Media type: E-Article; Text Title: GABAC : An arithmetic coding solution for genomic data Contributor: Voges, Jan [Author]; Paridaens, Tom [Author]; Müntefering, Fabian [Author]; Mainzer, Liudmila S. [Author]; Bliss, Brian [Author]; Yang, Mingyu [Author]; Ochoa, Idoia [Author]; Fostier, Jan [Author]; Ostermann, Jörn [Author]; Hernaez, Mikel [Author] imprint: Oxford : Oxford Univ. Press, 2020 Published in: Bioinformatics 36 (2020), Nr. 7 Issue: published Version Language: English DOI: https://doi.org/10.15488/10852; https://doi.org/10.1093/bioinformatics/btz922 ISSN: 0266-7061; 1367-4803 Keywords: genomic data ; International Organization for Standardization (ISO) ; Moving Picture Experts Group (MPEG) ; MPEG-G compliant entropy codec ; coding ; GABAC Origination: Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen. Description: Motivation: In an effort to provide a response to the ever-expanding generation of genomic data, the International Organization for Standardization (ISO) is designing a new solution for the representation, compression and management of genomic sequencing data: the Moving Picture Experts Group (MPEG)-G standard. This paper discusses the first implementation of an MPEG-G compliant entropy codec: GABAC. GABAC combines proven coding technologies, such as context-adaptive binary arithmetic coding, binarization schemes and transformations, into a straightforward solution for the compression of sequencing data. Results: We demonstrate that GABAC outperforms well-established (entropy) codecs in a significant set of cases and thus can serve as an extension for existing genomic compression solutions, such as CRAM. © 2019 The Author(s). Published by Oxford University Press. Access State: Open Access Rights information: Attribution - Non Commercial (CC BY-NC)