TopHat is a fast splice junction mapper for RNA-Seq reads. It aligns RNA-Seq reads to mammalian-sized genomes using the ultra high-throughput short read aligner Bowtie, and then analyzes the mapping results to identify splice junctions between exons.
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.
Gbench (NCBI Genome Workbench) is an integrated application for viewing and analyzing sequence data. With Genome Workbench, you can view data in publically available sequence databases at NCBI, and mix this data with your own private data.Genome Workbench can display sequence data in many ways, including graphical sequence views, various alignment views, phylogenetic tree views, and tabular views of data. It can also align your private data to data in public databases, display your data in the context of public data, and retrieve BLAST results.
SiGPAT is a useful tool based on gene set analysis for microarray data. It can find significant expression patterns of gene sets by pri-defined biological knowledge. To be unique to other tools, SiGPAT assignes two statistics for each gene sets and classifies expression patterns of gene sets form two dimension distribution of set-level statistics. The tool was evaluated with better performance than current tools such as GSEA and SAM-GS
CePa is a useful tool to find significant pathways from pathway structure information. The motivation of the software is that the traditional over-representation analysis (ORA) methods find significant pathways without the topological information. The tool also emphasizes that multiple choices to look for important nodes in network is necessary.
ChIP-PED is designed to enhance the analysis of ChIP-chip and ChIP-seq (ChIPx) data. Given the target genes of a TF in one or more cell types, ChIP-PED searches for new biological systems potentially enriched with regulatory activity of the TF by superimposing ChIPx data on large amounts of Publicly available human and mouse gene Expression Data from a diverse collection of biological systems.