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https://bioconductor.org/packages/release/bioc/html/AnnotationHub.html

Software R package to provide a client for the Bioconductor AnnotationHub web resource. AnnotationHub web resource provides a central location where genomic files (e.g., VCF, bed, wig) and other resources from standard locations (e.g., UCSC, Ensembl) can be discovered.

Proper citation: AnnotationHub (RRID:SCR_024227) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/hypergraph/

Software R package that implements some simple capabilities for representing and manipulating hypergraphs.

Proper citation: hypergraph (RRID:SCR_024240) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/HTSFilter/

Software R package implements filtering procedure for replicated transcriptome sequencing data based on global Jaccard similarity index in order to identify genes with low, constant levels of expression across one or more experimental conditions.

Proper citation: htsfilter (RRID:SCR_024242) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/MultiAssayExperiment.html

Software R package to harmonize data management of multiple experimental assays performed on overlapping set of specimens.Provides user experience by extending concepts from SummarizedExperiment, supporting open-ended mix of standard data classes for individual assays, and allowing subsetting by genomic ranges or rownames. Facilities are provided for reshaping data into wide and long formats for adaptability to graphing and downstream analysis.

Proper citation: multiassayexperiment (RRID:SCR_024245) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/release/bioc/html/MutationalPatterns.html

Software R package provides set of flexible functions to evaluate and visualize multitude of mutational patterns in base substitution catalogues of e.g. healthy samples, tumour samples, or DNA-repair deficient cells.

Proper citation: mutationalpatterns (RRID:SCR_024247) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/groHMM/

Software R package for analysis of GRO-seq data. Used for identifying unannotated and cell type-specific transcription units from global run-on sequencing data

Proper citation: groHMM (RRID:SCR_024237) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/genefilter/

Software R package provides some basic functions for filtering genes.

Proper citation: genefilter (RRID:SCR_024238) Copy   

•   Source: SciCrunch Registry

https://github.com/denglab/SeqSero

Software pipeline for Salmonella serotype determination from raw sequencing reads or genome assemblies.

Proper citation: seqsero (RRID:SCR_024333) Copy   

•   Source: SciCrunch Registry

https://synonym.caltech.edu/software/sbmltoolbox/

Software toolbox provides set of basic functions allowing SBML models to be used in both MATLAB and Octave.

Proper citation: sbmltoolbox (RRID:SCR_024329) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/package=tigger

Software R package infers V genotype of individual from immunoglobulin repertoire sequencing data like AIRR-Seq, Rep-Seq. Includes detection of any novel alleles. This information is then used to correct existing V allele calls from among sample sequences.

Proper citation: tigger (RRID:SCR_024310) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/package=wavethresh

Software R package to perform 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.

Proper citation: wavethresh (RRID:SCR_024311) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/package=WebGestaltR

Software R package to support gene set enrichment analysis, network topology analysis.Can be integrated into other pipeline or simultaneously analyze multiple gene lists. The user-friendly output report allows interactive and efficient exploration of enrichment results.

Proper citation: webgestaltr (RRID:SCR_024312) Copy   

•   Source: SciCrunch Registry

https://bioruby.org/

Software tools and libraries for bioinformatics and molecular biology, for the Ruby programming language. BioRuby has components for sequence analysis, pathway analysis, protein modelling and phylogenetic analysis; it supports many widely used data formats and provides easy access to databases, external programs and public web services, including BLAST, KEGG, GenBank, MEDLINE and GO.

Proper citation: ruby-bio (RRID:SCR_024322) Copy   

•   Source: SciCrunch Registry

https://github.com/ggonnella/rgfa

Ruby library for handling GFA files.

Proper citation: rgfa (RRID:SCR_024323) Copy   

•   Source: SciCrunch Registry

http://www-personal.umich.edu/~jianghui/rseq/

A software toolkit for RNA sequence data analysis. It contains programs that cover several aspects of RNA-Seq data analysis such as read quality assessment, reference sequence generation, sequence mapping, and gene and isoform expressions estimations.

Proper citation: rSeq (RRID:SCR_000562) Copy   

•   Source: SciCrunch Registry

https://github.com/rrwick/Unicycler

Software assembly pipeline for bacterial genomes. Used for resolving bacterial genome assemblies from short and long sequencing reads. Can assemble Illumina only read sets where it functions as SPAdes-optimiser. Can assembly long read only sets for PacBio or Nanopore where it runs miniasm+Racon pipeline.

Proper citation: Unicycler (RRID:SCR_024380) Copy   

•   Source: SciCrunch Registry

https://github.com/dib-lab/sourmash

Software library for MinHash sketching of DNAsearch. Used to compare and analyze genomic and metagenomic data sets.

Proper citation: sourmash (RRID:SCR_024347) Copy   

•   Source: SciCrunch Registry

http://tab2mage.sourceforge.net/

Software package written and supported by ArrayExpress curation team, which aims to ease the process of submitting large microarray experiment datasets to our public repository database.

Proper citation: tab2mage (RRID:SCR_024359) Copy   

•   Source: SciCrunch Registry

http://blocks.fhcrc.org/codehop.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.Service to design PCR primers from protein multiple sequence alignments. NOTICE: This version of CODEHOP is no longer maintained.

Proper citation: CODEHOP (RRID:SCR_002898) Copy   

•   Source: SciCrunch Registry

https://services.healthtech.dtu.dk/services/DictyOGlyc-1.1/

Server that produces neural network predictions for GlcNAc O-glycosylation sites in Dictyostelium discoideum proteins.

Proper citation: DictyOGlyc (RRID:SCR_001600) Copy   

•   Source: SciCrunch Registry