SEM: Size-Based Expectation Maximization for Characterizing Nucleosome Positions and Subtypes

Jianyu Yang, Kuangyu Yen, Shaun Mahony

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nucleosome landscapes across the genome are typically characterized using micrococcal nuclease sequencing (MNase-seq). MNase is an endo-exonuclease that preferentially digests accessible DNA between nucleosomes.

Original languageEnglish (US)
Title of host publicationResearch in Computational Molecular Biology - 28th Annual International Conference, RECOMB 2024, Proceedings
EditorsJian Ma
PublisherSpringer Science and Business Media Deutschland GmbH
Pages320-323
Number of pages4
ISBN (Print)9781071639887
DOIs
StatePublished - 2024
Event28th International Conference on Research in Computational Molecular Biology, RECOMB 2024 - Cambridge, United States
Duration: Apr 29 2024May 2 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14758 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th International Conference on Research in Computational Molecular Biology, RECOMB 2024
Country/TerritoryUnited States
CityCambridge
Period4/29/245/2/24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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