Campaign: Analysis Priorities

Store results in the cloud with workflow available for reuse

Store results in the cloud (e.g. variant file) with methodologies documented and workflow available in a workflow management system so the analyses can be reproduced with other data

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37 votes
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Campaign: Analysis Priorities

Track data provenance & analysis methods

Track data provenance and analysis methods at a level that that supports reproducible research

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35 votes
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Campaign: Analysis Priorities

Construct analysis pipelines for reuse & sharing

Construct analysis pipelines that may be reused and shared with other investigators

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27 votes
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Campaign: Analysis Priorities

Support multiple workflow tools and data access mechanisms

Galaxy and GenePattern are examples of systems that could provide access to data sets, pipelines, and publishable, shareable, and reproducible workflows. Ideally, existing familiar and popular platforms such as these would be supported. In addition to improving or enabling interactions between these tools, effort should be directed towards facilitating programmatic access to the underlying data in order to support custom ...more »

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12 votes
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Campaign: Analysis Priorities

Link genomic analysis results with “external” annotations

Link genomic analysis results with “external” data such as molecular interaction networks, drug-target associations, or semantic associations extracted from the literature

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12 votes
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Campaign: Analysis Priorities

Track data permissions, including consent

Track data provenance and permissions, including IRB approvals and patient consent and be able to support different levels of permissions rather than insisting on uniform consent

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8 votes
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Campaign: Analysis Priorities

Correlate genomic expression with patient survival

Investigate the correlation between expression level and mutation profile of a gene list of interest with patient survival.

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12 votes
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Campaign: Analysis Priorities

Normal vs. tumor exomic sequence analysis

Analyze exomic sequence of paired tumor and normal samples, including variant calls

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10 votes
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Campaign: Analysis Priorities

Actively support crowd-sourcing challenges

To stimulate learning as much as possible, as quickly as possible, the data cloud could have a utility where interested parties could pose "crowd-sourcing" challenges, e,g, Kaggle. Indeed, Harold Varmus, NCI & leaders in cancer & genomics could pose the leading questions they would like bright people to take a run at answering, e.g. Hilbert's 23 problems

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7 votes
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