Cargando…
Diel gene expression improves software prediction of cyanobacterial operons
Cyanobacteria are important participants in global biogeochemical process, but their metabolic processes and genomic functions are incompletely understood. In particular, operon structure, which can provide valuable metabolic and genomic insight, is difficult to determine experimentally, and algorit...
Autor principal: | Heller, Philip |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009326/ https://www.ncbi.nlm.nih.gov/pubmed/35433132 http://dx.doi.org/10.7717/peerj.13259 |
Ejemplares similares
-
Improving bioinformatics software quality through incorporation of software engineering practices
por: Noor, Adeeb
Publicado: (2022) -
IOCBIO Sparks detection and analysis software
por: Laasmaa, Martin, et al.
Publicado: (2019) -
Splicing Express: a software suite for alternative splicing analysis using next-generation sequencing data
por: Kroll, Jose E., et al.
Publicado: (2015) -
PrismEXP: gene annotation prediction from stratified gene-gene co-expression matrices
por: Lachmann, Alexander, et al.
Publicado: (2023) -
Gene Ontology Capsule GAN: an improved architecture for protein function prediction
por: Mansoor, Musadaq, et al.
Publicado: (2022)