dc.contributor.author
Annaldasula, Siddharth
dc.contributor.author
Gajos, Martyna
dc.contributor.author
Mayer, Andreas
dc.date.accessioned
2022-01-06T11:51:04Z
dc.date.available
2022-01-06T11:51:04Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/33353
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-33074
dc.description.abstract
Despite the continuous discovery of new transcript isoforms, fueled by the recent increase in accessibility and accuracy of long-read RNA sequencing data, functional differences between isoforms originating from the same gene often remain obscure. To address this issue and enable researchers to assess potential functional consequences of transcript isoform variation on the proteome, we developed IsoTV. IsoTV is a versatile pipeline to process, predict and visualize the functional features of translated transcript isoforms. Attributes such as gene and isoform expression, transcript composition and functional features are summarized in an easy-to-interpret visualization. IsoTV is able to analyze a variety of data types from all eukaryotic organisms, including short- and long-read RNA-seq data. Using Oxford Nanopore long read data, we demonstrate that IsoTV facilitates the understanding of potential protein isoform function in different cancer cell types.
en
dc.format.extent
3 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
translated transcript isoforms
en
dc.subject
visualization
en
dc.subject
functional features
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
IsoTV: processing and visualizing functional features of translated transcript isoforms
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1093/bioinformatics/btab103
dcterms.bibliographicCitation.journaltitle
Bioinformatics
dcterms.bibliographicCitation.number
18
dcterms.bibliographicCitation.pagestart
3070
dcterms.bibliographicCitation.pageend
3072
dcterms.bibliographicCitation.volume
37
dcterms.bibliographicCitation.url
https://doi.org/10.1093/bioinformatics/btab103
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Informatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1460-2059
refubium.resourceType.provider
WoS-Alert