Biology Needs Evolutionary Software Tools: Let’s Build Them Right
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Daniel J. Blankenberg | D. Blankenberg | A. Nekrutenko | G. Team | J. Goecks | James Taylor | Jeremy Goecks
[1] R. Lewontin,et al. A molecular approach to the study of genic heterozygosity in natural populations. I. The number of alleles at different loci in Drosophila pseudoobscura. , 1966, Genetics.
[2] R. Lewontin,et al. A molecular approach to the study of genic heterozygosity in natural populations. II. Amount of variation and degree of heterozygosity in natural populations of Drosophila pseudoobscura. , 1966, Genetics.
[3] R. Lewontin,et al. A molecular approach to the study of genic heterozygosity in natural populations. IV. Patterns of genic variation in central, marginal and isolated populations of Drosophila pseudoobscura. , 1969, Genetics.
[4] M. Kreitman,et al. Nucleotide polymorphism at the alcohol dehydrogenase locus of Drosophila melanogaster , 1983, Nature.
[5] R. Gadagkar. Nothing in Biology Makes Sense Except in the Light of Evolution , 2005 .
[6] P.S. Steif,et al. Enhancing traditional classroom instruction with web-based Statics course , 2007, 2007 37th Annual Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports.
[7] Daniel J. Blankenberg,et al. A framework for collaborative analysis of ENCODE data: making large-scale analyses biologist-friendly. , 2007, Genome research.
[8] O. Gascuel,et al. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. , 2010, Systematic biology.
[9] A. Nekrutenko,et al. Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.
[10] Greg Wilson,et al. Software Carpentry: lessons learned , 2013, F1000Research.
[11] John Chilton,et al. Enhancing pre-defined workflows with ad hoc analytics using Galaxy, Docker and Jupyter , 2016, bioRxiv.
[12] Erik Schultes,et al. The FAIR Guiding Principles for scientific data management and stewardship , 2016, Scientific Data.
[13] John Chilton,et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update , 2016, Nucleic Acids Res..
[14] Brett K. Beaulieu-Jones,et al. Reproducibility of computational workflows is automated using continuous analysis , 2017, Nature Biotechnology.
[15] Vanessa Sochat,et al. Singularity: Scientific containers for mobility of compute , 2017, PloS one.
[16] Renan Valieris,et al. Bioconda: sustainable and comprehensive software distribution for the life sciences , 2018, Nature Methods.
[17] Marius van den Beek,et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update , 2018, Nucleic Acids Res..
[18] Daniel Blankenberg,et al. Software engineering for scientific big data analysis , 2019, GigaScience.