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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

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On page 1 showing 1 ~ 20 out of 353 results
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  • RRID:SCR_000075

http://www.bioconductor.org/packages/release/bioc/html/ReQON.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for recalibrating the base quality scores for aligned sequencing data in BAM format.

Proper citation: ReQON (RRID:SCR_000075) Copy   


  • RRID:SCR_000025

    This resource has 50+ mentions.

http://www.bioconductor.org/packages/2.13/bioc/html/GenomicRanges.html

Software package that defines general purpose containers for storing genomic intervals as well as more specialized containers for storing alignments against a reference genome.

Proper citation: GenomicRanges (RRID:SCR_000025) Copy   


  • RRID:SCR_000146

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/GEOquery.html

Software that establishes a bridge between GEO and BioConductor.

Proper citation: GEOquery (RRID:SCR_000146) Copy   


  • RRID:SCR_000046

http://www.bioconductor.org/packages/release/bioc/html/flowCL.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for semantic labelling of flow cytometric cell populations.

Proper citation: flowCL (RRID:SCR_000046) Copy   


  • RRID:SCR_000101

http://www.bioconductor.org/packages/release/data/annotation/html/RmiR.Hs.miRNA.html

Software package for various databases of microRNA Targets.

Proper citation: RmiR.Hs.miRNA (RRID:SCR_000101) Copy   


  • RRID:SCR_000194

http://www.bioconductor.org/packages/release/bioc/html/HEM.html

Software package that fits heterogeneous error models for analysis of microarray data

Proper citation: HEM (RRID:SCR_000194) Copy   


  • RRID:SCR_000154

    This resource has 500+ mentions.

http://bioconductor.org/packages/release/bioc/html/DESeq.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.

Proper citation: DESeq (RRID:SCR_000154) Copy   


  • RRID:SCR_000184

http://www.bioconductor.org/packages/release/bioc/html/MIMOSA.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

Proper citation: MIMOSA (RRID:SCR_000184) Copy   


  • RRID:SCR_005394

    This resource has 50+ mentions.

http://www.bioconductor.org/packages/2.12/bioc/html/PING.html

Software program for probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.

Proper citation: PING (RRID:SCR_005394) Copy   


  • RRID:SCR_005702

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/devel/bioc/html/DMRforPairs.html

Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance.

Proper citation: DMRforPairs (RRID:SCR_005702) Copy   


  • RRID:SCR_005724

    This resource has 10+ mentions.

http://bioconductor.org/packages/devel/bioc/html/SeqGSEA.html

Software package that provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively.

Proper citation: SeqGSEA (RRID:SCR_005724) Copy   


  • RRID:SCR_006214

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/devel/bioc/html/deepSNV.html

Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants).

Proper citation: deepSNV (RRID:SCR_006214) Copy   


  • RRID:SCR_003200

    This resource has 100+ mentions.

http://www.sysbio.se/piano/

Software R-package for running gene set analysis using various statistical methods, from different gene level statistics and a wide range of gene-set collections. The Piano package contains functions for combining the results of multiple runs of gene set analyses.

Proper citation: Piano (RRID:SCR_003200) Copy   


  • RRID:SCR_003396

    This resource has 100+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/ddCt.html

Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions.

Proper citation: ddCt (RRID:SCR_003396) Copy   


  • RRID:SCR_003313

    This resource has 10+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/ggbio.html

An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.

Proper citation: ggbio (RRID:SCR_003313) Copy   


  • RRID:SCR_003292

    This resource has 50+ mentions.

http://www.bioconductor.org/packages/devel/bioc/html/OmicCircos.html

An R software application and package used to generate high-quality circular plots for visualizing genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.

Proper citation: OmicCircos (RRID:SCR_003292) Copy   


  • RRID:SCR_010943

    This resource has 10000+ mentions.

http://bioinf.wehi.edu.au/limma/

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

Proper citation: LIMMA (RRID:SCR_010943) Copy   


  • RRID:SCR_001350

http://www.bioconductor.org/packages/release/bioc/html/macat.html

Software library that contains functions to investigate links between differential gene expression and the chromosomal localization of the genes. It is motivated by the common observation of phenomena involving large chromosomal regions in tumor cells. MACAT is the implementation of a statistical approach for identifying significantly differentially expressed chromosome regions.

Proper citation: MACAT (RRID:SCR_001350) Copy   


  • RRID:SCR_001354

http://www.bioconductor.org/packages/release/bioc/html/nnNorm.html

Software package that allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.

Proper citation: nnNorm (RRID:SCR_001354) Copy   


  • RRID:SCR_001348

    This resource has 1+ mentions.

http://www.bioconductor.org/packages/release/bioc/html/maCorrPlot.html

Software that graphically displays correlation in microarray data that is due to insufficient normalization.

Proper citation: maCorrPlot (RRID:SCR_001348) Copy   



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