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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Whole genome sequencing data for 454 unrelated Scripps Wellderly Study participants with European ancestry from a project that is studying the genetic architecture of exceptional healthspan from a cohort comprised of more than 1300 healthy individuals over the age of 80 years. SWGR_v1.0 includes chromosome-specific VCF4.1 bgzipped and tabix indexed files. Annotations for each variant can be found at Scripps Genome ADVISER (SG-ADVISER, http://genomics.scripps.edu/) Additional data releases are expected.
Proper citation: Scripps Wellderly Genome Reference (RRID:SCR_010250) Copy
https://github.com/BackofenLab/HVSeeker/tree/main
Software tool for distinguishing between bacterial and phage sequences. Consists of two separate models: one analyzing DNA sequences and the other focusing on proteins.
Proper citation: HVSeeker (RRID:SCR_026120) Copy
https://jmorp.megabank.tohoku.ac.jp/
Japanese multi omics reference panel. Provides multidimensional approach to diversity of Japanese population. Public database for plasma metabolome and proteome analyses. Updated to metabolome, genome, transcriptome, metagenome, number of samples, analysis methods of each dataset, expanding links between each layer and links between hierarchies.
Proper citation: jMORP (RRID:SCR_024755) Copy
https://github.com/Nextomics/NextPolish
Software tool to fix base errors SNV/Indel in genome generated by noisy reads. Used to correct error bases in reference genome.
Proper citation: NextPolish (RRID:SCR_025232) Copy
http://www.scripps.edu/florida/technologies/cbs/index.html
Core facility that provides access to genome-wide collections of cDNAs and siRNAs that can be used to interrogate cellular models of signal transduction pathways and phenotypes. Services include cell lines, hit-picking clones and various screening sets, and access to equipment.Provides instruments:Analyst Molecular Devices,Embla Molecular Devices, Envision Perkin Elmer, Platemate Matrix, Tecan M200, Wellmate Matrix.
Proper citation: Scripps Research Institute Florida Cell Based High Throughput Screening Core Facility (RRID:SCR_014877) Copy
https://www.wadsworth.org/research/cores/applied-genomics
Advanced Genomic Technologies Cluster provides next-generation sequencing and Sanger sequencing. Next-generation sequencing services are provided using Illumina MiSeq and NextSeq sequencers. Services are available for amplicon re-sequencing, viral or microbial whole genome sequencing and 16S microbiome sequencing. Sanger DNA Sequencing can be performed on DNA templates such as PCR products and plasmids using ABI 3730xl and ABI3130xl instruments.
Proper citation: New York State Advanced Genomic Technology Core Facility (RRID:SCR_017687) Copy
https://cell-innovation.nig.ac.jp/maser/Tools/visualization_top_en.html
One stop platform for NGS big data from analysis to visualization. There are about 400 analysis pipelines integrated on Maser. List of all analysis pipelines, including descriptions and approximate execution times, can be found on page for ‘All pipelines’ in the User Guide.. Regist custom genome software registers custom genomes to Genome Explorer (IN: FASTA).
Proper citation: regist custom genome (RRID:SCR_015999) Copy
http://www.stowers-institute.org/research/core/molecular-biology
Core services include DNA sequencing, site directed mutagenesis, genome engineering (TALENs & CRISPRS), plasmid preparations and distributing clones/vectors from in house collections. Supports real time quantitative PCR through instrument training, troubleshooting and experimental design. Stowers researchers also have access to Illumina Next Generation Sequencing technology. Constructs libraries, performs sequencing and assists with high throughput genome sequencing, RNA-seq and ChIP-seq projects. Utilizes liquid handling and colony manipulation robots to automate many of services. Provides automation expertise and collaborate with researchers on custom automation projects.
Proper citation: Stowers Institute for Medical Research Molecular Biology Core Facility (RRID:SCR_017776) Copy
Core provides services and houses samples collected over the last 30 years. Biorepository processes, archives, and retrieves biological samples for genomic research. Offers variety of sample processing options including but not limited to automated DNA extraction using Autogen FLEXSTAR+ instrument, automated DNA/RNA extraction using Qiagen QIASymphony, peripheral blood mononuclear cell (PBMC) isolation, serum, plasma and buffy coat isolation, creation of blood cards, DNA/RNA quantitation and qualitation, whole genome amplification, cell-line lymphoblast immortalization and primary fibroblast tissue culture. Offers sample solutions tos uit customized needs.Services also include DNA/RNA Extraction,Sample archiving, retrieval and allocation,Unique and custom labels printing,DNA/RNA quantitation and qualitation,Tissue culture,Whole genome amplification.
Proper citation: University of Miami Hussman Institute for Human Genomics Biorepository Core Facility (RRID:SCR_017816) Copy
Core Facility offers services utilizing Illumina Novaseq X Plus, Pacific Biosciences Revio, ONT Promethion, and 10x Genomics platforms. The core has extensive knowledge of DNA/RNA library preparation for short-read, long-read and single cell sequencing. Sample preparation is fully automated on Perkin Elmer robotic workstations and tracked via the Clarity LIMS. Services include, but are not limited to, whole genome, exome and custom capture protocols, as well as, bulk RNAseq, small RNAseq, and single cell RNA sequencing.
Proper citation: University of Miami Hussman Institute for Human Genomics Sequencing Core Facility (RRID:SCR_017828) Copy
http://gif.biotech.iastate.edu/
Provides help with grant review, information on data management plans,suggestion best practices for bionformatics analyses, advise on experimental design for Next Gen Sequencing (NGS) projects.Services include:Genome assembly and annotation,Transcriptome assembly and annotation,SNP/InDel calling,RNA-Seq analysis,ChiP-seq,Introgression mapping,novel gene discovery,Personalized GBrowse instances for data visualization,Access to high performance computing, Custom big data projects.
Proper citation: Iowa State University Genome Informatics Core Facility (RRID:SCR_017790) Copy
Core provides next-generation sequencing capabilities using Illumina MiSeq. Helps with experimental design, quality control analysis, library preparation, and data analysis. MiSeq desktop sequencer allows to access applications such as targeted gene sequencing, metagenomics, small genome sequencing, targeted gene expression, amplicon sequencing, and HLA typing.MiSeq is capable of delivering up to 15 Gb of output with 25 million sequencing reads and 2x300 basepair read lengths.
Proper citation: Loyola University Genomics Core Facility (RRID:SCR_017857) Copy
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
http://ccr.coriell.org/Sections/Collections/HuREF/?SsId=78
The Human Reference Genetic Material Repository makes available DNA from a single individual, J. Craig Venter, whose genome has been sequenced and assembled. The DNA samples are prepared from a lymphoblastoid cell line established at Coriell Cell Repositories from a sample of peripheral blood. The DNA samples are available in 50 microgram aliquots. The lymphoblastoid cell line is not available for distribution. The human DNA sample provided is that of J. Craig Venter whose DNA from white blood cells and sperm was sequenced using Sanger chemistry (ABI Capillary Electrophoresis Platforms 3700 and 3730xl), assembled using the Celera Assembler and was published in PLoS Biology . J. Craig Venter, born on 14 October 1946, is a Caucasian male of self-reported European-American ancestry. The data available on this sample, whose genome assembly is referred to as HuRef, includes: * Whole Genome Shotgun Sequencing data * Sequence trace set deposited by JCVI in the NCBI trace archive * Human Genome Browser displaying sequence assembly, DNA variants and gene annotations Additional data sets from this study include: * Full set of Sanger reads used for genome assembly * SNP and insertion/deletion variant on the human genome sequence coordinates (NCBI version 36) * Affymetrix 500K GeneChip data * Illumina HumanHap650Y Genotyping BeadChip data Given the amount of data publicly available the genomic content of this sample, HuRef will be useful as a reference for many genetic studies.
Proper citation: Human Reference Genetic Material Repository (RRID:SCR_004693) Copy
Part of zebrafish genome project. ZGC project to produce cDNA libraries, clones and sequences to provide complete set of full-length (open reading frame) sequences and cDNA clones of expressed genes for zebrafish. All ZGC sequences are deposited in GenBank and clones can be purchased from distributors of IMAGE consortium. With conclusion of ZGC project in September 2008, GenBank records of ZGC sequences will be frozen, without further updates. Since definition of what constitutes full-length coding region for some of genes and transcripts for which we have ZGC clones will likely change in future, users planning to order ZGC clones will need to monitor for these changes. Users can make use of genome browsers and gene-specific databases, such as UCSC Genome browser, NCBI's Map Viewer, and Entrez Gene, to view relevant regions of genome (browsers) or gene-related information (Entrez Gene).
Proper citation: Zebrafish Gene Collection (RRID:SCR_007054) Copy
http://www.sanger.ac.uk/Projects/D_rerio/zmp/
Create knockout alleles in protein coding genes in the zebrafish genome, using a combination of whole exome enrichment and Illumina next generation sequencing, with the aim to cover them all. Each allele created is analyzed for morphological differences and published on the ZMP site. Transcript counting is performed on alleles with a morphological phenotype. Alleles generated are archived and can be requested from this site through the Zebrafish International Resource Center (ZIRC). You may register to receive updates on genes of interest, or browse a complete list, or search by Ensembl ID, gene name or human and mouse orthologue.
Proper citation: ZMP (RRID:SCR_006161) Copy
http://www.mousephenotype.org/
Center that produces knockout mice and carries out high-throughput phenotyping of each line in order to determine function of every gene in mouse genome. These mice will be preserved in repositories and made available to scientific community representing valuable resource for basic scientific research as well as generating new models for human diseases.
Proper citation: International Mouse Phenotyping Consortium (IMPC) (RRID:SCR_006158) Copy
http://www.genome.gov/27549169
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 30,2025. 2012 workshop to establish a Central Resource of Data from Genome Sequencing Projects. The workshop addressed the challenges to aggregating and analyzing data sets from genome sequencing studies, such as: * Data sets being generally hard to access. * Data residing in various databases. * Variant and exposure/phenotype data not being comparable across studies. Participants in the workshop discussed options for dealing with these challenges, along with their costs and tradeoffs. Videos and accompanying slides from the workshop are available. Also available as a video playlist on GenomeTV
Proper citation: NHGRI: Establishing a Central Resource of Data from Genome Sequencing Projects (RRID:SCR_003205) Copy
http://sites.huji.ac.il/malaria/
Data set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database.
Proper citation: Malaria Parasite Metabolic Pathways (RRID:SCR_007072) Copy
http://www.broad.mit.edu/node/305
The Connectivity Map aims to generate a detailed map that links gene patterns associated with disease to corresponding patterns produced by drug candidates and a variety of genetic manipulations. The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework. It allows researchers to screen compounds against genome-wide disease signatures, rather than a pre-selected set of target genes. Drugs are paired with diseases using sophisticated pattern-matching methods with a high level of resolution and specificity. To build a Connectivity Map, the Broad Institute brings together molecular biologists, genomics specialists, computational scientists, pharmacologists, chemists and chemical biologists, as well as expertise from across the breadth and depth of medicine.Connectivity map is a large public database of signatures of drugs and genes, and pattern-matching tools to detect similarities among these signatures.The parent site for the Broad Institute at MIT has a software library of software applications developed for use in genetic analysis.
Proper citation: National Institute of Mental Health (NIMH) Human Genetics Initiative (RRID:SCR_007436) Copy
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