Search Results for "apache framework"
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Showing 15 open source projects for "apache framework"
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
...Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. Written in pure Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for Big Data processing. -
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HSRA
Hadoop spliced read aligner for RNA-seq data
...This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. HSRA currently supports single-end and paired-end read alignments from FASTQ/FASTA datasets. Moreover, our tool uses the Hadoop Sequence Parser (HSP) library (link above) to efficiently read the input datasets stored on the Hadoop Distributed File System (HDFS), being able to process datasets compressed with Gzip and BZip2 codecs. -
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This ohnlp project has released "pipelines" that were contributed by members of the OHNLP Consortium. The pipelines are based on the Apache UIMA framework. medKAT/P, MedCoref, MedTagger, MedXN, and cTAKES are licensed under Apache License V2.0. MedTime is licensed under GNU General Public License version 3.0 (GPLv3). cTAKES development has moved to apache.org. See http://ctakes.apache.org/
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JMGF
Java implementation for the Mascot Generic File Format (MGF).
JMGF is a lightweight framework for handling MGF files. It supports reading, writing and parsing of MGF files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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JFASTA
Java implementation for the FASTA file format.
JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later. -
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BioUtils - Proteomics
Lightweight framework for handling biological and bioinformatical data
The BioUtils - Proteomics package is a lightweight Java framework for handling commonly used data produced and needed in the field of Mass spectrometry in general and especially in the field of Proteomics. It's stable, intuitive to use and good integrated with Java 6 SDK and later. -
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GeneticAlgorithms
Framework for using the Genetic Algorithms optimization heuristic.
GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later. -
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Corra [BMC Bioinformatics 2008] is a computational framework & tools for discovery proteomics using label free LC-MS and ATAQS [BMC Bioinformatics 2011] is a computational framework & tools for validation proteomics using SRM LC-MS method.
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Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.
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The Edinburgh Pathway Editor (EPE) is a tool and framework that allows the drawing and manipulation of Biological Networks, such as signalling or matabolic pathways. The editor supports several notations including SBGN and Cytoscape notations.
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AnnaF is an automatic gene annotation framework, that is used to do some automatic annotation for C. higginsianum. It was also tested on F. graminearum and should work well for fungi in general. AnnaF was build upon the pipeline framework Anna.
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The MML Framework is a temporal-spatial biological model representation language. The MML Project provides the application tool set which facilitates the goals of representing biological models using the MML specifications.
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Dogwood is an ontology-aware Distributed Annotation System (DAS) server framework for the integration of biological, biomedical and clinical data.
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cTAKES is a system for annotating clinical documents, built on the Apache UIMA framework . cTAKES development has moved to apache.org. Please see http:/ctakes.apache.org
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Predictive Networks
Web application providing analysis of biomedical relationships.
Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).
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