MeTPeak statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool MeTPeak
info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Peak calling chevron_right
Want to access the full stats & trends on this tool?

MeTPeak specifications

Information


Unique identifier OMICS_13800
Name MeTPeak
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.1
Stability Stable
Requirements
R, Devtools, Rsamtools, GenomicFeatures, rtracklayer, GenomicAlignments, Rcpp, RcppArmadillo, BH
Maintained Yes

Download


download.png

Versioning


No version available

Maintainer


  • person_outline Yufei Huang

Publication for MeTPeak

MeTPeak citation

library_books

m6AVar: a database of functional variants involved in m6A modification

2017
Nucleic Acids Res
PMCID: 5753261
PMID: 29036329
DOI: 10.1093/nar/gkx895

[…] iguous alignment. All qualified reads were mapped to reference genomes (GRCh37 for human and GRCm38 for mouse) by Tophat (v2.1.1) using default parameters (). We applied three peak callers (MACS2 (), MeTPeak () and Meyer's method ()) to identify the m6A peaks separately. MSPC () was then applied to construct consensus peaks from the three methods (, ). We then predicted single-nucleotide resolutio […]


Want to access the full list of citations?
MeTPeak institution(s)
Department of Electrical and Computer Engineering, University of Texas at San Antonio, TX, USA; Department of Biological Science, XI'an Jiaotong-Liverpool University, Suzhou, China; College of Automation, Northwestern Polytechnical University, XI'an, China; Greehey Children’s Cancer Research Institute; Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, TX, USA
MeTPeak funding source(s)
This work was supported by the National Institutes of Health (grants n°NCIP30CA54174, 5 U54 CA113001 and R01GM113245), the National Science Foundation (grant n°CCF-1246073), the William and Ella Medical Research Foundation grant, the Thrive Well Foundation, the Max and Minnie Tomerlin Voelcker Fund and the Natural Science Foundation of China (grant n°61473232).

MeTPeak reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MeTPeak