CisMols (Cis-regulatory Modules) is a tool that identifies compositionally predicted cis-clusters that occur in groups of co-regulated genes within each of their ortholog-pair evolutionarily conserved cis-regulatory regions.
ERPIN (Easy RNA Profile IdentificatioN) takes as input an RNA sequence alignment and secondary structure annotation and will identify a wide variety of known RNA motifs (such as tRNAs, 5S rRNAs, SRP RNA, C/D box snoRNAs, hammerhead motifs, miRNAs and others) in your sequence(s) of interest. Also contains tool for drawing secondary structure of motifs.
JASPAR is a non-redundant, curated collection of transcription factor binding profiles. Each profile is generated from published, experimentally defined eukaryotic transcription factor binding sites.
jPREdictor predicts cis-regulatory elements using short motifs that are known to bind regulatory proteins. Predictions are made by searching for clusters of these motifs, and weighting these clusters by applying a positive or negative training sets to score the sequence.
MADAP is a clustering tool for the interpretation annotation data mapped onto complete or partial genome sequences. Initially developed for determining transcription start sites (TSS) by defining 5\' and 3\'ends of mRNA, MADAP also has utility in clustering other annotation data types (ChIP-chip data, for example).
Server designed to pinpoint protein-DNA interaction sites at the base pair level. Uses ChIP-array data, word enumeration and position-specific weight matrix updating to search for motifs representing these interaction sites.
The website of the Ohio State University Human Cancer Genetics Bioinformatics group. This site has many resources, including databases of promoters and transcription factors, software tools to predict potential P53 consensus binding sites and to predict first exon and promoter regions and a software toolkit for developing web-based applications to view genomic data.
rMotif provides tools for the discovery of de-novo, fully, or partially characterized regulatory motifs including transcription factor binding sites (TFBS).
SCOPE (Suite for Computational identification Of Promoter Elements) is a set of programs aimed at identifying novel cis-regulatory elements from groups of upstream sequences. SCOPE does not have any nuisance parameters so does not require the user to guess what the results might be. SCOPE is also very robust to noisy data and is still 50% as accurate even in the presence of 4-fold noise. SCOPE can also identify other genes in the genome that might be coregulated with the original gene set.
Signal Search Analysis (SSA) allows for the analysis of nucleic acid sequence motifs that are positionally correlated with a functional site (e.g. a transcription start site).