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http://mayoresearch.mayo.edu/mayo/research/schaid_lab/software.cfm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software application to compute composite measures of linkage disequilibrium, their variances and covariances, and statistical tests, for all pairs of alleles from two loci when linkage phase is unkown. An extension of Weir and Cockerham (1989) to apply to multi-allelic loci. (entry from Genetic Analysis Software)

Proper citation: COMPOSITELD (RRID:SCR_013132) Copy   

•   Source: SciCrunch Registry

http://wpicr.wpic.pitt.edu/WPICCompGen/

Software application (entry from Genetic Analysis Software)

Proper citation: R/SPECTRAL-GEM (RRID:SCR_007414) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

Proper citation: Bioconductor (RRID:SCR_006442) Copy   

•   Source: SciCrunch Registry

https://nels.bioinfo.no

Web portal for the administration of Norwegian e-Infrastructure for Life Sciences. Enables Norwegian life scientists and their international collaborators to store, share, archive, and analyse their genomics scale data. NeLS is one of the packages of the ELIXIR.NO project.

Proper citation: NeLS (RRID:SCR_016301) Copy   

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https://kona.nhgri.nih.gov/mnemiopsis/

Portal to obtain genomic information on Mnemiopsis. Data available provide annotations and other key biological information not available elsewhere. Used to advance research projects aimed at understanding phylogenetic diversity and evolution of proteins that play fundamental role in metazoan development. Collection of sequenced, assembled, annotated, and performed preliminary analysis of genome of Mnemiopsis.

Proper citation: Mnemiopsis Genome Project Portal (RRID:SCR_018293) Copy   

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http://wpicr.wpic.pitt.edu/WPICCompGen/blocks.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software application aiming at identifying haplotype blocks. The likelihood of the data is calculated minus the model complexity. The resulting blocks have very low diversity and the linkage disequilibrium with SNP's outside the blocks is low. (entry from Genetic Analysis Software)

Proper citation: ENTROPY BLOCKER (RRID:SCR_000123) Copy   

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http://www.homozygositymapper.org/

A web-based approach of homozygosity mapping that can handle tens of thousands markers. User can upload their own SNP genotype files to the database. Intuitive graphic interface is provided to view the homozygous stretches, with the ability of zooming into single chromosomes or user-defined chromosome regions. The underlying genotypes in all samples are displayed. The software is also integrated with our candidate gene search engine, GeneDistiller, so that users can interactively determine the most promising gene. (entry from Genetic Analysis Software)

Proper citation: HOMOZYGOSITYMAPPER (RRID:SCR_001714) Copy   

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http://weatherby.genetics.utah.edu/cgi-bin/Phevor/PhevorWeb.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Tool that integrates phenotype, gene function, and disease information with personal genomic data for improved power to identify disease-causing alleles. It works by combining knowledge resident in multiple biomedical ontologies with the outputs of variant prioritization tools. It does so using an algorithm that propagates information across and between ontologies. This process enables Phevor to accurately reprioritize potentially damaging alleles identified by variant prioritization tools in light of gene function, disease, and phenotype knowledge. Phevor is especially useful for single exome and family trio-based diagnostic analyses, the most commonly occurring clinical scenarios, and ones for which existing personal-genomes diagnostic tools are most inaccurate and underpowered. Phevor not only improves diagnostic accuracy for individuals presenting with established disease phenotypes, but also for those with previously undescribed and atypical disease presentations. Importantly, Phevor is not limited to known diseases, or known disease-causing alleles.

Proper citation: Phevor (RRID:SCR_002273) Copy   

•   Source: SciCrunch Registry

http://eyegene.ophthy.med.umich.edu/madeline/

Software tool designed for preparing, visualizing, and exploring human pedigree data used in genetic linkage studies. It converts pedigree and marker data into formats required by popular linkage analysis packages, provides powerful ways to query pedigree data sets, and produces Postscript pedigree drawings that are useful for rapid data review.

Proper citation: MADELINE (RRID:SCR_001979) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/expressionprofiler/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The EP:GO browser is built into EBI's Expression Profiler, a set of tools for clustering, analysis and visualization of gene expression and other genomic data. With it, you can search for GO terms and identify gene associations for a node, with or without associated subnodes, for the organism of your choice.

Proper citation: Expression Profiler (RRID:SCR_005821) Copy   

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http://chgr.mc.vanderbilt.edu/page/gist

Software package to test if a marker can account in part for the linkage signal in its region. There are two versions of the software: Windows and Linux/Unix.

Proper citation: Genotype-IBD Sharing Test (RRID:SCR_006257) Copy   

•   Source: SciCrunch Registry

http://genetrail.bioinf.uni-sb.de/

A web-based application that analyzes gene sets for statistically significant accumulations of genes that belong to some functional category. Considered category types are: KEGG Pathways, TRANSPATH Pathways, TRANSFAC Transcription Factor, GeneOntology Categories, Genomic Localization, Protein-Protein Interactions, Coiled-coil domains, Granzyme-B clevage sites, and ELR/RGD motifs. The web server provides two statistical approaches, "Over-Representation Analysis" (ORA) comparing a reference set of genes to a test set, and "Gene Set Enrichment Analysis" (GSEA) scoring sorted lists of genes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GeneTrail (RRID:SCR_006250) Copy   

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http://www.cpgr.org.za

Services to life science and biotech communities in South Africa. Based in Cape Town, combine information about genomic and proteomic technologies with bio computational pipelines to create fit for purpose offerings for customers in academia and industry.

Proper citation: University of Cape Town Centre for Proteomic and Genomic Research (CPGR) Core Facility (RRID:SCR_017158) Copy   

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https://mugenomicscore.missouri.edu/

Core research facility providing services in high-throughput DNA sequencing that includes staff experience in the construction of libraries for targeted amplicons, miRNA analysis, transcriptome profiling (RNA-Seq), whole exome sequencing (WES), epigenomic and genomic DNA analysis. Services in single cell library preparation are available using the 10x Genomics Chromium X system. In addition, spatial transcriptomics services using Visium HD arrays are provided. The GTC maintain and operate Illumina sequencing platforms; NovaSeq X Plus and MiSeq i100 instruments.

Proper citation: University of Missouri Genomics Technology Core Facility (RRID:SCR_017778) Copy   

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https://genome.duke.edu/cores-and-services/sequencing-and-genomic-technologies

Basic research oriented core provides genomic services.Services include Next Generation Sequencing Solutions,DNA and RNA sequencing, Illumina, PacBio, NGS Library preparation including single-cell RNA-seq, Nucleic Acid Extraction Services, total RNA extraction from blood samples in PAXgene tubes, total RNA extractions from cell pellets and miRNA extraction from serum/plasma.

Proper citation: Duke University Sequencing and Genomic Technologies Core Facility (RRID:SCR_017748) Copy   

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http://dmpi.duke.edu/molecular-genomics-shared-resource

Core offers variety of experimental platforms to facilitate genomics research. Accredited as Duke Shared Resource facility offers experience with genetic, genomic and epigenomic study design and technology, working closely with researchers to customize experiments to meet their needs. Applications include 10x Genomics NGS library generation for both single cell and gDNA experiments, DNA methylation microarrays, SNP genotyping and copy number microarrays, and Taqman targeted SNP genotyping.

Proper citation: Duke University Molecular Genomics Core Facility (RRID:SCR_017860) Copy   

•   Source: SciCrunch Registry

https://escore.ucsf.edu/

Core provides ES cell services with high probability of germline transmission. Offers ES cell targeting, genomic DNA extraction from 96-well plates, expansion of targeted ES cells, chromosome counts, and preparation of ES cells for microinjection.Prior to initiation of project, consultation is available on entire procedures of generating knockout mice. Core works with Gladstone Transgenic Gene Targeting Core for your microinjections to deliver full-range gene targeting service;CRISPR gRNA cloning,Cell-based functional test to identify best-performing TALENs or sgRNAs for your gene-editing experiment via mismatch-based assays such as Surveyor or T7E1;In vitro RNA synthesis - can help to make RNAs for your zygote injection or RNA transfection. We have TALEN and Cas9 plasmids with either T7 or T3 promoter subcloned in for efficient in vitro synthesis.sgRNAs for CRISPR can be synthesized off T7-sgRNA PCR product. Quality of synthesized RNAs will be checked via bioanalyzer;Custom TALEN to make double-strand breaks in genome;ES cell targeting (feeder-independent).Investigators targeting construct will be electroporated by core personnel. We have two feeder-independent ES cell lines, E14 (129-derived) and JM8A3.N1 (C57BL/6-derived) you can choose from. After drug selection for about one week, up to 300 colonies will be picked. When they are about to be confluent, we will split them as duplicate, one master plate to freeze for future expansion of positive clones and one plate for genotyping to identify targeted ES cell clones. Your plates for genotyping will be ready for pick-up 2-3 weeks after electroporation date.Genomic DNA extraction from ES cells on 96-well plate;Expansion of targeted clones from core targeting (up to 5 clones),A maximum of 5 positive clones will be thawed from 96-well plates and expanded to 6-wells. We will freeze 5 vials (each about 1 million)/clone for future use and give you 1 vial-equivalent cells to validate your genotyping before injection. It takes about 10 days to expand and freeze down cells;Expansion of ES cells from outside resources (per clone) Investigators provide one vial of frozen ES cells with information about culture condition from original resource. We will revive, nurture, and refreeze ES cells (5 vials) when they are ready. In addition, we will give you 1~2 million cells for your genotyping verification;Preparation for microinjection;Chromosome counting;Custom services.

Proper citation: University of California at San Francisco Embryonic Stem Cell Targeting Core Facility (RRID:SCR_017902) Copy   

•   Source: SciCrunch Registry

https://www.bi.vt.edu/services/genomics-sequencing-center

Core for development and application of Next-Generation Sequencing technologies. Provides experimental design consultation, and genomic, transcriptomic, and functional-genomics services. Specializes in development and application of Next-Generation Sequencing technologies and bioinformatics analyses. Instruments include Illumina NovaSeq 6000, Illumina NextSeq 500,Illumina MiSeq,Thermo Ion S5. Services include mRNA-Seq: Stranded and non-stranded, high levels of multiplexing up to 96 or more samples on NovaSeq;Standard amounts, Stranded-Seq: 500 ng total RNA, RIN 8;Low Input amounts, Stranded-Seq: 5 ng to 100 ng total RNA;Ultra Low Input amounts, Non-Stranded-Seq: 1-1000 cells or 10 pg - 10 ng;Total RNA-Seq - Stranded: 5-250 ng;Small RNA-Seq: 1 ug, multiplexing up to 48 samples/NextSeq run;Partially degraded samples - Stranded and Non-Stranded: LCM, FFPE samples, both stranded and non-stranded, 50 -100 ng;Microbial rRNA depletion and RNA-Seq with amounts as low as 1-5 ug of total RNA;Whole Genome Sequencing;Human / Animal / Plant;Microbial;As low as 1 ng De novo Sequencing;Exome/Targeted capture re-sequencing: Enables high sequencing depths;Agilent and Illumina platforms;Human, Mouse, Canine and other species;Targeted re-sequencing: High levels of multiplexing up to 200 samples / MiSeq run;PCR Amplicon sequencing;Illumina and Agilent platforms;ChIP-Seq;Transcription factor analysis;Histone modifications;DNA Methylation;MeDIP- and MBD-Seq;MethylC-Seq;Agilent SureSelect MethylC-Seq;Nucleosome Mapping;FAIRE-Seq and DNAse I-Seq;16S / 18S / ITS amplicon sequencing;Whole Genome Metagenomic sequencing;Metatranscriptomic analysis;DNA/chromatin fragmentation by Covaris DNA / RNA quality analysis: BioAnalyzer / TapeStation assay, Qubit (Picogreen) assays;qPCR services.

Proper citation: Virginia Tech Biocomplexity Institute Genomics Sequencing Center Core Facility (RRID:SCR_017958) Copy   

•   Source: SciCrunch Registry

http://cqls.oregonstate.edu/

Formerly Center for Genome Research and Biocomputing Core Facility. Functions and facilities include services in genomics, functional genomics, genotyping and imaging.Biocomputing facilities with computing infrastructure, which includes managed cloud and shared resources, data analyses and training are customized to individual needs, including genome assembly and annotation, analysis of RNAseq, GBS, and metagenomics data, and GPU-enabled deep learning analyses.

Proper citation: Oregon State University Center for Quantitative Life Sciences Core Facility (RRID:SCR_018373) Copy   

•   Source: SciCrunch Registry

http://mendel.stanford.edu/SidowLab/downloads/gerp/

Software that identifies constrained elements in multiple alignments by quantifying substitution deficits. These deficits represent substitutions that would have occurred if the element were neutral DNA, but did not occur because the element has been under functional constraint. We refer to these deficits as Rejected Substitutions. Rejected substitutions are a natural measure of constraint that reflects the strength of past purifying selection on the element. GERP estimates constraint for each alignment column; elements are identified as excess aggregations of constrained columns. A false-positive rate (which is user-settable) is calculated using "shuffled" alignments in which the order of columns is randomized., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: GERP (RRID:SCR_000563) Copy   

•   Source: SciCrunch Registry