Search Results for "genes"

Although protein-protein interaction networks are an ubiquitous component of modern systems biology, comparatively few efforts have been made to tailor their topology to the actual cellular condition under study. Since a simple reduction of the networks to the subset of expressed genes only scratches the surface of higher organisms’ regulatory capabilities, we propose the advanced method PPIXpress that allows to exploit expression data at the transcript-level and is thus able to also reveal alterations in protein connectivity caused by alternative splicing. The original publication can be found on https://bioinformatics.oxfordjournals.org/content/32/4/571 .

GNAT is a BioNLP/text mining tool to recognize and identify gene/protein names in natural language text. It will detect mentions of genes in text, such as PubMed/Medline abstracts, and disambiguate them to remove false positives and map them to the correct entry in the NCBI Entrez Gene database by gene ID. March 2017: We started to upload GNAT output on Medline. See files/results/medline/.

This program compares personal gene analysis results from 23andme with extracted databases from the human genome project. An typical example of an extracted database is a dataset which contains all alternative alleles which occur less than 1% of the time.

GESPA (GEnomic Single nucleotide Polymorphism Analyzer) is a bioinformatics tool for classifying Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs). GESPA predicts if a nsSNP is pathogenic using reports from literature and various algorithms to assess conservation in orthologous and paralogous protein alignments. Using reports from literature, GESPA is also able to predict the phenotype of a nsSNP with high accuracy. The software can be used clinically to determine if observed nsSNPs are...