2017
DOI: 10.1101/120295
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STAR-Fusion: Fast and Accurate Fusion Transcript Detection from RNA-Seq

Abstract: Motivation: Fusion genes created by genomic rearrangements can be potent drivers of tumorigenesis.

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Cited by 232 publications
(203 citation statements)
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“…Sequencing was performed (75 cycles, paired end) with a NextSeq 500/550 High Output V2 kit and an Illumina NextSeq 500 (Illumina). Alignments were performed with the STAR algorithm [11] against the GRCh38 reference genome, and fusion gene assessments were made with STAR-Fusion [12], Fusion-Catcher [10] and FusionMap [13] tools. Expression profiles were extracted from fastq files with Kallisto [14], and transformed as log2(TPM + 2) prior to quantile normalization with the Limma package v 3.32.2 performed in the R environment v3.4.1 [15].…”
Section: Ffpe Rna Sequencingmentioning
confidence: 99%
“…Sequencing was performed (75 cycles, paired end) with a NextSeq 500/550 High Output V2 kit and an Illumina NextSeq 500 (Illumina). Alignments were performed with the STAR algorithm [11] against the GRCh38 reference genome, and fusion gene assessments were made with STAR-Fusion [12], Fusion-Catcher [10] and FusionMap [13] tools. Expression profiles were extracted from fastq files with Kallisto [14], and transformed as log2(TPM + 2) prior to quantile normalization with the Limma package v 3.32.2 performed in the R environment v3.4.1 [15].…”
Section: Ffpe Rna Sequencingmentioning
confidence: 99%
“…Select events were validated by PCR or FISH. Star Fusion (v0.8.0) and FusionCatcher (v0.99.6a) were used to detect fusion transcripts in RNA‐seq data. Fusion transcript calls were contrasted with DNA SV data and visually verified on DNA level using IGV.…”
Section: Methodsmentioning
confidence: 99%
“…As such, integrating automated detection tools, e.g. hic_breakfinder [6] and STAR-Fusion [27], with visual heatmap inspection can provide substantial information regarding genomic SVs without any additional cost.…”
Section: Discussionmentioning
confidence: 99%