Benchmarking of long-read transcriptomics methods
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 projec...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/450290 |
| Acceso en línea: | https://hdl.handle.net/2117/450290 |
| Access Level: | acceso abierto |
| Palabra clave: | High performance computing Càlcul intensiu (Informàtica) Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
| Sumario: | 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. |
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