/25091628/msy084.pdf

Reference16 articles.

1. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update;Afgan;Nucleic Acids Res.,2016

2. Reproducibility of computational workflows is automated using continuous analysis;Beaulieu-Jones;Nat. Biotechnol,2017

3. A framework for collaborative analysis of ENCODE data: making large-scale analyses biologist-friendly;Blankenberg;Genome Res,2007

4. Bioconda: a sustainable and comprehensive software distribution for the life sciences;Dale;bioRxiv [Internet],2017

5. Nothing in biology makes sense except in the light of evolution;Dobzhansky;Am Biol Teach,1973

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1. Software engineering for scientific big data analysis;GigaScience;2019-05-01

2. Recommendations for the packaging and containerizing of bioinformatics software;F1000Research;2019-03-20

3. Container Orchestration on HPC Clusters;Lecture Notes in Computer Science;2019

4. High-Performance Phylogenetic Inference;Bioinformatics and Phylogenetics;2019

5. Recommendations for the packaging and containerizing of bioinformatics software;F1000Research;2018-06-14

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