Showing 3 open source projects for "vs"

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    Crosshub

    Multi-way analysis of The Cancer Genome Atlas (TCGA) project datasets

    Crosshub enables multi-way analysis of RNA-Seq, miRNA-Seq and methylome data of The Cancer Genome Atlas (TCGA) project: 1. differential expression analysis (genes, alternative transcripts and miRNA) 2. regulatory miRNA prediction (TargetScan, DIANA microT, mirSVR, PicTar, miRTarBase + co-expression) 3. regulatory TF prediction (ENCODE ChIP-Seq + co-expression) 4. methylation profiling analysis 5. RNA-Seq vs. clinical (TNM, stage, follow-up) correlation analysis Generates Excel summaries. For details, see the manual or article G.S. Krasnov et al. NAR 2016, Pubmed ID: 26773058
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  • 2

    MendelChecker

    QC for variant discovery from next gen sequence in pedigrees

    ...We developed this method as a quality control measure for novel variant discovery from noisy next-generation sequencing data in pedigrees, such as Restriction site-associated DNA Sequencing (RAD-seq) in non-model organisms. This method implements comparison of heterogametic vs. homogametic transmission, i.e., sex linked vs. autosomal segregation.
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  • 3

    RNAseqR

    RNA-seq expression analysis tool

    ...Output allows for decisions based on CDF probabilities, top R values, or comparison of R values with randomized data. Comparisons are the believability metric of Stekel et al, or observed vs expected R at a given mean expression. Randomization is through Poisson or negative binomial distributions, or column shuffling.
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