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Fast bootstrapping-based estimation of confidence intervals of expression levels and differential expression from RNA-Seq data.
Mandric, Igor; Temate-Tiagueu, Yvette; Shcheglova, Tatiana; Al Seesi, Sahar; Zelikovsky, Alex; Mandoiu, Ion I.
Afiliação
  • Mandric I; Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
  • Temate-Tiagueu Y; Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
  • Shcheglova T; Immunology Department, University of Connecticut Health Center, Farmington, CT 06030, USA.
  • Al Seesi S; Immunology Department, University of Connecticut Health Center, Farmington, CT 06030, USA.
  • Zelikovsky A; Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269, USA.
  • Mandoiu II; Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA.
Bioinformatics ; 33(20): 3302-3304, 2017 Oct 15.
Article em En | MEDLINE | ID: mdl-28605502
ABSTRACT

SUMMARY:

This note presents IsoEM2 and IsoDE2, new versions with enhanced features and faster runtime of the IsoEM and IsoDE packages for expression level estimation and differential expression. IsoEM2 estimates fragments per kilobase million (FPKM) and transcript per million (TPM) levels for genes and isoforms with confidence intervals through bootstrapping, while IsoDE2 performs differential expression analysis using the bootstrap samples generated by IsoEM2. Both tools are available with a command line interface as well as a graphical user interface (GUI) through wrappers for the Galaxy platform. AVAILABILITY AND IMPLEMENTATION The source code of this software suite is available at https//github.com/mandricigor/isoem2. The Galaxy wrappers are available at https//toolshed.g2.bx.psu.edu/view/saharlcc/isoem2_isode2/. CONTACT imandric1@student.gsu.edu or ion@engr.uconn.edu. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Intervalos de Confiança / Análise de Sequência de RNA / Biologia Computacional / Perfilação da Expressão Gênica Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Intervalos de Confiança / Análise de Sequência de RNA / Biologia Computacional / Perfilação da Expressão Gênica Idioma: En Ano de publicação: 2017 Tipo de documento: Article