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

Software that provides an integrated solution for the Illumina microarray data analysis.

Proper citation: lumi (RRID:SCR_012781) Copy   

•   Source: SciCrunch Registry

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

Software package that facilitates the primary analysis of ChIP-chip data.

Proper citation: Ringo (RRID:SCR_012973) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.ingenuity.com/products/pathways_analysis.html

A web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest.

Proper citation: Ingenuity Pathway Analysis (RRID:SCR_008653) Copy   

•   Source: SciCrunch Registry

http://www.pictar.org

An algorithm for the identification of microRNA targets. Details are provided (3' UTR alignments with predicted sites, links to various public databases etc) regarding: # microRNA target predictions in vertebrates (Krek et al, Nature Genetics 37:495-500 (2005)) # microRNA target predictions in seven Drosophila species (Grn et al, PLoS Comp. Biol. 1:e13 (2005)) # microRNA targets in three nematode species (Lall et al, Current Biology 16, 1-12 (2006)) # human microRNA targets that are not conserved but co-expressed (i.e. the microRNA and mRNA are expressed in the same tissue) (Chen and Rajewsky, Nat Genet 38, 1452-1456 (2006)) co-expressed targets

Proper citation: PicTar (RRID:SCR_003343) Copy   

•   Source: SciCrunch Registry

http://ceas.cbi.pku.edu.cn/index.html

Integrates many useful tools to simplify ChIP-chip analysis for biologists., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CEAS (RRID:SCR_010946) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.vub.ac.be/databases/databases.html

Downloadable data set designed to assess the performance of both multiple and pairwise (protein) sequence alignment algorithms, and is extremely easy to use. Currently, the database contains 2 sets, each consisting of a number of subsets with related sequences. It''s main features are: * Covers the entire known fold space (SCOP classification), with subsets provided by the ASTRAL compendium * All structures have high quality, with 100% resolved residues * Structure alignments have been derived carefully, using both SOFI and CE, and Relaxed Transitive Alignment * At most 25 sequences in each subset to avoid overrepresentation of large folds* Automated running, archiving and scoring of programs through a few Perl scripts The Twilight Zone set is divided into sequence groups that each represent a SCOP fold. All sequences within a group share a pairwise Blast e-value of at least 1, for a theoretical database size of 100 million residues. Sequence similarity is thus very low, between 0-25% identity, and a (traceable) common evolutionary origin cannot be established between most pairs even though their structures are (distantly) similar. This set therefore represents the worst case scenario for sequence alignment, which unfortunately is also the most frequent one, as most related sequences share less than 25% identity. The Superfamilies set consists of groups that each represent a SCOP superfamily, and therefore contain sequences with a (putative) common evolutionary origin. However, they share at most 50% identity, which is still challenging for any sequence alignment algorithm. Frequently, alignments are performed to establish whether or not sequences are related. To benchmark this, a second version of both the Twilight Zone and the Superfamilies set is provided, in which to each alignment problem a number of false positives, i.e. sequences not related to the original set, are added. Database specifications: * Current version: 1.65 (concurrent with PDB, SCOP and ASTRAL) * Twilight Zone set (with false positives): 209 groups, 1740 (3280) sequences, 10667 (44056) related pairs * Superfamilies set (with false positives): 425 groups, 3280 (6526) sequences, 19092 (79095) related pairs

Proper citation: SABmark (RRID:SCR_011817) Copy   

•   Source: SciCrunch Registry

http://www.biomoby.org/

The MOBY-S system defines an ontology-based messaging standard through which a client will be able to automatically discover and interact with task-appropriate biological data and analytical service providers, without requiring manual manipulation of data formats as data flows from one provider to the next. The BioMoby project was initiated in 2001 from within the model organism database community. It aimed to standardize methodologies to facilitate information exchange and access to analytical resources, using a consensus driven approach. Six years later, the BioMoby development community is pleased to announce the release of the 1.0 version of the interoperability framework, registry Application Programming Interface and supporting Perl and Java code-bases. Together, these provide interoperable access to over 1400 bioinformatics resources worldwide through the BioMoby platform, and this number continues to grow. Here we highlight and discuss the features of BioMoby that make it distinct from other Semantic Web Service and interoperability initiatives, and that have been instrumental to its deployment and use by a wide community of bioinformatics service providers. Sponsors: Funding was provided by Genome Prairie and Genome Alberta A Bioinformatics Platform for Genome Canada''; Canadian Institutes for Health Research; The Natural Sciences and Engineering Research Council of Canada; The Heart and Stroke Foundation for BC and Yukon; The EPSRC through the myGrid (GR/R67743/01, EP/C536444/1, EP/D044324/1, GR/T17457/01) e-Science projects; The Spanish National Institute for Bioinformatics (INB) through Fundacin Genoma Espaa; The Generation Challenge Programme (GCP; http://www.generationcp.org) of the Consultative Group for International Agricultural Research. :Keywords: Ontology, Messaging, Standard, Client, Automatically, Discovery, Biological, Data, ANalytical, Service, Model, Organism, Database, Java, Platform, Semantic, Bioinformatics,

Proper citation: BioMoby (RRID:SCR_013386) Copy   

•   Source: SciCrunch Registry

http://support.illumina.com/sequencing/sequencing_software/casava.html

Software package that creates genomic builds, calls SNPs, detects indels, and counts reads from data generated from one or more sequencing runs. In addition, CASAVA automatically generates a range of statistics, such as mean depth and percentage chromosome coverage, to enable comparison with previous builds or other samples. CASAVA analyzes sequencing reads in three stages: * FASTQ file generation and demultiplexing * Alignment to a reference genome * Variant detection and counting

Proper citation: CASAVA (RRID:SCR_001802) Copy   

•   Source: SciCrunch Registry

http://www-stat.stanford.edu/~tibs/SAM/

Software for genomic expression data mining using a statistical technique for finding significant genes in a set of microarray experiments.

Proper citation: SAM (RRID:SCR_010951) Copy   

•   Source: SciCrunch Registry

https://github.com/ElsevierSoftwareX/SOFTX-D-15-00082

Software PCA-based toolkit for compression and analysis of molecular simulation data. Used for compression and analysis of molecular dynamics (MD) simulation data.

Proper citation: pyPCcazip (RRID:SCR_024423) Copy   

•   Source: SciCrunch Registry

http://www.stata.com

Software package for statistical analysis and presentation of graphics. Statistical software for data science.

Proper citation: Stata (RRID:SCR_012763) Copy   

•   Source: SciCrunch Registry

https://gitlab.inria.fr/Phylophile/Treerecs

Open source, species and gene tree reconciliation software. Software integrated phylogenetic tool, from sequences to reconciliations. Used to correct, rearrange and reroot gene trees with regard to given species tree.

Proper citation: Treerecs (RRID:SCR_024497) Copy   

•   Source: SciCrunch Registry

http://www.maizegenetics.net/tassel

Software package which performs a variety of genetic analyses including association mapping, diversity estimation and calculating linkage disequilibrium. The association analysis between genotypes and phenotypes can be performed by either a general linear model or a mixed linear model. The general linear model now allows users to analyze complex field designs, environmental interactions, and epistatic interactions. The mixed model is specially designed to handle polygenic effects at multiple levels of relatedness including pedigree information. These new analyses should permit association analysis in a wide range plant and animal species. (entry from Genetic Analysis Software)

Proper citation: TASSEL (RRID:SCR_012837) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/Prime/

Software package that uses homology modeling and fold recognition to make protein structure predictions.

Proper citation: Prime (RRID:SCR_014887) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/glmnet/index.html

Procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. The algorithm uses cyclical coordinate descent in a path-wise fashion.

Proper citation: glmnet (RRID:SCR_015505) Copy   

•   Source: SciCrunch Registry

http://endnote.com

A software application which helps users build a bibliography as they write formatted papers, manuscripts and other research-rich documents. Users can search multiple databases and collect PDFs as references for papers, then organize them within EndNote. Bibliographies and citations can be compiled within Microsoft Word using built-in tools. Papers are stored within an EndNote library and can be shared with colleagues.

Proper citation: EndNote (RRID:SCR_014001) 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://github.com/Tarskin/LaCyTools

Software high throughput data extraction package for LC-MS data.Targeted Liquid Chromatography-Mass Spectrometry data processing package for relative quantitation of glycopeptides.

Proper citation: LaCyTools (RRID:SCR_024525) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=GOplot

Software R package for visually combining expression data with functional analysis.

Proper citation: GOplot (RRID:SCR_024419) Copy   

•   Source: SciCrunch Registry

https://CRAN.R-project.org/package=geepack

Software R package implements generalized estimating equations for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can handle clustered categorical responses. Used for fitting marginal generalized linear models to clustered data.

Proper citation: geepack (RRID:SCR_024510) Copy   

•   Source: SciCrunch Registry