|Note: Most software published by our group is also available on github.com/uci-cbcl|
Hobbes is a tool for very fast, very accurate short-read sequence alignment. Hobbes has its own homepage.
Parallel genome assembly using Hyracks, available at https://github.com/uci-cbcl/genomix
An online EM implementation of the MEME model for fast motif discovery in large ChIP-Seq and DNase-Seq Footprinting data, available at https://github.com/uci-cbcl/EXTREME
PyLOH is a tool for discovering copy number variations in cancer genomes. PyLOH is available at https://github.com/uci-cbcl/PyLOH
A tool for transcripts abundances estimation from heterogeneous tissue sample of RNA-Seq data, available at https://github.com/uci-cbcl/TEMT
GBMCI is a tool for survival analysis by direct concordance index learning using gradient boosting, available at https://github.com/uci-cbcl/GBMCI
AREM is a tool for ChIP-seq analysis, and is able to discover peaks in repeat regions of the genomes. AREM is available at Aligning Reads from ChIP-seq data by expectation-maximization
Tree-HMM is an extension of the popular ChromHMM for doing clustering of epigenetic markers. Given a complete set of epigenetic markers for several cell types, and the phylogeny describing their relationship, Tree-HMM will perform approximate inference on the graphical model induced by connecting genomic positions of a certain cell type in a chain while also connecting different species according to the tree. Thus, each internal node's state depends on its “vertical parent” (parent cell type) and its “horizontal parent” (adjacent genomic region).
Code is available at https://github.com/uci-cbcl/tree-hmm and some sample data is available at http://cbcl.ics.uci.edu/public_data/tree-hmm-sample-data
SGD-RJ Stochastic gradient descent based on reversible jump MCMC.
SSEA SNP set enrichment analysis for genome-wide association studies.
SiPhy site-specific phylogenetic analysis for identifying conserved DNA sequences.
DNAzip DNA sequence compression
MDOS motif discovery using orthologous sequences (alignment independent)
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