The Gene Expression Data Analyzer (GEDA) is a tool for discovering differential gene expression in a subset of patients. It is tailored to cancer-related microarray studies and offers extensive options for visualization, classification and normalization.
The PANTHER (Protein ANalysis THrough Evolutionary Relationships) Classification System is a unique resource that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function. The PANTHER research tools allow you to score proteins against the PANTHER HMM library, use PANTHER to do gene expression analyses, and download PANTHER tools and data.
PipeAlign takes one or more protein sequences as input and analyzes them in a five-step process during which searches for sequence homologues, analyses of multiple sequence alignments, and hierarchical relationships between protein subfamilies are performed.
pknotsRG is a server for single sequence RNA secondary structure prediction including pseudoknots; source code, binary executable, and web service available.
PRED-TMBB is a tool that takes a Gram-negative bacteria protein sequence as input and predicts the transmembrane strands and the probability of it being an outer membrane beta-barrel protein. The user has a choice of three different decoding methods.
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.
SVMHC is a server for prediction of MHC class I and class II binding peptides. SVMHC can be used to find likely binders in a protein sequence and to investigate the effects of single nucleotide polymorphisms on MHC-peptide binding.
Twinscan is a system for predicting gene-structure in eukaryotic genomic sequences. In order to make its predictions, Twinscan combines the information from predicted coding regions and splice sites with conserservation measurements between the target sequence and sequences from a closely related genome. Currently sequences from mammalian genomes, and those of Arabidopsis thaliana, C. elegans, C. briggsae and strains JEC21 and H99 of Cryptococcus neoformans can be processed using Twinscan.