Tools   Select Another Resource Report Type

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

Software that provides probabilistic base calling, quality checks and diagnostic plots for Solexa sequencing data.

Proper citation: Rolexa (RRID:SCR_013017) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.12/bioc/html/cn.mops.html

A data processing pipeline for copy number variations and aberrations (CNVs and CNAs) from next generation sequencing (NGS) data.

Proper citation: cn.mops (RRID:SCR_013036) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages//2.10/bioc/html/HiTC.html

Software package to explore high-throughput ''C'' data such as 5C or Hi-C.

Proper citation: HiTC (RRID:SCR_013175) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.9/bioc/html/Repitools.html

Software tools for the analysis of enrichment-based epigenomic data.

Proper citation: Repitools (RRID:SCR_013242) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages//2.10/bioc/html/CancerMutationAnalysis.html

Software package that implements gene and gene-set level analysis methods for somatic mutation studies of cancer.

Proper citation: CancerMutationAnalysis (RRID:SCR_013181) Copy   

•   Source: SciCrunch Registry

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

Software for analysis of array CGH data: detection of breakpoints in genomic profiles and assignment of a status (gain, normal or loss) to each chromosomal regions identified.

Proper citation: GLAD (RRID:SCR_001284) Copy   

•   Source: SciCrunch Registry

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

Software package for the integrative analysis of microarray based gene expression and histone modification data obtained by ChIP-seq. The package provides methods for data preprocessing and matching as well as methods for fitting bayesian mixture models in order to detect genes with differences in both data types.

Proper citation: epigenomix (RRID:SCR_006407) Copy   

•   Source: SciCrunch Registry

https://github.com/hemberg-lab/scmap

Software tool for unsupervised projection of single cell RNA-seq data. Used for projecting cells from scRNA-seq data set onto cell types or individual cells from other experiments.

Proper citation: Scmap (RRID:SCR_017338) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://github.com/mikelove/tximport

Software R package for importing pseudoaligned reads into R for use with downstream differential expression analysis. Used for import and summarize transcript level estimates for transcript and gene level analysis.

Proper citation: tximport (RRID:SCR_016752) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages/release/bioc/html/MetaNeighbor.html

Software package to assess cell type identity using both functional and random gene sets. Used for single cell replicability analysis to quantify cell type replicability across datasets using neighbor voting.

Proper citation: MetaNeighbor (RRID:SCR_016727) Copy   

•   Source: SciCrunch Registry

https://github.com/howisonlab/softcite-dataset

Gold standard dataset of software mentions in research publications. Provides dataset of annotated software mentions from full text academic literature in biomedicine and economics directly converted from published PDFs with reproducible infrastructure. Includes provenance, and is formatted for immediately usefulness in NLP. Useful for supervised learning at scale.

Proper citation: SoftCite (RRID:SCR_024411) Copy   

•   Source: SciCrunch Registry

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

Software package for the analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; conventional 96- or 384-well plates; or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Proper citation: HTqPCR (RRID:SCR_003375) Copy   

•   Source: SciCrunch Registry

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

Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.

Proper citation: nondetects (RRID:SCR_001702) Copy   

•   Source: SciCrunch Registry

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

Workflow software to process tandem MS files and build MassBank records. Functions include automated extraction of tandem MS spectra, formula assignment to tandem MS fragments, recalibration of tandem MS spectra with assigned fragments, spectrum cleanup, automated retrieval of compound information from Internet databases, and export to MassBank records.

Proper citation: RMassBank (RRID:SCR_002797) Copy   

•   Source: SciCrunch Registry

http://imlspenticton.uzh.ch:3838/CATALYSTLite/

Software tool as interactive Shiny web application that provides user interface to mass cytometry data processing pipeline implemented in CATALYST R Bioconductor package.

Proper citation: CATALYSTLite (RRID:SCR_017126) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/EGSEA/

Method developed for RNA-sequencing data. EGSEA combines results from twelve algorithms and calculates collective gene set scores to improve the biological relevance of the highest ranked gene sets.

Proper citation: EGSEA (RRID:SCR_015036) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/microbiome/

Software R package for use in microbiome analysis. Used to provide comprehensive collection of tools and tutorials, with particular focus on amplicon sequencing data.

Proper citation: microbiome (RRID:SCR_024699) Copy   

•   Source: SciCrunch Registry

http://www.geneontology.org/

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

Proper citation: Gene Ontology (RRID:SCR_002811) Copy   

•   Source: SciCrunch Registry

http://www.imexconsortium.org/

Interaction database from international collaboration between major public interaction data providers who share curation effort and develop set of curation rules when capturing data from both directly deposited interaction data or from publications in peer reviewed journals. Performs complete curation of all protein-protein interactions experimentally demonstrated within publication and makes them available in single search interface on common website. Provides data in standards compliant download formats. IMEx partners produce their own separate resources, which range from all encompassing molecular interaction databases, such as are maintained by IntAct, MINT and DIP, organism-centric resources such as BioGrid or MPIDB or biological domain centric, such as MatrixDB. They have committed to making records available, via PSICQUIC webservice, which have been curated to IMEx rules and are available to users as single, non-redundant set of curated publications which can be searched at the IMEx website. Data is made available in standards-compliant tab-deliminated and XML formats, enabling to visualize data using wide range of tools. Consortium is open to participation of additional partners and encourages deposition of data, prior to publication, and will supply unique accession numbers which may be referenced within final article. Submitters may send their data directly to any of member databases using variety of formats, but should conform to guidelines as to minimum information required to describe data.

Proper citation: IMEx - The International Molecular Exchange Consortium (RRID:SCR_002805) Copy   

•   Source: SciCrunch Registry