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MGEScan: a Galaxy-based system for identifying retrotransposons in genomes.
Lee, Hyungro; Lee, Minsu; Mohammed Ismail, Wazim; Rho, Mina; Fox, Geoffrey C; Oh, Sangyoon; Tang, Haixu.
Afiliação
  • Lee H; School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
  • Lee M; Department of Computer Science and Engineering, Ewha Womans University, Seoul, Korea.
  • Mohammed Ismail W; School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
  • Rho M; Department of Computer Science and Engineering, Hanyang University, Seoul, Korea.
  • Fox GC; School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
  • Oh S; Department of Software Convergence Technology, Ajou University, Suwon, Korea.
  • Tang H; School of Informatics and Computing, Indiana University, Bloomington, IN, USA.
Bioinformatics ; 32(16): 2502-4, 2016 08 15.
Article em En | MEDLINE | ID: mdl-27153595
UNLABELLED: : MGEScan-long terminal repeat (LTR) and MGEScan-non-LTR are successfully used programs for identifying LTRs and non-LTR retrotransposons in eukaryotic genome sequences. However, these programs are not supported by easy-to-use interfaces nor well suited for data visualization in general data formats. Here, we present MGEScan, a user-friendly system that combines these two programs with a Galaxy workflow system accelerated with MPI and Python threading on compute clusters. MGEScan and Galaxy empower researchers to identify transposable elements in a graphical user interface with ready-to-use workflows. MGEScan also visualizes the custom annotation tracks for mobile genetic elements in public genome browsers. A maximum speed-up of 3.26× is attained for execution time using concurrent processing and MPI on four virtual cores. MGEScan provides four operational modes: as a command line tool, as a Galaxy Toolshed, on a Galaxy-based web server, and on a virtual cluster on the Amazon cloud. AVAILABILITY AND IMPLEMENTATION: MGEScan tutorials and source code are available at http://mgescan.readthedocs.org/ CONTACT: hatang@indiana.edu or syoh@ajou.ac.kr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Linguagens de Programação / Retroelementos Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Linguagens de Programação / Retroelementos Idioma: En Ano de publicação: 2016 Tipo de documento: Article