We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
A software package for the identification of transcription factor binding sites in ChIP-Seq data, developed by Computational Systems Biology of Cancer group at the Bioinformatics Laboratory of Institut Curie (Paris).
A Hidden Markov Model-based algorithm for the purpose of defining genome-wide ChIP-enriched peaks in the human genome using short sequence reads.
A Hidden Markov Model based software tool that is developed to detect histone modification in cancer ChIP-seq data.
Software application that can be used for converting Eland, Maq (.map), BED or other files into WIG files and identifying areas of enrichment (ChIP-Seq analysis).
A Python package for doing RNA-seq and ChIP-seq (hence the dual-use).
A high resolution transcription factor binding site (TFBS) identification (deconvolution) algorithm. dPeak implements a probabilistic model that accurately describes ChIP-exo and ChIP-Seq data generation process for both the SET and PET assays.
A Plant MicroRNA Target Expression Database to study the microRNA (miRNA) functions by inferring their target gene expression profiles among the large amount of existing microarray data. You may also predict your miRNA targets and retrieve their microarray expression data.
Catalogs of predicted microRNA targets in worm (based on ce6 genome assembly), fly (dm3), mouse (mm9) and human (hg18). We follow standard seed parameter settings and consider seeds of length 6-8 bases, beginning at position 2 of the microRNA. No mismatches or loops are allowed, but a single G:U wobble is allowed in 7- or 8-mers. In genes missing a 3' UTR annotation, 500 bp (fly), 800 bp (human and mouse) or 300 bp (worm) downstream of the annotated end of the coding sequence were used as the predicted UTR. For each organism, a catalog with zero flank and with a flank of 3 and 15 bases upstream and downstream.
Software for detecting Co-Occurrence and Spatial Arrangement of Transcription Factor Binding Motifs in Genome-Wide Datasets.
An integrated web server for identifying miRNA-target interactions in human. The tool enables biologists easily to identify the biological functions and regulatory relationships between a group of known/putative miRNAs and protein coding genes. It also provides perspective of information on the miRNA targets on alternatively spliced transcripts.
A web-based tool used for homologous miRNA gene search in several species. The code is available on request.
Data set of 2003 and 2005 miRNA-Target predictions for Drosophila miRNAs.
An online database for miRNA target prediction and functional annotations.
Software for a specific model, implemented within the MUMMIE framework, for predicting micro-RNA binding sites using PAR-CLIP data.
Database of computationally predicted targets for microRNAs across many species.
Web tool to predict biological targets of miRNAs by searching for presence of conserved 8mer, 7mer and 6mer sites that match seed region of each miRNA. Nonconserved sites are also predicted and sites with mismatches in seed region that are compensated by conserved 3' pairing. Used to search for predicted microRNA targets in mammals.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023. Accurate mapping of RNA-seq reads for splice junction discovery.
A clustering software package for identification of enriched domains from histone modification ChIP-Seq data.
Database serving as a tool for microRNA target prediction. The HOCTAR procedure is based on the integration of expression profiling and sequence-based miRNA target recognition softwares. HOCTAR database (db) is the first and unique database to use transcriptomic data to score putative miRNA targets looking at the expression behaviour of their host genes, and it includes and re-analyzes all miRNA target predictions generated by softwares such as miRanda, TargetScan and PicTar. The HOCTARdb contains the prediction target lists for 290 human intragenic miRNAs and also provides tentative assignments of miRNA function based on Gene Ontology analyses of their predicted targets. There are two ways to interrogate HOCTARdb: (i) by selecting a miRNA using either an alphabetically sorted pull-down menu in the microRNA query, or (ii) by typing a target gene symbol (HUGO Gene Name-approved) in the Target Gene Name query.
Manually curated database of experimentally supported animal microRNA targets. Collection of experimentally supported miRNA gene interactions.