Benchmarking of long-read transcriptomics methods; results and insights from the LRGASP project

dc.contributor.author
Conesa, Ana
dc.date.accessioned
2026-01-14T02:09:40Z
dc.date.available
2026-01-14T02:09:40Z
dc.date.issued
2023-02-16
dc.identifier
Conesa, A. Benchmarking of long-read transcriptomics methods; results and insights from the LRGASP project. Severo Ochoa Research Seminars at BSC«. »«8th Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2022-23», 16 Febrer 2023, p. 56-58.
dc.identifier
https://hdl.handle.net/2117/450290
dc.identifier.uri
http://hdl.handle.net/2117/450290
dc.description.abstract
Long reads sequencing is the Method of the Year 2022 according to Nature Methods. Applied to transcriptome analysis Long reads allow the sequencing of full-length transcripts in one single read and facilities the study of transcript variants. However, the technology is still noisy. The LRGASP project is an initiative to assess the quality of long reads methods for transcript identification and quantification. A total of 36 datasets were analyzed by 11 bioinformatics tools. In this seminar I will present the results of the LRGASP Challenge 1 on transcript identification in the presence of a well annotated genome. Novel insights into transcriptome diversity will be discussed.
dc.format
3 p.
dc.format
application/pdf
dc.language
eng
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights
Open Access
dc.rights
Attribution-NonCommercial-ShareAlike 4.0 International
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
Benchmarking of long-read transcriptomics methods; results and insights from the LRGASP project
dc.type
Article


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