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Genetic Analysis: GWAS Genetic Variation Linkage Analysis Gene Expression
Sequence Analysis: Assembly Annotation Alignment RNAi RNA-seq Primer Design Next Generation Tools Phylogenetic Analysis Gene Structure Viral
CellProfiler Analyst data exploration and analysis software is designed for complex and interactive exploration of multidimensional data, specifically from high-throughput image-based experiments.
ChemBank is the flagship project of the Chemical Biology Program and Platform, incorporating small-molecule structure and screening data from the Broad Institute's high-throughput screening facilities.
ChimeraSlayer is a chimeric sequence detection utility, compatible with near-full length Sanger sequences and shorter 454-FLX sequences (~500 bp).
Chrysalis clusters the Inchworm contigs into clusters and constructs complete de Bruijn graphs for each cluster. Each cluster represents the full transcriptonal complexity for a given gene (or sets of genes that share sequences in common). Chrysalis then partitions the full read set among these disjoint graphs.
ComSeq is a tool for designing and analyzing combinatorial pooling experiments for next-generation sequencing projects using compressed sensing technology. ComSeq enables the identification of novel rare alleles, as well as detection of individuals who are carriers of known SNPs in a large population in an efficient manner.
The Connectivity Map is a collection of genome-wide transcriptional expression data from cultured human cells treated with bioactive small molecules and simple pattern-matching algorithms that together enable the discovery of decisive functional connections between drugs, genes, and diseases. This web interface is designed to allow biologists, pharmacologists, chemists, and clinical scientists to use our analysis tools and access the raw data.
The Differentiation Map Portal (DMAP) contains data and publications used in the study of a differentiation map of hematopoiesis.
EIGENSTRAT detects and corrects for population stratification in genome-wide association studies using principal components analysis.
Automation of the Illumina TruSeq Exome Enrichment protocol on an Agilent Bravo liquid handling platform.
GSEA is a computational method that determines if a given set of genes shows statistically significant differences between two biological states. It is useful for interpreting the results of gene expression studies.