Search Results for "data capture framework"
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Showing 60 open source projects for "data capture framework"
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MAF
Bash Framework to combine many preprocessing and alignment tools
DNA and RNA nucleotide sequences are an ubiquitous element of all biological cells and are serving on one hand as a comprehensive library of capabilities for the cells and on the other as an impressive regulatory system to control cellular function. The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. The platform enables researcher to apply multiple sequence aligners and further pre- and postprocessing tools in flexible combinations to analyze the subtle to remarkable differences between different sequence alignment and processing algorithms applied to the same data basis. ... -
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NGSEP
NGSEP (Next Generation Sequencing Experience Platform)
NGSEP is an integrated framework for analysis of short and long DNA high throughput sequencing reads. The current version provides functionalities for both de-novo and reference guided analysis of sequencing data, including genome assembly, read mapping, variants detection and genotyping and de-novo analysis of data generated from reduced representation protocols. -
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The Systems Biology Format Converter (SBFC) is a Java generic framework aiming to translate any systems biology model format into another. The SBFC Web Site providing detailed feature description and instructions for installing, using and developing new modules is: http://sbfc.sourceforge.net/ . Currently, SBFC allows the user to convert SBML models into the formats: BioPax, Matlab, Octave, XPP, DOT, and SBGN. Due to its modular design fast development and addition of new converters...
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This project moved to GitHub in 2021 and is available at: https://cbrinkrolf.github.io/VANESA/ This tool is a platform-independent software to create individual pathways and to examine biological networks of distributed, heterogeneous data sources, e.g. KEGG, BRENDA. VANESA also offers Petri net modeling of extended hybrid Petri nets which can be also simulated using the OpenModelica framework.
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bioweb
polyglot language framework to analyze genetic data
polyglot framework using Python/C++/JavaScript to fast develop applications to analyze biological sequences -
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An open source framework for LC-MS based proteomics and metabolomics. OpenMS offers data structures and algorithms for the processing of mass spectrometry data. The library is written in C++. Our source code and wiki lives on GitHub (https://github.com/OpenMS/OpenMS).
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MarDRe
MapReduce-based tool to remove duplicate DNA reads
MarDRe is a de novo MapReduce-based parallel tool to remove duplicate and near-duplicate DNA reads through the clustering of single-end and paired-end sequences from FASTQ/FASTA datasets. This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems. 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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rMATS-ISO
rMATS-Iso is a generalization of rMATS for complex splicing patterns.
rMATS-Iso is a generalization of the rMATS statistical framework, to detect differential splicing modules with complex splicing patterns using replicate RNA-seq data. -
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As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site. Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/) More details and documentation can be found on the...
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BisSNP
Bisulfite-seq/NOMe-seq SNPs & cytosine methylation caller
...It works for both of single-end and paired-end reads.Specificity and sensitivity has been validate by Illumina IM SNP array. In default threshold 30X data (Phred scale score > 20), it could detect 92.21% heterozygous SNPs with 0.14% false positive rate Cytosine calling is not only based on reference context, so it could detect non-reference cytosine context. Google group for help: http://goo.gl/zL7Nj -
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MOIRAI
Simple Scientific Workflow System for CAGE Analysis
Cap analysis of gene expression (CAGE) is a sequencing based technology to capture the 5’ ends of RNAs in a biological sample. After mapping, a CAGE peak on the genome indicates the position of an active transcriptional start site (TSS) and the number of reads correspond to its expression level. CAGE is prominently used in both the FANTOM and ENCODE project. MOIRAI is a compact yet flexible workflow system designed to carry out the main steps in data processing and analysis of CAGE data. ... -
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metasort
A metagenome assembler by reducing microbial community
Most current approaches analyze metagenomic data with the participation of reference genomes. However, novel microbial communities extend far beyond the coverage of reference databases and de novo metagenome assembly from complex microbial communities still remains a great challenge. Here we present a novel experimental and bioinformatic framework, metaSort, for effective construction of bacterial genomes from metagenomic samples. -
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scFvMiner
Scripts for analysing NGS data
These scripts written in java can be used for deep sequencing analysis of the scFv antibodies from a synthetic antibody library and yields complete sequence information on the randomized areas of antibodies enriched from the library by phage display. The methods are descriped in Lövgen, J., Pursiheimo, J.P., Pyykkö, M., Salmi, J. & Lamminmäki, U. (2016) Next generation sequencing of all variable loops of synthetic single framework scFv – application in anti-HDL antibody selections. New... -
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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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Copy Number Analysis for Targeted Resequencing (CONTRA) is a tool for copy number variation (CNV) detection for targeted resequencing data such as those from whole-exome capture data.
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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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bio-cargo
CARGO - Compressed ARchival for GenOmics
CARGO is a high-level framework that can semi-automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of CARGO methods to compress FASTQ and SAM format archives require only a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors, and scale well to multi-TB datasets. -
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Atlas is a suite of variant analysis tools specializing in the separation of true SNPs and insertions and deletions (indels) from sequencing and mapping errors in Whole Exome Capture Sequecing (WECS) data.
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owl reasoning over big biomedical data
A OWL reasoning framework for the analysis of big biomedical data
A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. -
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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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GenoSuite is a framework developed for proteogenomic analysis. An updated GenoSuite2 is just released where FDRScore (Jones et al. Proteomics 2009) based strategy is used to integrate results from multiple search algorithms. Prokaryotic Proteogenomic Tool(PPT) is developed as a part of GenoSuite framework. PPT is for finding novel translations in prokaryotic genomes and is dependent on Mass Spectrometry based proteomics data and related genome sequence.
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SPA
SPA: a short peptide assembler for metagenomic data
...A nucleotide assembly-based strategy does not fare much better since metagenomic assemblies are typically very fragmented and also leave a large fraction of reads unassembled. We present a method for reconstructing complete protein sequences directly from NGS metagenomic data. Our framework is based on a novel Short Peptide Assembler (SPA) that assembles protein sequences from their constituent peptide fragments identified on short reads. We also present a new implementation of SPA based on suffix array (SFA-SPA) which runs significantly faster than SPA. Youngik Yang, Cuncong Zhong, and Shibu Yooseph* J. ...
