2014
DOI: 10.1093/bioinformatics/btt756
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CGAT: computational genomics analysis toolkit

Abstract: Summary: Computational genomics seeks to draw biological inferences from genomic datasets, often by integrating and contextualizing next-generation sequencing data. CGAT provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals, gene sets and sequences. The tools can both be run from the Unix command line and installed into visual wor… Show more

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Cited by 77 publications
(66 citation statements)
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“…The CGAT tool kit (version 0.2.5) 40 was used to generate the metagene profiles for the 3′-poly(A) reads and ChIP-seq data. For 3′-poly(A) reads from U1 AMO RNA-seq data, downloaded nongenomic 3′-poly(A) sites from gene body regions (except last exon) in four different human tissues 12 were pooled into 3′-poly(A) sites defined as internal/gene body tissue poly(A)s. To draw a metagene profile of 3′-poly(A) reads from U1 AMO RNA-seq on the internal/gene body tissue poly(A) site, genes were required to have at least one PCPA site by PCPA calculation and one tissue poly(A) site, total 1,166 genes with 2,114 unique poly(A) sites.…”
Section: Methodsmentioning
confidence: 99%
“…The CGAT tool kit (version 0.2.5) 40 was used to generate the metagene profiles for the 3′-poly(A) reads and ChIP-seq data. For 3′-poly(A) reads from U1 AMO RNA-seq data, downloaded nongenomic 3′-poly(A) sites from gene body regions (except last exon) in four different human tissues 12 were pooled into 3′-poly(A) sites defined as internal/gene body tissue poly(A)s. To draw a metagene profile of 3′-poly(A) reads from U1 AMO RNA-seq on the internal/gene body tissue poly(A) site, genes were required to have at least one PCPA site by PCPA calculation and one tissue poly(A) site, total 1,166 genes with 2,114 unique poly(A) sites.…”
Section: Methodsmentioning
confidence: 99%
“…3B; Sims et al 2014). As described in full in the Supplemental Methods, per-gene local FDRs (Efron 2005) were estimated using FPKM values quantitated on gene models and on a matched null set of gene models shifted into selected intergenic space.…”
Section: Rna-seq and Local Fdr Analysis Of Gene Expression In Thymic mentioning
confidence: 99%
“…For unambiguous counting of mapped reads with exon/intron resolution rather than transcript/gene levels, a single transcript was selected per gene using CGAT scripts (version 0.3.2) (Sims, Ilott et al, 2014) with the following parameters: gtf2gtf --method=filter --filter-method=representative-transcript. In these parameters, the "representative transcript" that shared the most exons with the other transcripts in the same gene was used.…”
Section: Bioinformatics Analyses Of Rna-seq Datamentioning
confidence: 99%