Showing 10 open source projects for "count"

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  • 1
    miRDeep*

    miRDeep*

    MiRDeep*

    Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.
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    Downloads: 1 This Week
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  • 2
    The Simplest Manual Counter

    The Simplest Manual Counter

    Manual counter with the keyboard or the mouse on images

    The only open source counter to count any items the simplest and easiest way with the keyboard, or the mouse specifically on images. After associating a key to each item, or a predefined graphical symbol for images, pressing the key or clicking on the image increments its associated counter, and displays (for the images) the symbol at the mouse's pointer location. Such a project is so simple a child could use it!
    Downloads: 0 This Week
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  • 3
    TVscript

    TVscript

    Exploration of the removal of count variable transcripts.

    > See TVscript wiki: https://sourceforge.net/p/tvscript/wiki/Home/ Related Software: 1. CStone: https://sourceforge.net/projects/cstone/ 2. CSReadGen: https://sourceforge.net/projects/csreadgen/ 3. CView: https://sourceforge.net/projects/cview/ 4. ChimSim: https://sourceforge.net/projects/chimsim/ 5. TVScript: (See wiki) 6. SeQuester: https://sourceforge.net/projects/sequester/ 7. TreeScope: https://sourceforge.net/projects/treescope/
    Downloads: 0 This Week
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  • 4

    MoPAC

    The Modular Pipeline for the Analysis of CRISPR screens

    To facilitate the comparison of gene essentialities in two or more cell samples, we propose MoPAC (Modular Pipeline for Analysis of CRISPR screens), a Shiny-driven interactive tool for differential essentiality analysis in CRISPR/Cas9 screens. For installation and usage instructions please refer to the wiki page.
    Downloads: 2 This Week
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  • 5

    mirplant

    miRPlant: An Integrated Tool for Identification of Plant miRNA

    please cite: An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC: miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data. BMC bioinformatics 2014, 15(1):275. We will create index for you if you tell us your interested plants (j.an@qut.edu.au).
    Downloads: 1 This Week
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  • 6
    Abacus
    A tool for extracting and preprocessing spectral count data for label-free quantitative proteomic analysis. This program is designed to be used with the Trans-Proteomic Pipeline (TPP).
    Downloads: 0 This Week
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  • 7

    fast_count_multi

    Extremely fast NGS read counter

    Counts NGS read alignments against GTF annotations in a multithreaded and scalable fashion. Benchmark: 8 core 1M annotations for 2Gb sorted reads ~30 seconds compared to ~28 minutes for bedtools multicov. Files include: fast_count_multi - reports all counts and RPKM, multithreading support fast_count_deseq - reports gene counts in deseq compatible format, multithreading support fast_count - reports all counts with no multithreading support. usage ./fast_count_multi...
    Downloads: 0 This Week
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  • 8

    DimerRemover

    Remove adapter dimers from NGS data

    This program can be used to count or remove adapter dimers in fastq files. Using a provided adapter sequence, it generates variations of this sequence and stores them in a hash table. The reads can then be directly matched against the hash. It is far more time efficient than doing alignment.
    Downloads: 0 This Week
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  • 9
    Altrans

    Altrans

    Quantification of Splicing Events

    ...It requires a BAM alignment file from an RNA-seq experiment and an annotation file in GTF format detailing the location of the exons in the genome. It uses paired end reads where one mate maps to one exon and the other mate to a different exon and/or split reads spanning exon exon junctions to count “links” between two exons. When there are overlapping exons, these are grouped into “exon groups” and unique portions of each exon in an exon group are identified which are used when assigning reads to an exon. The link counts ascertained from unique regions are normalized with the probability of observing such a link given the insert size distribution which is referred to as link coverage. ...
    Downloads: 0 This Week
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  • 10
    Count and analyze Single Nucleotide Polymorphisms (SNP) from sequence data.
    Downloads: 0 This Week
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