HISAT is a fast and sensitive spliced alignment program for mapping RNA-seq reads.
HISAT2 is a successor to both HISAT and TopHat2. HISAT2 is a fast and sensitive alignment program for mapping next-generation sequencing reads (both DNA and RNA) against the general human population (as well as against a single reference genome).
Bowtie is an ultrafast, memory-efficient short read aligner. For the human genome, Burrows-Wheeler indexing allows Bowtie to align more than 25 million reads per CPU hour with a memory footprint of approximately 1.3 gigabytes. Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches. Multiple processor cores can be used simultaneously to achieve even greater alignment speeds.
Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about 50 up to 100s or 1,000s of characters, and particularly good at aligning to relatively long (e.g. mammalian) genomes.
Alfred is an efficient and versatile command-line application that computes multi-sample quality control metrics in a read-group aware manner. Alfred supports read counting, feature annotation and haplotype-resolved consensus computation using multiple sequence alignments
Many important principles underlying how protein molecular machines work lie beyond the pale of direct experimental observation. CHAIN (Contrast Hierarchical Alignment and Interaction Network ) analysis is a statistical solution to this problem that follows Mendel’s example: Just as Mendel inferred principles underlying genetic mechanisms from observed patterns of inherited traits, CHAIN analysis seeks to infer principles underlying molecular mechanisms from observed patterns in protein sequences—the cell’s own language for encoding those mechanisms.