Links tagged with 'predictive value of tests'

Found 10 links

Displaying 10 links

Gene Expression Data AnalyzerTool Content

http://bioinformatics.upmc.edu/GE2/GEDA.html

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.

PRED-TMBBTool Content

http://bioinformatics.biol.uoa.gr/PRED-TMBB/

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.

This content is being maintained by pbagos.

SCOPETool Content

http://genie.dartmouth.edu/scope/

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.

This content is being maintained by bobgross.

TwinscanTool Content

http://genes.cs.wustl.edu/

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.