Showing 12 open source projects for "regular expression tool"

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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: 11 This Week
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  • 2
    ChIP-RNA-seqPRO

    ChIP-RNA-seqPRO

    ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)

    ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic,...
    Downloads: 0 This Week
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  • 3
    A Tool for Retrieval, Visualization and Analysis of biological Pathways. Import a Gene or Protein Set from any Excel file. Automatically find signaling Pathways from KEGG. Integrate your Data in Seconds with a live interactive Force-directed Layout.
    Downloads: 1 This Week
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  • 4
    miRNA Temporal Analyzer (mirnaTA)

    miRNA Temporal Analyzer (mirnaTA)

    Differential expression analysis tool for miRNAs in temporal studies

    The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the...
    Downloads: 0 This Week
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  • 5
    Katsura: Metabolic Pathway Analysis Tool
    The Katsura tool overlays microarray gene expression data, proteomics, and similar biological data onto metabolic pathways. [Pathogen Functional Genomics Resource Center (PFGRC) @ J. Craig Venter Institute (JCVI)]
    Downloads: 1 This Week
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  • 6
    Genome Expression Pathway Analysis Tool - Analysis and Visualization of Microarray Gene Expression Data under Genomic, Proteomic and Metabolic Context
    Downloads: 0 This Week
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  • 7
    dna2abc turns DNA sequences into musical sequences. The key feature is the rule editor; a rule is a regular expression paired with a Tcl script. dna2abc scans a DNA sequence, testing each regular expression: if it matches, the Tcl script is run.
    Downloads: 0 This Week
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  • 8
    Cellogica is a cellular logic analysis tool. It incorporates sequential logic and finite state machine to elucidate the relationship between transcription factors and corresponding gene expression.
    Downloads: 0 This Week
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  • 9
    Perl Entrez Gene Parser project provides Perl parsers for NCBI's Entrez Gene based on regular expression, Parse::RecDescent, Parse::Yapp and Perl-byacc. Some can parse human genome annotations in minutes. Documentation and user guides are provided.
    Downloads: 0 This Week
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  • 10
    Maple Tree is a Java based visualization tool used by researchers in the biological sciences to visualize and graphically browse the results of analyses of gene expression data collected from microarray experiments.
    Downloads: 2 This Week
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  • 11
    EPTable is a simple web-based tool to analyze microarray gene expression profiles with additional gene profiles.
    Downloads: 0 This Week
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  • 12
    BIRBU (BIological Relationship BUilder) is a Java tool for microarray gene expression data analysis. BIRBU identifies biologically significant relationship between genes using microarray data and prior knowledge on relationships between genes.
    Downloads: 0 This Week
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