Cargando…
BioSeqZip: a collapser of NGS redundant reads for the optimization of sequence analysis
MOTIVATION: High-throughput next-generation sequencing can generate huge sequence files, whose analysis requires alignment algorithms that are typically very demanding in terms of memory and computational resources. This is a significant issue, especially for machines with limited hardware capabilit...
Autores principales: | Urgese, Gianvito, Parisi, Emanuele, Scicolone, Orazio, Di Cataldo, Santa, Ficarra, Elisa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203750/ https://www.ncbi.nlm.nih.gov/pubmed/31999333 http://dx.doi.org/10.1093/bioinformatics/btaa051 |
Ejemplares similares
-
Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions
por: Roberti, Ilaria, et al.
Publicado: (2019) -
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
por: Lovino, Marta, et al.
Publicado: (2019) -
DEEPrior: a deep learning tool for the prioritization of gene fusions
por: Lovino, Marta, et al.
Publicado: (2020) -
isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation
por: Urgese, Gianvito, et al.
Publicado: (2016) -
LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences
por: Winkler, Jörg, et al.
Publicado: (2022)