Showing 4 open source projects for "bed"

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  • 1
    High-Throughput Tabular Data Processor
    HIGH-THROUGHPUT TABULAR DATA PROCESSOR (HTDP) is Java application that is intended to facilitate data exploration and reduction tasks in large text files resulting from high throughput technologies, e.g. massively parallel sequencing or microarrays. The software has been optimized for microarray and deep parallel sequencing data, however it can accept any character delimited tabular data sets. HTDP can also import, process and convert Variant Call Format (VCF) files ver. 4.0, 4.1 and 4.2...
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  • 2

    Athus

    Manage, merge, filter and convert population genetics data

    This project assists you in performing population genetic analyses by taking over the ugly, boring and error-prone data manipulation steps. Starting from well specified input formats VCF, BED and FASTA and a unique configuration file describing data (f.e. from SNP-arrays or sequencing) as well as filtering one can create standard POPGEN formats like Eigenstrat, PEDMAP (PLINK), Treemix ... In addition there are several utilities for * generating VCF from SNPArray data (NCBI - GEO, Illumina call files) * work with genetic maps ...
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  • 3

    iPiG

    Integrating PSMs into Genome browser visualisations

    iPiG targets the integration of peptide spectrum matches (PSMs) from mass spectrometry (MS) peptide identifications into genomic visualisations provided by genome browser such as the UCSC genome browser (http://genome.ucsc.edu/). iPiG takes PSMs from the MS standard format mzIdentML (*.mzid) or in text format and provides results in genome track formats (BED and GFF3 files), which can be easily imported into genome browsers. For more details about iPiG and it's functionallity, please see "iPiG: Integrating Peptide Spectrum Matches Into Genome Browser Visualizations" Mathias Kuhring and Bernhard Y. Renard (http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0050246)
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  • 4
    CNV Workshop is a web-enabled platform for analyzing genome variation such as copy number variation (CNV). Learn about CNV Workshop in our associated BMC Bioinformatics manuscript: http://www.biomedcentral.com/1471-2105/11/74
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