xyang2uchicago/seq2pathway19: a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data

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.

Getting started

Package details

AuthorXinan Yang <xyang2@uchicago.edu>; Bin Wang <binw@uchicago.edu>
Bioconductor views Software
MaintainerArjun Kinstlick <akinstlick@uchicago.edu>
LicenseGPL-2
Version1.25.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("xyang2uchicago/seq2pathway19")
xyang2uchicago/seq2pathway19 documentation built on June 10, 2021, 7:34 p.m.