Detalle de: SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark
| Title | SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark |
| Abstract |
Long-read RNA sequencing has emerged as a powerful tool for transcript discovery, even in well-annotated organisms. However, assessing the accuracy of different methods in identifying annotated and novel transcripts remains a challenge. Here, we present SQANTI-SIM, a versatile tool that wraps around popular long-read simulators to allow precise management of transcript novelty based on the structural categories defined by SQANTI3. By selectively excluding specific transcripts from the reference dataset, SQANTI-SIM effectively emulates scenarios involving unannotated transcripts. Furthermore, the tool provides customizable features and supports the simulation of additional types of data, representing the first multi-omics simulation tool for the lrRNA-seq field. |
| Apa Reference | Mestre-Tomás, J., Liu, T., Pardo-Palacios, F. & Conesa, A. (2023). SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark. Genome Biology, 24(1). 10.1186/s13059-023-03127-0 |
| Doi | 10.1186/s13059-023-03127-0 |
| Publication Date | 11 Dec 2023 |
| Publication Type | Software |
| Researcher | Ana Conesa |
| Ontology | Omics, RNA Sequencing (RNA-seq), Benchmarking, Genome Assembly, Computational models and simulations, Long-read sequencing |
| Research Groups | |
| Tools | SQANTI-SIM |
