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...It uses RNAfold to predict sequence structure and UShuffle to generate random sequences with a defined k nucleotide frequency. Also, sequences in GenBank format can be downloaded directly from NCBI using the NCBI access ID. Requirements JAVA Runtime 8. It's highly recommended to have a multicore processor to process large sequences. * Currently, this version only runs in Windows x64.

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.

Developed at Medical Research Council UK to meet a common clinical trial need to track various types of clinical data. Users log dates of completed tasks against participant ID. Simple, useable, reduces lost data! Makes graphical progress reports.

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