A hybrid and scalable error correction algorithm for indel and substitution errors of long reads
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2164
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
A hybrid and scalable error correction algorithm for indel and substitution errors of long reads ; volume:20 ; number:11 ; day:20 ; month:12 ; year:2019 ; pages:1-15 ; date:12.2019
BMC genomics ; 20, Heft 11 (20.12.2019), 1-15, 12.2019
- Creator
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Das, Arghya Kusum
Goswami, Sayan
Lee, Kisung
Park, Seung-Jong
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12864-019-6286-9
- URN
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urn:nbn:de:101:1-2020040803242790317485
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Das, Arghya Kusum
- Goswami, Sayan
- Lee, Kisung
- Park, Seung-Jong
- SpringerLink (Online service)
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Repeat-aware modeling and correction of short read errors
Static detection of software errors : precise and scalable algorithms for automatic detection of software errors
Hybrid-hybrid correction of errors in long reads with HERO
Tigmint: correcting assembly errors using linked reads from large molecules
VeChat: correcting errors in long reads using variation graphs
Accurate indel prediction using paired-end short reads
Errors in scalable quantum Computers
Reducing INDEL calling errors in whole genome and exome sequencing data
Indel'sches Stipendium
Indel'sches Stipendium
Indel detection from DNA and RNA sequencing data with transIndel
5. Die Indel Idschwi
Repeat-aware modeling and correction of short read errors
Static detection of software errors : precise and scalable algorithms for automatic detection of software errors
Hybrid-hybrid correction of errors in long reads with HERO
Tigmint: correcting assembly errors using linked reads from large molecules