Search Results for "featurecounts"

The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program. Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments. Subread and Subjunc were published in the following paper: Yang Liao, Gordon K Smyth and Wei Shi. ...

...Therefore, we developed a detection and filtering workflow bundled into a Singularity container for a streamlined and easy-to-use application. Arriba and FusionCatcher are utilized for fusion calling. Our filtering pipeline uses read counts generated by FeatureCounts and insert size estimation by Picard Tools for calculation of our filtering metrics: Fusion Transcript Score (FTS). Further filtering is realized by a custom blacklist, our Promiscuity Score (PS) and Robustness Score (RS). Identified fusion genes are reported with evidence levels based on our filtering. This pipeline has been developed and optimized in a study of 806 AML patient samples (https://doi.org/10.3324/haematol.2021.278436).

...It starts from fastq files and will produce gene/isoform expression matrix, differentially-expressed-genes, sample clusters as well as detection of SNP and fusion genes by combination of the state-of-the-art software. The first version handles protein-coding genes, lncRNAs and circRNAs and includes six core-workflows such as (1) Tophat - Cufflink - Cuffdiff; (2) Subread - featureCounts - DESeq2; (3) STAR - RSEM - EBSeq; (4) Bowtie - eXpress - edgeR; (5) kallisto - sleuth; (6) HISAT - StringTie - Ballgown. Please cite the following paper when using this package: Dapeng Wang. hppRNA—a Snakemake-based handy parameter-free pipeline for RNA-Seq analysis of numerous samples. Briefings in Bioinformatics, Volume 19, Issue 4, 20 July 2018, Pages 622–626.