Cargando…
Popularity and performance of bioinformatics software: the case of gene set analysis
BACKGROUND: Gene Set Analysis (GSA) is arguably the method of choice for the functional interpretation of omics results. The following paper explores the popularity and the performance of all the GSA methodologies and software published during the 20 years since its inception. "Popularity"...
Autores principales: | Xie, Chengshu, Jauhari, Shaurya, Mora, Antonio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050894/ https://www.ncbi.nlm.nih.gov/pubmed/33858350 http://dx.doi.org/10.1186/s12859-021-04124-5 |
Ejemplares similares
-
GSA Central—A web platform to perform, learn, and discuss gene set analysis
por: Huang, Xiaowei, et al.
Publicado: (2022) -
Chromatin Hubs: A biological and computational outlook
por: Mora, Antonio, et al.
Publicado: (2022) -
Engineering bioinformatics: building reliability, performance and productivity into bioinformatics software
por: Lawlor, Brendan, et al.
Publicado: (2015) -
Gene-gene interaction network analysis of hepatocellular carcinoma using bioinformatic software
por: He, Jin-Hua, et al.
Publicado: (2018) -
Histone Demethylase Modulation: Epigenetic Strategy to Combat Cancer Progression
por: Srivastava, Rashmi, et al.
Publicado: (2023)