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seq2pathway (version 1.4.0)

a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data

Description

Seq2pathway is a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data, consisting of "seq2gene" and "gene2path" components. The seq2gene links sequence-level measurements of genomic regions (including SNPs or point mutation coordinates) to gene-level scores, and the gene2pathway summarizes gene scores to pathway-scores for each sample. The seq2gene has the feasibility to assign both coding and non-exon regions to a broader range of neighboring genes than only the nearest one, thus facilitating the study of functional non-coding regions. The gene2pathway takes into account the quantity of significance for gene members within a pathway compared those outside a pathway. The output of seq2pathway is a general structure of quantitative pathway-level scores, thus allowing one to functional interpret such datasets as RNA-seq, ChIP-seq, GWAS, and derived from other next generational sequencing experiments.

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Version

Version

1.4.0

License

GPL-2

Maintainer

Xinan Yang with contribution from Lorenzo Pesce lpesceuchicagoedu

Last Published

February 15th, 2017

Functions in seq2pathway (1.4.0)

runseq2gene

R wrapped python function to map genomic regions on the sequence-level to genes.
gene2pathway_test

A wrapper function to perform gene2pathway test.
addDescription

Retrieve "gene description" attributes for gene symbol.
runseq2pathway

An function to perform the runseq2pathway algorithm(s).
FisherTest_GO_BP_MF_CC

A wrapper function to perform the Fisher's exact test, using GO-defined genesets.
FisherTest_MsigDB

A wrapper function to perform conditional Fisher's exact test, using custom-defined genesets.
dat_RNA

RNA sequence data example
GRanges_demo

loci information with GRanges format
Chipseq_Peak_demo

chip seq loci data example
dat_chip

chip seq data example