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Showing 1–4 of 4 results

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The anatomy of successful computational biology software

Creators of software widely used in computational biology discuss the factors that contributed to their success

Stephen Altschul
Barry Demchak
Cole Trapnell
Special Features08 Oct 2013
Nature Biotechnology

Volume: 31, P: 894-897
Erratum: The anatomy of successful computational biology software

Stephen Altschul
Barry Demchak
Cole Trapnell
Amendments and Corrections09 Jun 2014
Nature Biotechnology

Volume: 32, P: 592
Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace

GenomeSpace is an open-source, cloud-based interoperability platform that facilitates integrative genomic analyses, allowing users to transition seamlessly between a diverse and growing set of bioinformatics tools and data resources.

Kun Qu
Sara Garamszegi
Jill P Mesirov
Research18 Jan 2016
Nature Methods

Volume: 13, P: 245-247
Using deep learning to model the hierarchical structure and function of a cell

Embedding a deep-learning model in the known structure of cellular systems yields DCell, a ‘visible’ neural network that can be used to mechanistically interpret genotype–phenotype relationships.

Jianzhu Ma
Michael Ku Yu
Trey Ideker
Research05 Mar 2018
Nature Methods

Volume: 15, P: 290-298