STAR

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Application data

Created by Alexander Dobin
Biological application domain(s) RNA-seq, Transcriptomics
Principal bioinformatics method(s) Sequence alignment
Technology Illumina, 454, Sanger, Ion Torrent, PacBio
Created at CSHL
Maintained? Yes
Input format(s) FASTA, FASTQ
Output format(s) SAM
Programming language(s) C++
Licence GPLv3
Operating system(s) Linux, Unix, Mac OS X; x86_64

Summary: Ultrafast universal RNA-seq aligner

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Description

MOTIVATION: Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases.

RESULTS: To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy.

AVAILABILITY AND IMPLEMENTATION: STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license.

Links


References

  1. . 2012. Bioinformatics (Oxford)


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