dc.contributor.author
Reinert, Knut
dc.contributor.author
Langmead, Ben
dc.contributor.author
Weese, David
dc.contributor.author
Evers, Dirk J.
dc.date.accessioned
2025-09-01T09:49:37Z
dc.date.available
2025-09-01T09:49:37Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/49019
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-48742
dc.description.abstract
High-throughput DNA sequencing has considerably changed the possibilities for conducting biomedical research by measuring billions of short DNA or RNA fragments. A central computational problem, and for many applications a first step, consists of determining where the fragments came from in the original genome. In this article, we review the main techniques for generating the fragments, the main applications, and the main algorithmic ideas for computing a solution to the read alignment problem. In addition, we describe pitfalls and difficulties connected to determining the correct positions of reads.
en
dc.format.extent
19 Seiten
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
high-throughput sequencing
en
dc.subject
read mapping
en
dc.subject
string indices
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Alignment of Next-Generation Sequencing Reads
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1146/annurev-genom-090413-025358
dcterms.bibliographicCitation.journaltitle
Annual Review of Genomics and Human Genetics
dcterms.bibliographicCitation.pagestart
133
dcterms.bibliographicCitation.pageend
151
dcterms.bibliographicCitation.volume
16
dcterms.bibliographicCitation.url
https://doi.org/10.1146/annurev-genom-090413-025358
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Informatik

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1545-293X
refubium.resourceType.provider
WoS-Alert