scholarly article | Q13442814 |
P50 | author | Jeremy Goecks | Q57068417 |
Anton Nekrutenko | Q30004030 | ||
James Taylor | Q30362443 | ||
Daniel Blankenberg | Q47451229 | ||
P2093 | author name string | Galaxy Team | |
P2860 | cites work | Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences | Q21092859 |
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 | Q24533326 | ||
New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0 | Q27860476 | ||
The FAIR Guiding Principles for scientific data management and stewardship | Q27942822 | ||
A framework for collaborative analysis of ENCODE data: making large-scale analyses biologist-friendly | Q28306159 | ||
Software Carpentry: lessons learned | Q28660402 | ||
Reproducibility of computational workflows is automated using continuous analysis | Q28950439 | ||
Singularity: Scientific containers for mobility of compute | Q33663778 | ||
A molecular approach to the study of genic heterozygosity in natural populations. I. The number of alleles at different loci in Drosophila pseudoobscura | Q33983387 | ||
Nucleotide polymorphism at the alcohol dehydrogenase locus of Drosophila melanogaster | Q34259360 | ||
The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update | Q34524689 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | Jupyter notebook file | Q70357595 |
P433 | issue | 6 | |
P304 | page(s) | 1372-1375 | |
P577 | publication date | 2018-06-01 | |
P1433 | published in | Molecular Biology and Evolution | Q1992656 |
P1476 | title | Biology Needs Evolutionary Software Tools: Let's Build Them Right | |
P478 | volume | 35 |
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