Showing 6 open source projects for "low level"

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  • 1
    SUPERmerge

    SUPERmerge

    ChIP-seq coverage island analysis algorithm for broad histone marks

    SUPERmerge is a ChIP-seq read pileup analysis and annotation algorithm for investigating alignment (BAM) files of diffuse histone modification ChIP-seq datasets with broad chromatin domains at a single base pair resolution level. SUPERmerge allows flexible regulation of a variety of read pileup parameters, thereby revealing how read islands aggregate into areas of coverage across the genome and what annotation features they map to within individual biological replicates. SUPERmerge is especially useful for investigating low sample size ChIP-seq experiments in which epigenetic histone modifications (e.g., H3K9me1, H3K27me3) result in inherently broad peaks with a diffuse range of signal enrichment spanning multiple consecutive genomic loci and annotated features.
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  • 2

    WrapImaJ

    Multi-platform API for Image Processing systems in Life Sciences

    WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it...
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  • 3
    Morpheus search algorithm

    Morpheus search algorithm

    a mass spectrometry–based proteomics database search algorithm

    Morpheus is a mass spectrometry–based proteomics database search algorithm designed from the ground up for high-resolution tandem mass spectra. We have discovered that for high-resolution MS/MS, simple spectrum preprocessing and scoring performs superior to more complex algorithms originally developed for low-resolution MS/MS, such as Sequest, Mascot, and OMSSA. Morpheus is also very fast—up to nearly 5 times faster than OMSSA for large human datasets. It is written in C# and is available...
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  • 4

    GASiC

    Genome Abundance Similarity Correction

    One goal of sequencing based metagenomic analysis is the quantitative taxonomic assessment of microbial community compositions. However, the majority of approaches either quantify at low resolution (e.g. at phylum level) or have severe problems discerning highly similar species. Yet, accurate quantification on species level is desirable in applications such as metagenomic diagnostics or community comparison. GASiC is a method to correct read alignment results for the ambiguities imposed by similarities of genomes. ...
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  • 5
    ViAmI-Server

    ViAmI-Server

    Pattern recognition for ADL events

    ...We propose an approach which treats the detection of changes in behavior detected with a sensor/video fusion, which occur at radically different time-scales, through a CBR in two levels: low and high level. The system is always updating the database with the daily data.
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  • 6
    TiMAT2 contains tools for low and high level genomic tiling microarray analysis using the Affymetrix, NimbleGen, and Agilent platforms. It is designed for processing single and multi chip data sets from ChIP-Chip, RNA difference, and aCGH experiments.
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