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PlanExp: intuitive integration of complex RNA-seq datasets with planarian omics resources.
Castillo-Lara, S; Pascual-Carreras, E; Abril, J F.
Afiliação
  • Castillo-Lara S; Computational Genomics Laboratory, Genetics, Microbiology and Statistics Department, Universitat de Barcelona, Catalonia, Spain.
  • Pascual-Carreras E; Institut de Biomedicina de la Universitat de Barcelona (IBUB); Universitat de Barcelona, Catalonia, Spain.
  • Abril JF; Computational Genomics Laboratory, Genetics, Microbiology and Statistics Department, Universitat de Barcelona, Catalonia, Spain.
Bioinformatics ; 36(6): 1889-1895, 2020 03 01.
Article em En | MEDLINE | ID: mdl-31647529
ABSTRACT
MOTIVATION There is an increasing amount of transcriptomic and genomic data available for planarians with the advent of both traditional and single-cell RNA sequencing technologies. Therefore, exploring, visualizing and making sense of all these data in order to understand planarian regeneration and development can be challenging.

RESULTS:

In this work, we present PlanExp, a web-application to explore and visualize gene expression data from different RNA-seq experiments (both traditional and single-cell RNA-seq) for the planaria Schmidtea mediterranea. PlanExp provides tools for creating different interactive plots, such as heatmaps, scatterplots, etc. and links them with the current sequence annotations both at the genome and the transcript level thanks to its integration with the PlanNET web application. PlanExp also provides a full gene/protein network editor, a prediction of genetic interactions from single-cell RNA-seq data, and a network expression mapper that will help researchers to close the gap between systems biology and planarian regeneration. AVAILABILITY AND IMPLEMENTATION PlanExp is freely available at https//compgen.bio.ub.edu/PlanNET/planexp. The source code is available at https//compgen.bio.ub.edu/PlanNET/downloads. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planárias Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planárias Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Espanha