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Star
Jul 20, 2023
Spliced Transcripts Alignment to a Reference
STAR Spliced Transcripts Alignment to a Reference aims to achieve accurate alignment of high-throughput RNA-seq data.
STAR is 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 x 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision
Checkout these related ports:
- Wise - Intelligent algorithms for DNA searches
- Wfa2-lib - Exact gap-affine algorithm using homology to accelerate alignment
- Vt - Discovers short variants from Next Generation Sequencing data
- Vsearch - Versatile open-source tool for metagenomics
- Viennarna - Alignment tools for the structural analysis of RNA
- Velvet - Sequence assembler for very short reads
- Vcftools - Tools for working with VCF genomics files
- Vcflib - C++ library and CLI tools for parsing and manipulating VCF files
- Vcf2hap - Generate .hap file from VCF for haplohseq
- Vcf-split - Split a multi-sample VCF into single-sample VCFs
- Unikmer - Toolkit for nucleic acid k-mer analysis, set operations on k-mers
- Unanimity - Pacific Biosciences consensus library and applications
- Ugene - Integrated bioinformatics toolkit
- Ucsc-userapps - Command line tools from the UCSC Genome Browser project
- Trimmomatic - Flexible read trimming tool for Illumina NGS data