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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://ccb.jhu.edu/software/glimmer/index.shtml

A software system for finding genes in microbial DNA, especially the genomes of bacteria, archaea, and viruses.

Proper citation: Glimmer (RRID:SCR_011931) Copy   

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http://vina.scripps.edu/

An open-source program for doing molecular docking.

Proper citation: AutoDock Vina (RRID:SCR_011958) Copy   

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http://mrbayes.sourceforge.net/

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on February 28,2023. Software program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models.

Proper citation: MrBayes (RRID:SCR_012067) Copy   

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http://biomedical.materialise.com/mimics

Software for medical image processing. Use Mimics for the segmentation of 3D medical images (coming from CT, MRI, microCT, CBCT, Ultrasound, Confocal Microscopy) and the result will be highly accurate 3D models of your patient''s anatomy. You can then use these patient-specific models for a variety of engineering applications directly in Mimics or 3-matic, or export the 3D models and anatomical landmark points to 3rd party software, like statistical, CAD, or FEA packages.

Proper citation: Mimics (RRID:SCR_012153) Copy   

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http://sift.bii.a-star.edu.sg/

Data analysis service to predict whether an amino acid substitution affects protein function based on sequence homology and the physical properties of amino acids. SIFT can be applied to naturally occurring nonsynonymous polymorphisms and laboratory-induced missense mutations. (entry from Genetic Analysis Software) Web service is also available.

Proper citation: SIFT (RRID:SCR_012813) Copy   

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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   

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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   

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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   

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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   

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https://cran.r-project.org/web/packages/dagitty/

Software R package provides access to all of the capabilities of DAGitty web application for drawing and analysing Directed Acyclic Graphs within the R platform for statistical computing. Used for graphical analysis of structural causal models.

Proper citation: DAGitty (RRID:SCR_024509) Copy   

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https://github.com/ekmolloy/fastmulrfs

Software pipeline for estimating species trees from multi copy gene trees.

Proper citation: FastMulRFS (RRID:SCR_024505) Copy   

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http://www.cs.cmu.edu/~durand/Notung/

Software package to facilitate large scale analysis, using both rooted and unrooted trees.Used for dating gene duplications and optimizing gene family trees.Used for inferring duplication dates from gene trees automatically and can also be used as exploratory analysis tool for evaluating alternative hypotheses.

Proper citation: NOTUNG (RRID:SCR_024484) Copy   

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

Software drawing R package designed for Manhattan plot of genomic analysis.

Proper citation: CMplot (RRID:SCR_024514) Copy   

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https://github.com/PoisonAlien/Maftools

Software R package offers multitude of analysis and visualization modules that are commonly used in cancer genomic studies, including driver gene identification, pathway, signature, enrichment, and association analyses. Maftools requires somatic variants in Mutation Annotation Format (MAF) and is independent of larger alignment files.

Proper citation: maftools (RRID:SCR_024519) Copy   

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http://srv00.recas.ba.infn.it/ASPicDB/

A database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.

Proper citation: ASPicDB (RRID:SCR_002102) Copy   

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http://www.scandb.org/newinterface/about.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: SCAN (RRID:SCR_005185) Copy   

•   Source: SciCrunch Registry

http://www.rna-society.org/rnalocate/

Web tool for RNA subcellular localizations analysis. RNALocate v2.0 is updated resource for RNA subcellular localization with increased coverage and annotation.

Proper citation: RNALocate (RRID:SCR_024418) Copy   

•   Source: SciCrunch Registry

http://www.cuilab.cn/sramp/

Software tool as computational predictor of mammalian m(6)A site. Used for prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.

Proper citation: SRAMP (RRID:SCR_024500) Copy   

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http://rna.tbi.univie.ac.at//cgi-bin/RNAWebSuite/RNAfold.cgi

Web server predict secondary structures of single stranded RNA or DNA sequences.

Proper citation: RNAfold (RRID:SCR_024427) Copy   

•   Source: SciCrunch Registry