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Ten Simple Rules for Developing Usable Software in Computational Biology

Ten Simple Rules for Developing Usable Software in Computational Biology

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Helping to improve the practice of cheminformatics.IntaRNA 2.0: enhanced and customizable prediction of RNA-RNA interactions.Four simple recommendations to encourage best practices in research software.Methods for enhancing the reproducibility of biomedical research findings using electronic health records.Datamonkey 2.0: a modern web application for characterizing selective and other evolutionary processes.Porcupine: A visual pipeline tool for neuroimaging analysis.NFTsim: Theory and Simulation of Multiscale Neural Field Dynamics

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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JOURNAL.PCBI.1005265

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PLOS Computational Biology

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Ten Simple Rules for Developing Usable Software in Computational Biology

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Felipe Albrecht

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P2860

Scientific software development is not an oxymoron

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Snakemake--a scalable bioinformatics workflow engine.

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e1005265

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scholarly article

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10.1371/JOURNAL.PCBI.1005265

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Ten Simple Rules

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2017-01-05T00:00:00Z

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computational biology

software development

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