RSeQC package provides many useful python modules to QC, analyze and visualize RNA-seq data.
Reference: Wang L, Wang S, Li W. RSeQC: quality control of RNA-seq experiments. Bioinformatics. 2012 Aug 15;28(16):2184-5. doi: 10.1093/bioinformatics/bts356. Epub 2012 Jun 27. PMID: 22743226.
CPAT (Coding-Potential Assessment Tool) trained a logistic regression model from pure sequence features to distinguish noncoding RNAs from protein coding mRNAs.
CrossMap is a program to liftover genome coordinates between different genome assemblies. It supports multiple file formats including BED, BAM/SAM/CRAM, VCF, Wiggle/BigWig, etc.
MACE (Model-based Analysis of ChIP-Exo) is a program dedicated to analyse ChIP-exo data.
Reference: Wang L, Chen J, Wang C, Uusküla-Reimand L, Chen K, Medina-Rivera A, Young EJ, Zimmermann MT, Yan H, Sun Z, Zhang Y, Wu ST, Huang H, Wilson MD, Kocher JP, Li W. MACE: model based analysis of ChIP-exo. Nucleic Acids Res. 2014 Nov 10;42(20):e156. doi: 10.1093/nar/gku846. Epub 2014 Sep 23. PMID: 25249628; PMCID: PMC4227761.
CircularLogo is an innovative web application that specifically designed to visualize and explore intra-motif dependencies. It is able to display intra-motif dependencies and reveal biomolecular structure effectively.
TIN (Transcript Integrity Number) is an algorithm to measure RNA degradation at transcript level. It can improve differential gene expression analyses by reducing false positives and false negatives.
Reference: Wang L, Nie J, Sicotte H, Li Y, Eckel-Passow JE, Dasari S, Vedell PT, Barman P, Wang L, Weinshiboum R, Jen J, Huang H, Kohli M, Kocher JP. Measure transcript integrity using RNA-seq data. BMC Bioinformatics. 2016 Feb 3;17:58. doi: 10.1186/s12859-016-0922-z. PMID: 26842848; PMCID: PMC4739097.
CpGtools is a Python package to perform DNA methylation analysis.
Reference: Wei T, Nie J, Larson NB, Ye Z, Eckel-Passow JE, Robertson KD, Kocher JA, Wang L. CpGtools: a python package for DNA methylation analysis. Bioinformatics. 2021 Jul 12;37(11):1598-1599. doi: 10.1093/bioinformatics/btz916. PMID: 31808791; PMCID: PMC8275978.
Cobind is designed for quantitative analysis of the genomic overlaps.
Reference: Ma T, Guo L, Yan H, and Wang L. Cobind: quantitative analysis of the genomic overlaps, Bioinformatics Advances, 2023;, vbad104, https://doi.org/10.1093/bioadv/vbad104