ImmQuant: a user-friendly tool for inferring immune cell-type composition from gene-expression data.
Bioinformatics
; 32(24): 3842-3843, 2016 12 15.
Article
en En
| MEDLINE
| ID: mdl-27531105
ABSTRACT
The composition of immune-cell subsets is key to the understanding of major diseases and pathologies. Computational deconvolution methods enable researchers to investigate immune cell quantities in complex tissues based on transcriptome data. Here we present ImmQuant, a software tool allowing immunologists to upload transcription profiles of multiple tissue samples, apply deconvolution methodology to predict differences in cell-type quantities between the samples, and then inspect the inferred cell-type alterations using convenient visualization tools. ImmQuant builds on the DCQ deconvolution algorithm and allows a user-friendly utilization of this method by non-bioinformatician researchers. Specifically, it enables investigation of hundreds of immune cell subsets in mouse tissues, as well as a few dozen cell types in human samples. AVAILABILITY AND IMPLEMENTATION ImmQuant is available for download at http//csgi.tau.ac.il/ImmQuant/ CONTACT iritgv@post.tau.ac.ilSupplementary information Supplementary data are available at Bioinformatics online.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Transcriptoma
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Sistema Inmunológico
Límite:
Animals
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Humans
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2016
Tipo del documento:
Article
País de afiliación:
Israel