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Showing 8 open source projects for "java id"
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LoopMatcher
Find sequence-specific stem-loops in FASTA and GenBank files.
...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. -
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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
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
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). -
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GNAT
GNAT recognizes gene names in text and maps them to NCBI Entrez Gene
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/. -
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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.
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clinicalStudyTracker
Clinical study tracker tracks case study members through activities.
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. -
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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.
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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
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