Search Results for "java caller id"

A genome wide mapping data interpretation platform for NGS(ChIPSeq). A tutorial can be found at: http://genomeast.igbmc.fr/wiki/doku.php?id=training:seqminer

A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too).

Now in Github: https://github.com/dnaase/Bis-tools/tree/master/Bis-SNP BisSNP is a package based on the Genome Analysis Toolkit (GATK) map-reduce framework for genotyping in bisulfite treated massively parallel sequencing (Bisulfite-seq, NOMe-seq and RRBS) on Illumina platform. It uses bayesian inference with either manually specified or automatically estimated methylation probabilities of different cytosine context(not only CpG, CHH, CHG in Bisulfite-seq, but also GCH et.al. in other...

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/.

PLEASE NOTE: THIS PROJECT PAGE WILL NO LONGER BE UPDATED - PLEASE USE THE GITHUB PAGE (https://github.com/gantzgraf/MutationMapper) TO FIND THE LATEST RELEASE (https://github.com/gantzgraf/MutationMapper/releases/latest). Predict functional consequences of mutations identified from sanger sequencing.

Referent Tracking (RT) is a novel approach to store data in electronic (health) records by referring to real world entities by means of a unique ID. The RT System is a back-end that uses RDF as a representation, but adds to it a referential semantics.

Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.

The BGSSJ allows for easy and interactive querying using different gene identifiers (GenBank ID, UniGene, SwissProt, gene symbol), generates a summary page with listings of the frequencies of Gene Ontology annotations for each functional category (cluste