Tools   Select Another Resource Report Type

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

Software package that helps with the assessment and correction of RNA degradation effects in Affymetrix 3' expression arrays. The parameter d gives a robust and accurate measure of RNA integrity. The correction removes the probe positional bias, and thus improves comparability of samples that are affected by RNA degradation.

Proper citation: AffyRNADegradation (RRID:SCR_000118) Copy   

•   Source: SciCrunch Registry

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

Software package to annotate variants, compute amino acid coding changes, and predict coding outcomes.

Proper citation: VariantAnnotation (RRID:SCR_000074) Copy   

•   Source: SciCrunch Registry

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

Software functions for data analysis and graphical displays for developmental microarray time course data.

Proper citation: timecourse (RRID:SCR_000077) Copy   

•   Source: SciCrunch Registry

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

Software package that provides netCDF storage based methods and functions for manipulation of flow cytometry data.

Proper citation: ncdfFlow (RRID:SCR_000009) Copy   

•   Source: SciCrunch Registry

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

A software package to combine flow cytometry data that has been multiplexed into multiple tubes with common markers between them. It establishes common bins across tubes in terms of the common markers, then determines expression within each tube for each bin in terms of the tube-specific markers.

Proper citation: flowBin (RRID:SCR_000051) Copy   

•   Source: SciCrunch Registry

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

Software package that provides tools to convert the output of segmentation analysis using DNAcopy to a matrix structure with overlapping segments as rows and samples as columns so that other computational analyses can be applied to segmented data.

Proper citation: CNTools (RRID:SCR_000281) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/h5vc.html

Software package that contains functions to interact with tally data from Next-Generation Sequencing (NGS) experiments that is stored in HDF5 files.

Proper citation: h5vc (RRID:SCR_006039) Copy   

•   Source: SciCrunch Registry

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

Software package that implements the remove unwanted variation (RUV) methods for the normalization of RNA-Seq read counts between samples.

Proper citation: RUVSeq (RRID:SCR_006263) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/IRanges/

Software tool for computing and annotating genomic ranges.Provides efficient low-level and highly reusable S4 classes for storing ranges of integers, RLE vectors (Run-Length Encoding), and, more generally, data that can be organized sequentially (formally defined as Vector objects), as well as views on these Vector objects. Efficient list-like classes are also provided for storing big collections of instances of the basic classes. All classes in the package use consistent naming and share the same rich and consistent Vector API as much as possible.

Proper citation: IRanges (RRID:SCR_006420) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.14/bioc/html/htSeqTools.html

Software tools for quality control, visualization and processing for High-Throughput Sequencing data. These include MDS plots (analogues to PCA), detecting inefficient immuno-precipitation or over-amplification artifacts, tools to identify and test for genomic regions with large accumulation of reads, and visualization of coverage profiles.

Proper citation: htSeqTools (RRID:SCR_006614) Copy   

•   Source: SciCrunch Registry

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

An R package for deconvolution of heterogeneous tissues based on mRNA-Seq data. It modeled expression levels from heterogeneous cell populations in mRNA-Seq as the weighted average of expression from different constituting cell types and predicted cell type proportions of single expression profiles.

Proper citation: DeconRNASeq (RRID:SCR_006713) Copy   

•   Source: SciCrunch Registry

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

Software package that allows the visualization of DNA methylation data after bisulfite sequencing.

Proper citation: methVisual (RRID:SCR_006705) Copy   

•   Source: SciCrunch Registry

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

Software package that provides utility functions to manage and analyse MS2/MS3 fragmentation data from ion trap mass spectrometry. It was designed for high throughput metabolomics data with many biological samples and a large numer of ion trees collected. Tests have been done with data from low-resolution mass spectrometry but could be readily extended to precursor ion based fragmentation data from high resoultion mass spectrometry.

Proper citation: iontree (RRID:SCR_002813) Copy   

•   Source: SciCrunch Registry

http://www.fhcrc.org/

Fred Hutchinson Cancer Research Center and Seattle Cancer Care Alliance (SCCA) have merged to form Fred Hutchinson Cancer Center, unified adult cancer research and care center. Independent, nonprofit organization is clinically integrated part of UW Medicine and is UW Medicine’s cancer program.

Proper citation: Fred Hutchinson Cancer Center (RRID:SCR_004984) Copy   

•   Source: SciCrunch Registry

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

Software package which provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.

Proper citation: topGO (RRID:SCR_014798) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/KEGGgraph/

Software R package interface between KEGG pathway and graph object as well as collection of tools to analyze, dissect and visualize these graphs.

Proper citation: KEGGgraph (RRID:SCR_023788) Copy   

•   Source: SciCrunch Registry

http://bios.unc.edu/~weisun/software/asSeq.htm

Software that establishes a statistical framework for future developments of eQTL (expression quantitative trait locus) mapping methods using RNA-seq data (e.g., linkage-based eQTL mapping), and the joint study of multiple genetic markers and/or multiple genes. This R package has been submitted to R/bioconductor. It will be available on bioconductor soon. It is recommended to install this R package from bioconductor. You can also install this R package from the source code by yourself. Since the R package contains C code, a C complier is required for installation. With both R and appropriate c complier installed, this R package can be installed using the following command (in Mac Terminal window or Windows command window) R CMD INSTALL asSeq

Proper citation: asSeq (RRID:SCR_001625) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages//2.7/bioc/html/plateCore.html

Software that provides basic S4 data structures and routines for analyzing plate based flow cytometry data.

Proper citation: plateCore (RRID:SCR_001743) Copy   

•   Source: SciCrunch Registry

https://scicrunch.org/resolver/SCR_002250

THIS RESOURCE IS NO LONGER IN SERVICE. Documented Jul 19, 2024. Metadatabase manually curated that provides web accessible tools related to genomics, transcriptomics, proteomics and metabolomics. Used as informative directory for multi-omic data analysis.

Proper citation: OMICtools (RRID:SCR_002250) Copy   

•   Source: SciCrunch Registry

http://bioinfo.cipf.es/noiseq/doku.php?id=start

Software used for the identification of differentially expressed genes from count data or previously normalized count data. It empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition. This reference distribution is then used to assess whether the M-D values computed between two conditions for a given gene is likely to be part of the noise or represent a true differential expression.

Proper citation: NOISeq (RRID:SCR_003002) Copy   

•   Source: SciCrunch Registry