Search Results for "data capture framework"
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Showing 41 open source projects for "data capture framework"
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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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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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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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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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Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework with the Picard SAM JDK, and command line tools similar to SAMtools. The file formats currently supported are BAM, SAM, FASTQ, FASTA, QSEQ, BCF, and VCF. For a longer high-level description of Hadoop-BAM, refer to the article "Hadoop-BAM: directly manipulating next generation sequencing data in the cloud" in Bioinformatics Volume 28 Issue 6 pp. 876-877, available online at: http://dx.doi.org/10.1093/bioinformatics/bts054 Note that the library part of Hadoop-BAM is mainly for developers with experience in using Hadoop. ...
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MZmine 2
A framework for differential analysis of mass spectrometry data
MZmine 2 is a framework written in Java for differential analysis of mass spectrometry data. -
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Automatic cell lineage reconstruction
Automatic segmentation and tracking for 3D time-lapse microscopy
From Amat et al., Nature Methods, 2014*: "The comprehensive reconstruction of cell lineages in complex multicellular organisms is a central goal of developmental biology. We present an open-source computational framework for segmentation and tracking of cell nuclei with high accuracy and speed. We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. ... -
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StatAlign
An extendable statistical multiple alignment tool.
...The models behind the analysis permit the comparison of evolutionarily distant sequences: the TKF92 insertion-deletion model can be coupled to an arbitrary substitution model. A broad range of models for nucleotide and amino acid data is included in the package and the plug-in management system ensures that new models can be easily added. -
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BiomeNet
BAYESIAN INFERENCE OF METABOLIC DIVERGENCE AMONG MICROBIAL COMMUNITIES
...The basic idea is that the mixture components of the model (metabolic reactions, subnetworks, and networks) are shared across all groups (microbiome samples), but the mixture proportions vary from group to group. Through this framework, the model can capture nested structures within the data. BiomeNet is unique in modeling each metagenome sample as a mixture of complex metabolic systems (metabosystems). -
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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abc-sde
approximate Bayesian computation for stochastic differential equations
...It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. Variance components for the "measurement error" affecting the data/observations can be estimated. A 50-pages Reference Manual is provided with two case-studies implemented and discussed. The methodology is based on the research article available at http://arxiv.org/abs/1204.5459 Author's research page is http://www.maths.lth.se/matstat/staff/umberto/ -
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GenOO-HTS
A Modern Perl Framework for High Throughput Sequencing analysis
GenOO-HTS [jee-noo] is an open-source; object-oriented Perl framework specifically developed for the design of High Throughput Sequencing (HTS) analysis tools. The primary aim of GenOO-HTS is to make simple HTS analyses easy and complicated analyses possible. GenOO-HTS models biological entities into Perl objects and provides relevant attributes and methods that allow for the manipulation of high throughput sequencing data.
