henhaobio
Sign in

Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article

EpiAlignment: alignment with both DNA sequence and epigenomic data

Jia LuiD, Xiaoyi CaoiD, Sheng ZhongiD

PDFDOIPreprint

Abstract

Comparative epigenomics, by subjecting both epigenome and genome to interspecies comparison, has become a powerful approach to reveal regulatory features of the genome. Thus elucidated regulatory features surpassed the information derived from comparison of genomic sequences alone. Here, we present EpiAlignment, a web-based tool to align genomic regions with both DNA sequence and epigenomic data. EpiAlignment takes DNA sequence and epigenomic profiles derived by ChIP-seq, DNase-seq, or ATAC-seq from two species as input data, and outputs the best semi-global alignments. These alignments are based on EpiAlignment scores, computed by a dynamic programming algorithm that accounts for both sequence alignment and epigenome similarity. For timely response, the EpiAlignment web server automatically initiates up to 140 computing threads depending on the size of user input data. For users convenience, we have pre-compiled the comparable human and mouse epigenome datasets in matched cell types and tissues from the Roadmap Epigenomics and ENCODE consortia. Users can either upload their own data or select pre-compiled datasets as inputs for EpiAlignment analyses. Results are presented in graphical and tabular formats where the entries can be interactively expanded to visualize additional features of these aligned regions. EpiAlignment is available at https://epialign.ucsd.edu/.

Citations
6
FWCI
0.17
Field percentile
44th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGe '19Zhuo '23Choi '23Lu '18Manz '26Lougheed '24
80% semantic matchBioinformatics
Xinzhou Ge, Haowen Zhang, Lingjue Xie+3 more·Nucleic Acids Research·Apr 11, 2019· 7 citations