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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.
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
http://bioconductor.org/packages/release/bioc/html/casper.html
Software to infer alternative splicing from paired-end RNA-seq data. The model is based on counting paths across exons, rather than pairwise exon connections, and estimates the fragment size and start distributions non-parametrically, which improves estimation precision.
Proper citation: casper (RRID:SCR_006613) Copy
http://www.bioconductor.org/packages/devel/bioc/html/ChIPXpress.html
A R package designed to improve ChIP-seq and ChIP-chip target gene ranking using publicly available gene expression data. It takes as input predicted transcription factor (TF) bound genes from ChIPx data and uses a corresponding database of gene expression profiles downloaded from NCBI GEO to rank the TF bound targets in order of which gene is most likely to be functional TF target.
Proper citation: ChIPXpress (RRID:SCR_006653) Copy
http://watson.nci.nih.gov/bioc_mirror/packages/2.11/bioc/html/EDASeq.html
Software for numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: EDASeq (RRID:SCR_006751) Copy
http://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html
Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.
Proper citation: ShortRead (RRID:SCR_006813) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/RIPSeeker.html
A statistical software package for identifying protein-associated transcripts from RIP-seq experiments. Infer and discriminate RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.
Proper citation: RIPSeeker (RRID:SCR_006810) Copy
http://bioconductor.org/packages/2.9/bioc/html/RamiGO.html
Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape.
Proper citation: RamiGO (RRID:SCR_006922) Copy
http://geneontology.org/docs/tools-overview/
Collection of tools developed by GO Consortium and by third parties. Tools are listed by category or alphabetically and continue to be improved and expanded.
Proper citation: Gene Ontology Tools (RRID:SCR_006941) Copy
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
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
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
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
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
http://www.bioconductor.org/packages/release/bioc/html/qvalue.html
R package that takes a list of p-values resulting from the simultaneous testing of hypotheses and estimates their q-values. It is designed to measure the proportion of false positives when a test is significant. The software is capable of generating plots for visualization. It can be applied to problems in genomics, brain imaging, astrophysics, and data mining.
Proper citation: Qvalue (RRID:SCR_001073) Copy
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
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
http://bioconductor.org/packages/release/bioc/html/MetaCyto.html
Software tool for automated meta-analysis of mass and flow cytometry data. Provides functions for preprocessing, automated gating and meta-analysis of cytometry data and collection of cytometry data from the ImmPort database.
Proper citation: MetaCyto (RRID:SCR_016415) Copy
https://www.bioconductor.org/packages/release/workflows/html/RnaSeqGeneEdgeRQL.html
Software to study analysis of an RNA-Seq experiment using the Rsubread and edgeR packages. The workflow starts from read alignment and continues on to data exploration, to differential expression and, finally, to pathway analysis. The analysis includes plots, GO and KEGG analyses, and the analysis of a expression signature as generated by a prior experiment.
Proper citation: RnaSeqGeneEdgeRQL (RRID:SCR_016699) Copy
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
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
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