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ACES: Analysis of Conservation with an Extensive list of Species.
Padhi, Evin M; Ng, Jeffrey K; Mehinovic, Elvisa; Sams, Eleanor I; Turner, Tychele N.
Afiliação
  • Padhi EM; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ng JK; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Mehinovic E; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Sams EI; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Turner TN; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Bioinformatics ; 37(21): 3920-3922, 2021 11 05.
Article em En | MEDLINE | ID: mdl-34601580
ABSTRACT
MOTIVATION An abundance of new reference genomes is becoming available through large-scale sequencing efforts. While the reference FASTA for each genome is available, there is currently no automated mechanism to query a specific sequence across all new reference genomes.

RESULTS:

We developed ACES (Analysis of Conservation with an Extensive list of Species) as a computational workflow to query specific sequences of interest (e.g. enhancers, promoters, exons) against reference genomes with an available reference FASTA. This automated workflow generates BLAST hits against each of the reference genomes, a multiple sequence alignment file, a graphical fragment assembly file and a phylogenetic tree file. These data files can then be used by the researcher in several ways to provide key insights into conservation of the query sequence. AVAILABILITY AND IMPLEMENTATION ACES is available at https//github.com/TNTurnerLab/ACES. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Genoma Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos