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TACITuS: transcriptomic data collector, integrator, and selector on big data platform.
Alaimo, Salvatore; Di Maria, Antonio; Shasha, Dennis; Ferro, Alfredo; Pulvirenti, Alfredo.
Afiliação
  • Alaimo S; Department of Clinical and Experimental Medicine, University of Catania, c/o Dipartimento di Matematica e Informatica, Viale A. Doria 6, Catania, 95125, Italy. alaimos@dmi.unict.it.
  • Di Maria A; Department of Clinical and Experimental Medicine, University of Catania, c/o Dipartimento di Matematica e Informatica, Viale A. Doria 6, Catania, 95125, Italy.
  • Shasha D; Department of Physics and Astronomy, University of Catania, Viale A. Doria 6, Catania, 95125, Italy.
  • Ferro A; Courant Institute of Mathematical Science, New York University, 251 Mercer St, New York, 10012, USA.
  • Pulvirenti A; Department of Clinical and Experimental Medicine, University of Catania, c/o Dipartimento di Matematica e Informatica, Viale A. Doria 6, Catania, 95125, Italy.
BMC Bioinformatics ; 20(Suppl 9): 366, 2019 Nov 22.
Article em En | MEDLINE | ID: mdl-31757212
ABSTRACT

BACKGROUND:

Several large public repositories of microarray datasets and RNA-seq data are available. Two prominent examples include ArrayExpress and NCBI GEO. Unfortunately, there is no easy way to import and manipulate data from such resources, because the data is stored in large files, requiring large bandwidth to download and special purpose data manipulation tools to extract subsets relevant for the specific analysis.

RESULTS:

TACITuS is a web-based system that supports rapid query access to high-throughput microarray and NGS repositories. The system is equipped with modules capable of managing large files, storing them in a cloud environment and extracting subsets of data in an easy and efficient way. The system also supports the ability to import data into Galaxy for further analysis.

CONCLUSIONS:

TACITuS automates most of the pre-processing needed to analyze high-throughput microarray and NGS data from large publicly-available repositories. The system implements several modules to manage large files in an easy and efficient way. Furthermore, it is capable deal with Galaxy environment allowing users to analyze data through a user-friendly interface.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Coleta de Dados / Transcriptoma / Big Data Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Coleta de Dados / Transcriptoma / Big Data Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article