Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Sequence clustering in bioinformatics: an empirical study
Año:2018
Áreas de investigación
  • Bioinformática
Datos
Descripción
Sequence clustering is a basic bioinformatics task that is attracting renewed attention with the development of metagenomics and microbiomics. The latest sequencing techniques have decreased costs and as a result, massive amounts of DNA/RNA sequences are being produced. The challenge is to cluster the sequence data using stable, quick and accurate methods. For microbiome sequencing data, 16S ribosomal RNA operational taxonomic units are typically used. However, there is often a gap between algorithm developers and bioinformatics users. Different software tools can produce diverse results and users can find them difficult to analyze. Understanding the different clustering mechanisms is crucial to understanding the results that they produce. In this review, we selected several popular clustering tools, briefly explained the key computing principles, analyzed their characters and compared them ?
Internacional
Si
JCR del ISI
Si
Título de la revista
Briefings in Bioinformatics
ISSN
1467-5463
Factor de impacto JCR
6,302
Información de impacto
Volumen
DOI
Número de revista
Desde la página
1
Hasta la página
10
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Quan Zou
  • Autor: Gang Lin
  • Autor: Xingpeng Jiang
  • Autor: Xiangrong Liu
  • Autor: Xiangxiang Zeng . (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Inteligencia Artificial (LIA)
  • Departamento: Inteligencia Artificial
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