Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop
Año:2016
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Constructing phylogenetic tree for ultra-large sequences (eg. Files more than 1GB) is quite difficult, especially for the unaligned DNA sequences. It is meaningless and impracticable to do multiple sequence alignment for large diverse DNA sequences. We try to do clustering firstly for the mounts of DNA sequences, and divide them into several clusters. Then each cluster is aligned and phylogenetic analysed in parallel. Hadoop, which is the most popular parallel platform in cloud computing, is employed for this process. Our software tool HPTree can handle the >1GB DNA sequence file or more than 1,000,000 DNA sequences in few hours. Users could try HPTree in the cloud computing platform (eg. Amazon) or their own clusters for the big data phylogenetic tree reconstruction. No super machine or large memory is required. HPTree could benefit the users who focus on population evolution or long common genes (eg. 16s rRNA) evolution.
Internacional
Si
Nombre congreso
International Conference on Bioinformatics and Biomedicine
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-1-5090-1611-2
DOI
Fecha inicio congreso
15/12/2016
Fecha fin congreso
18/12/2016
Desde la página
53
Hasta la página
58
Título de las actas
HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Quan Zou
  • Autor: Shixiang Wan
  • 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)
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