Detailed Information on Publication Record
2023
Alternatives to classical HiC data analysis
LEXA, Matej and Hedvig HEGYIBasic information
Original name
Alternatives to classical HiC data analysis
Authors
LEXA, Matej and Hedvig HEGYI
Edition
Bratislava, Workshop on Bioinformatics and Computational Biology (WBCB 2023), p. 14-14, 1 pp. 2023
Publisher
Knižniˇcné a ediˇcné centrum, Fakulta matematiky, fyziky a informatiky, Univerzita Komenského
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Slovakia
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
Organization unit
Faculty of Informatics
ISBN
978-80-8147-132-2
Keywords in English
HiC analysis
Tags
International impact, Reviewed
Změněno: 12/9/2024 12:33, doc. Ing. Matej Lexa, Ph.D.
Abstract
V originále
HiC is a variant of DNA library preparation and sequencing that can provide information about 3D arrangement patterns in chromatin. A typical HiC experiment involves cross-linking chromatin in vivo, fragmenting it in vitro, ligating the fragments in a proximity-dependent manner. Finally a library for paired-end sequencing is created and sequenced by short read sequencing technology [3]. The typical HiC data analysis today is to preprocess HiC sequencing reads, map them to the closest reference genome, and bin mapped pairs by genomic location to obtain a contact matrix that can be visualized. Reliable tools and pipelines exist to carry out such analyses.
Links
GA21-00580S, research and development project |
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