Hu:Software

Laboratory of Genomic Data Science and Epigenome Biology

Department of Microbiology, Immunology, and Cell Biology
School of Medicine
West Virginia University

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• iHiC (Methods in Molecular Biology, 2020): A set of C++ utilities for data pre/post-procession to faciliate Hi-C data analysis.

• Trac-looping differential loops (Nature Methods, 2018): A tool to call differential chromatin loops for Trac-looping data and Hi-ChIP data.

• Hi-C chromatin loops by simulation (Nature Immunology, 2017): A computational procedure to call chromatin loops from Hi-C data through simulation.

• MetaGun (BMC Bioinformatics, 2013): Gene prediction in metagenomic fragments based on the SVM algorithm.

• MetaTISA (Bioinformatics, 2009): Metagenomic Translation Initiation Site Annotator for improving gene start prediction.

• TriTISA (Bioinformatics, 2009): Prediction of translation initiation site for microbial genomes with TriTISA.

• ProTISA (NAR, 2008): A database for translation initiation site annotation in prokaryotic genomes.

• Fitting circles : this is a set of matlab code assisted by ChatGPT to fit multiple circles. This demo.m expects to generate a figure similar to Figure S2C in Empowering Beginners in Bioinformatics with ChatGPT. 1. Unzip zip file to the current working directory of Matlab; 2. Directly run >demo.m. Contributed by Dr. Xin Li from Lane Department of CSEE, WVU.