Memorias de investigación
Artículos en revistas:
Reconstructing evolutionary trees in parallel for massive sequences
Año:2017

Áreas de investigación
  • Bioinformática

Datos
Descripción
Building the evolutionary trees for massive unaligned DNA sequences is challenging and crucial. However, reconstructing evolutionary tree for ultra-large sequences is hard. Massive multiple sequence alignment is also challenging and time/space consuming. Hadoop and Spark are developed recently, which bring spring light for the classical computational biology problems. In this paper, we tried to solve the multiple sequence alignment and evolutionary reconstruction in parallel. HPTree, which is developed in this paper, can deal with big DNA sequence files quickly. It works well on the> 1GB files, and gets better performance than other evolutionary reconstruction tools. Users could use HPTree for reonstructing evolutioanry trees on the computer clusters or cloud platform (eg. Amazon Cloud). HPTree could help on population evolution research and metagenomics analysis....
Internacional
Si
JCR del ISI
Si
Título de la revista
Bmc Systems Biology
ISSN
1752-0509
Factor de impacto JCR
2,303
Información de impacto
Volumen
DOI
Número de revista
Desde la página
15
Hasta la página
88
Mes
SIN MES
Ranking

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Quan Zou
  • Autor: Shixian Wan
  • Autor: Zhansham Sam Ma
  • 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