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http://www.sanger.ac.uk/resources/software/evoker/

A graphical tool for visualizing genotype intensity data in order to assess genotype calls as part of quality control procedures for genome-wide association studies. It provides a solution to the computational and storage problems related to being able to work with the huge volumes of data generated by such projects by implementing a compact, binary format that allows rapid access to data, even with hundreds of thousands of observations. (entry from Genetic Analysis Software)

Proper citation: EVOKER (RRID:SCR_009145) Copy   

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http://www.stat.auckland.ac.nz/~browning/ccrel/ccrel.htm

Software program for case-control genetic analysis that takes relatedness between individuals into account. It will perform single-marker and haplotypic tests, however it will only work with SNP or other biallelic markers. (entry from Genetic Analysis Software)

Proper citation: CCREL (RRID:SCR_009142) Copy   

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http://toxodb.org/toxo/

A genome and functional genomic database for the protozoan parasite Toxoplasma gondii. It incorporates the sequence and annotation of the T. gondii ME49 strain, as well as genome sequences for the GT1, VEG and RH (Chr Ia, Chr Ib) strains. Sequence information is integrated with various other genomic-scale data, including community annotation, ESTs, gene expression and proteomics data. Organisms * Toxoplasma gondii (ME49, RH, GT1, Veg strains) * Neospora caninum * environmental isolate sequences from numerous species Tools * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Toxoplasma, Neospora Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * Ancillary Genome Browse: Access Additional info like Probeset data and Toxoplasma Array info

Proper citation: ApiDB ToxoDB (RRID:SCR_013453) Copy   

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http://www.informatics.jax.org/genes.shtml

Searchable database of mouse genes, DNA segments, cytogenetic markers and QTLs. MGI provides access to integrated data on mouse genes and genome features, from sequences and genomic maps to gene expression and disease models.

Proper citation: Genes, Genome Features and Maps (RRID:SCR_017524) Copy   

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http://mrna.otago.ac.nz/

Database that provides access to mRNA sequences and associated regulatory elements that were processed from Genbank. These mRNA sequences include complete genomes, which are divided into 5-prime UTRs, 3-prime UTRs, initiation sequences, termination regions and full CDS sequences. This data can be searched for a range of properties including specific mRNA sequences, mRNA motifs, codon usage, RSCU values, information content, etc.

Proper citation: Transterm (RRID:SCR_008244) Copy   

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http://www.primervfx.com/#welcome

PrimerParadise is an online PCR primer database for genomics studies. The database contains predesigned PCR primers for amplification of exons, genes and SNPs of almost all sequenced genomes. Primers can be used for genome-wide projects (resequencing, mutation analysis, SNP detection etc). The primers for eukaryotic genomes have been tested with e-PCR to make sure that no alternative products will be generated. Also, all eukaryotic primers have been filtered to exclude primers that bind excessively throughout the genome. Genes are amplified as amplicons. Amplicons are defined as only one genes exons containing maximaly 3000 bp long dna segments. If gene is longer than 3000 bp then it is split into the segments at length 3000 bp. So for example gene at length 5000 bp is split into two segment and for both segments there were designed a separate primerpair. If genes exons length is over 3000 bp then it is split into amplicons as well. Every SNP has one primerpair. In addition of considering repetitive sequences and mono-dinucleotide repeats, we avoid designing primers to genome regions which contain other SNPs. -There are two ways to search for primers: you can use features IDs ( for SNP primers Reference ID, for gene/exon primers different IDs (Ensembl gene IDs, HUGO IDs for human genes, LocusLink IDs, RefSeq IDs, MIM IDs, NCBI gene names, SWISSPROT IDs for bacterial genes, VEGA gene IDs for human and mouse, Sanger S.pombe systematic gene names and common gene names, S.cerevisiae GeneBanks Locus, AccNo, GI IDs and common gene names) -you can use genome regions (chromosome coordinates, chromosome bands if exists) -Currently we provide 3 primers collections: proPCR for prokaryotic organisms genes primers -euPCR for eukaryotic organisms genes/exons primers -snpPCR for eukaryotic organisms SNP primers Sponsors: PrimerStudio is funded by the University of Tartu.

Proper citation: PrimerStudio (RRID:SCR_008232) Copy   

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http://alizadehlab.stanford.edu/

This is an open-source Mouse Exonic Evidence-Based Oligonucleotide Chip (MEEBOChip), and are in the process of building the human counterpart, HEEBOChip. The set of 70mers for MEEBOChip is already available from Illumina, Inc., with synthesis of HEEBOChip 70mers in progress. Both arrays are based on a novel selection of exonic long-oligonucleotides (70-mers) from a genomic annotation of the corresponding complete genome sequences, using a transcriptome-based annotation of exon structure for each genomic locus. Using a combination of existing and custom-tailored tools and datasets (including millions of mRNA and EST sequences), we built and performed a systematic examination of transcript-supported exon structure for each genomic locus at the base-pair level (i.e., exonic evidence). This strategy allowed them to select both constitutive and in many cases alternative exons for nearly every gene in the corresponding genome (e.g., protocadherin locus), allowing an unprecedented exploration of human and mouse biology. Furthermore, they used experimentally derived data to hone the selection of these 70mers, helping maximize their performance under typical fluorescent labeling and hybridization conditions. Specifically, they applied and refined the ArrayOligoSelector algorithm from Joe DeRisis laboratory to select 70mers, considering not only their uniqueness (i.e., hybridization specificity) within the content of the entire genome, but also to overcome the known biases of labeling and hybridization methods (e.g., 3-biased reverse transcription and in vitro transcription reactions).

Proper citation: Alizadehlab: MeeboChip and HeeboChip Open Source Project (RRID:SCR_008384) Copy   

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http://locustdb.genomics.org.cn/

The migratory locust (Locusta migratoria) is an orthopteran pest and a representative member of hemimetabolous insects. Its transcriptomic data provide invaluable information for molecular entomology study of the insect and pave a way for comparative studies of other medically, agronomically, and ecologically relevant insects. This first transcriptomic database of the locust (LocustDB) has been developed, building necessary infrastructures to integrate, organize, and retrieve data that are either currently available or to be acquired in the future. It currently hosts 45,474 high quality EST sequences from the locust, which were assembled into 12,161 unigenes. This database contains original sequence data, including homologous/orthologous sequences, functional annotations, pathway analysis, and codon usage, based on conserved orthologous groups (COG), gene ontology (GO), protein domain (InterPro), and functional pathways (KEGG). It also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. LocustDB also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. It starts with the first transcriptome information for an orthopteran and hemimetabolous insect and will be extended to provide a framework for incorporation of in-coming genomic data of relevant insect groups and a workbench for cross-species comparative studies.

Proper citation: Migratory Locust EST Database (RRID:SCR_008201) Copy   

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http://www.ebi.ac.uk/genomes/plasmid.html

The Plasmid Genome Database aims to collate biological and genomic data for all bacterial plasmids in the hopes of enabling rapid, interrogation of both meta- and genomic data. Data maintained includes access to all plasmid genomes and information on core genomic features obtained from parsing the original EMBL/DDBJ/NCBI submission. In addition a suite of third party analyses has been performed for each genome to supplement the original annotation. This site also links to Genome Atlases provided by the Centre for Biological Sequence Analysis (CBS). The motivation behind the construction of this site derived from observations from genome sequencing projects: the abundance and inferred importance of the horizontal gene pool (HGP) in bacterial adaptation and evolution. In so far as plasmids are autonomously replicating, extrachromosomal elements they are a readily identifiable and accessible component of the HGP. Also plasmids have been identified in almost all bacterial divisions, ranging in size from less than 2 kbp to > 1.5 Mbp and as such represent a defined, yet diverse and complex sample of genes in the HGP.

Proper citation: Plasmid Genome Database (RRID:SCR_008228) Copy   

•   Source: SciCrunch Registry

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

Software application where GC implements the genomic control models. GCF implements the basic Genomic Control approach, but adjusts the p-values for uncertainty in the estimated effect of substructure. This approach is preferable if a large number of tests will be evaluated because it provides a more accurrate assessment of the significance level for small p-values. (entry from Genetic Analysis Software)

Proper citation: GC/GCF (RRID:SCR_009075) Copy   

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http://www.cs.tau.ac.il/~spike/

Database of curated human signaling pathways with an associated interactive software tool for analysis and dynamic visualization of pathways. Individual pathway maps can be viewed and downloaded; the entire database may be browsed, or launched via a map viewer tool that allows dynamic visualization of the database and save networks in XGMML format that can be viewed in all generic XGMML viewers. Map Topics * Cell cycle progress and check points * DNA damage response * Programmed cell death related processes * Stress-activated transcription factors * Mitogen-activated protein kinase pathways * Immune response signaling * HEarSpike: hearing related pathways

Proper citation: SPIKE (RRID:SCR_010466) Copy   

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http://wpicr.wpic.pitt.edu/WPICCompGen/newcovibd/covibd.htm

Software application that refines linkage analysis of affected sibpairs by considering attributes or environmental exposures thought to affect disease liability. This refinement utilizes a mixture model in which a disease mutation segregates in only a fraction of the sibships, with the rest of the sibships unlinked. Covariate information is used to predict membership within the two groups corresponding to the linked and unlinked sibships. The pre-clustering model uses covariate information to first form two probabilistic clusters and then tests for excess IBD-sharing in the clusters. The Cov-IBD model determines probabilistic group membership by joint consideration of covariate and IBD values. (entry from Genetic Analysis Software)

Proper citation: COVIBD (RRID:SCR_009155) Copy   

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http://microbialgenomics.energy.gov/index.shtml

Through its Microbial Genome Program (MGP) and its Genomics:GTL (GTL) program, DOEs Office of Biological and Environmental Research (BER) has sequenced more than 485 microbial genomes and 30 microbial communities having specialized biological capabilities. Identifying these genes will help investigators discern how gene activities in whole living systems are orchestrated to solve myriad life challenges. The MGP was begun in 1994 as a spinoff from the Human Genome Program. The goal of the program was to sequence the genomes of a number of nonpathogenic microbes that would be useful in solving DOE''s mission challenges in environmental-waste cleanup, energy production, carbon cycling, and biotechnology. Past projects include microbial genome program, microbial cell project, and the Laboratory Science Program at the DOE Joint Genome Institute. The two ongoing projects are Genomics: GTL program and Community Sequencing Program at the DOE Joint Genome Institute. Sponsors: Site sponsored by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Microbial Genomics Program (RRID:SCR_008140) Copy   

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http://skonops.imbb.forth.gr/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 22, 2023. A database containing genomic/biological information on anopheline mosquitoes, with an emphasis on Anopheles gambiae, the world''''s most important malaria vector. AnoBase is an integrated, relational database of basic biological and genetic data on anopheline species, with a particular emphasis on Anopheles gambiae. It has been designed as an information source and research support tool for the broad vector biology community. Although AnoBase is not a primary genomic database that develops and provides tools to access the genome of the malaria mosquito, it nevertheless contains several sections that offer data of genomic interest such as in situ hybridization images, an integrated gene tool and direct online access to AnoXcel, the proteomic database of An. gambiae. Moreover, AnoBase also contains information on non-gambiae mosquito species and a novel section on studies related to insecticide resistance.

Proper citation: AnoBase: An Anopheles database (RRID:SCR_008166) Copy   

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http://hyperbrowser.uio.no/hb/

A generic web-based system, providing statistical methodology and computing power to handle a variety of biological inquires on genomic datasets.

Proper citation: Genomic HyperBrowser (RRID:SCR_010909) 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   

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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   

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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   

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http://www.genyo.es/en

Center for excellence research in genomic medicine, focusing on the comprehensive study and understanding of the genetic basis of human diseases in general, placing special emphasis on cancer and its genetic disorders related to inheritance. GENYO was created as a multidisciplinary research space, where different professionals from the healthcare, university and business areas interact, making it possible to generate new systems to diagnose, prevent and treat diseases based on the joint and coordinated application of first-rate knowledge in the different areas of genetics. The center is the benchmark center of the Andalusian Program for Research in Clinical Genetics and Genomic Medicine, a program which, together with those of Cell Therapy and Regenerative Medicine, and Nanomedicine have the main objective of supporting and fostering translational research in Advanced Therapies. The activities performed within these three research programs are developed in coordination with the Andalusian Initiative for Advanced Therapies (IATA), an initiative of the Andalusian Government promoted by the Regional Ministries of Health and Innovation, Science and Enterprise.

Proper citation: Centre for Genomics and Oncological Research (RRID:SCR_003920) Copy   

•   Source: SciCrunch Registry