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seq2pathway

This is a read-only mirror of the git repos at https://bioconductor.org

https://github.com/bioc/seq2pathway

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

This is a read-only mirror of the git repos at https://bioconductor.org

Basic Info
  • Host: GitHub
  • Owner: bioc
  • Language: R
  • Default Branch: devel
  • Size: 8.37 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Citation

README.md

seq2pathway

Seq2pathway can be used to seach for enriched functional pre-defined gene-sets (at pathway level), using variable next-generation sequencing data (rather than gene lists). Integral to this tool are the 'seq2gene' and 'gene2pathway' components in series that infer a quantitative pathway profiles for each sample.

Owner

  • Name: bioc
  • Login: bioc
  • Kind: organization

Citation (CITATION) 

citEntry(entry="Article",
  author ="Wang B, Cunningham JM, Yang XH",
title ="Seq2pathway: an R/Bioconductor package for pathway analysis of next-generation sequencing data",
  journal =      "Bioinformatics",
  volume =       " ",
  year =         "2015", 
  pages =        "3043-5",
  url =          "http://bioinformatics.oxfordjournals.org/content/early/2015/05/27/bioinformatics.btv289.full",
  textVersion = paste(
 "Seq2pathway: an R/Bioconductor package for pathway analysis of next-generation ",
 "sequencing data", "Wang B, Cunningham JM, Yang XH",
  "2015, Bioinformatics. Sep; 31(18):3043-5")
)

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