Given a biomedical text, Acromine Disambiguator correctly predicts expanded full forms of acronoyms appearing in the text. As acronyms appearing in biomedical texts are often ambiguous, such a disambiguation process is important to ensure the correct interpretation of the text.
Asterias is a set of tools for the analyses of high throughput genomic data that includes applications for microarray data normalization, filtering, detection of differential gene expression, class and survival prediction model building, and analysis of array CGH data. Most applications use parallel computing resulting in significant increases in speed.
AUGUSTUS is a eukaryotic gene prediction tool. It can integrate evidence, e.g. from RNA-Seq, ESTs, proteomics, but can also predict genes ab initio. The PPX extension to AUGUSTUS can take a protein sequence multiple sequence alignment as input to find new members of the family in a genome. It can be run through a web interface, or downloaded and run locally.
The Berkeley Phylogenomics Group provides a series of
web servers for phylogenomic analysis: classification of sequences to pre-computed families and subfamilies using the PhyloFacts Phylogenomic Encyclopedia, FlowerPower clustering of proteins sharing the same domain architecture, MUSCLE multiple sequence alignment, SATCHMO simultaneous alignment and tree construction, and SCI-PHY subfamily identification.
Server which predicts conserved secondary structure elements of homologous RNAs. The input of a set of RNA sequences are not required to be previously aligned.
ENDEAVOUR is a computational approach to prioritize candidate genes for further study. Users input training genes already known to be involved in the process under study and the candidate genes to prioritize. The web server supports multiple species and integrates multiple genomic data to generate the final prioritization.
ENDEAVOUR has been benchmarked in silico and experimentally validated leading to the discovery of novel disease genes in several genetic diseases.
eProbalign computes maximal expected accuracy multiple sequence alignments from partition function posterior probabilities. eProbalign also provides a platform
to visualize the alignment, generate images, and
manipulate the output.
Evolutionary trace (ET) report maker pools information from different sources including databases and on-the-fly multiple sequence analysis to produce a pdf formatted document as output. The emphasis is on prediction of functional sites of proteins.