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The European large-scale functional genomics in the rat for translational research (EURATRANS) consortium brings together investigators who will use next-generation sequencing technologies to generate genomic, transcriptomic and epigenomic datasets. The goal is to create quantitative metabonomic and proteomic datasets to give significant depth of coverage, at multiple levels, across pathophysiological phenotypes. The aim is to enable insights into disease mechanisms, through an integrative, cross-disciplinary approach to understanding large-scale functional genomic datasets in rats and humans.
Proper citation: European large-scale functional genomics in the rat for translational research (EURATRANS) (RRID:SCR_013697) Copy
i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will enable clinical researchers to use existing clinical data for discovery research and, when combined with IRB-approved genomic data, facilitate the design of targeted therapies for individual patients with diseases having genetic origin. For some resources (e.g. software) the use of the resource requires accepting a specific (e.g. OpenSource) license.
Proper citation: Informatics for Integrating Biology and the Bedside (RRID:SCR_013629) Copy
http://sharedresources.fredhutch.org/core-facilities/bioinformatics
THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 27,2022. Core provides bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data.
Proper citation: Fred Hutchinson Cancer Research Center Co-operative Center for Excellence in Hematology Bioinformatics Resource (RRID:SCR_015324) Copy
Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility.
Proper citation: NeMOarchive (RRID:SCR_016152) Copy
http://disulfind.dsi.unifi.it/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023, Software for predicting the disulfide bonding state of cysteines and their disulfide connectivity, starting from a protein sequence alone and may be useful in other genomic annotation tasks.
Proper citation: DISULFIND (RRID:SCR_016072) Copy
http://genome.imim.es/software/gfftools/GFF2APLOT.html
Software application to visualize the alignment of two genomic sequences together with their annotations. Used to generate print-quality images for comparative genome sequence analysis.
Proper citation: Gff2aplot (RRID:SCR_016128) Copy
https://github.com/osallou/cassiopee-c
Software to scan an input genomic sequence (dna/rna/protein). It searchs for a subsequence that has an exact match, substitutions (Hamming distance), and/or insertion/deletions with supporting alphabet ambiguity.
Proper citation: Cassiopee (RRID:SCR_016056) Copy
http://ssadedin.github.io/ximmer/
Software to help users of targeted high throughput genomic sequencing data to accurately detect copy number variants (CNVs). Framework for running and evaluating other copy number detection tools.Used for evaluating and improving performance of CNV detection in exome and targeted sequencing data.
Proper citation: Ximmer (RRID:SCR_016427) Copy
Open source web-based system and database that provides access to historical records and trends in the Gene Ontology (GO) and GO annotations (GOA). Used for monitoring changes in the Gene Ontology and their impact on genomic data analysis.
Proper citation: GOTrack (RRID:SCR_016399) Copy
Collection of curated papillomavirus genomic sequences, accompanied by web-based sequence analysis tools. Database and web applications support the storage, annotation, analysis, and exchange of information.
Proper citation: PaVE (RRID:SCR_016599) Copy
https://genome.jgi.doe.gov/programs/fungi/1000fungalgenomes.jsf
Web application to provide genomic information for fungi. Includes sequenced fungal genomes, those in progress, and selected nominations. Nomination of new species for genome sequencing in the families or only one reference genome possible after providing DNA/RNA samples for their sequencing. Used to explore the diversity of fungi important for energy and the environment.
Proper citation: 1000 Fungal Genome Project (RRID:SCR_016463) Copy
Database and information retrieval, analysis, and visualization system for microbial resources to help culture collections to manage, disseminate and share the information related to their holdings. Provides an interface for the scientific and industrial communities to access the microbial resource information.
Proper citation: Global Catalogue of Microorganisms (RRID:SCR_016460) Copy
https://genomecenter.ucdavis.edu/core-facilities/
Genome Center uses technologies to understand how heritable genetic information of diverse organisms functions in health and disease. Provides research facilities, service cores, and staff for genomics research and training. Core facilities for Bioinformatics,DNA Technologies and Expression Analysis, Metabolomics, Proteomics,TILLING Core,Yeast One Hybrid Services Core.
Proper citation: UC Davis Genome Center Labs and Facilities (RRID:SCR_012480) Copy
http://www.daimi.au.dk/%7Emailund/SNPFile/
Software library and API for manipulating large SNP datasets with associated meta-data, such as marker names, marker locations, individuals'' phenotypes, etc. in an I/O efficient binary file format. In its core, SNPFile assumes very little about the metadata associated with markers and individuals, but leaves this up to application program protocols. (entry from Genetic Analysis Software)
Proper citation: SNPFILE (RRID:SCR_009402) Copy
https://atgu.mgh.harvard.edu/plinkseq/
An open-source C/C++ library for working with human genetic variation data. The specific focus is to provide a platform for analytic tool development for variation data from large-scale resequencing projects, particularly whole-exome and whole-genome studies. However, the library could in principle be applied to other types of genetic studies, including whole-genome association studies of common SNPs. (entry from Genetic Analysis Software)
Proper citation: PLINK/SEQ (RRID:SCR_013193) Copy
https://github.com/sansomlab/tenx
Pipeline for the analysis of 10x single cell RNA sequencing data. Collection of python3 pipelines and Rscripts to analyze data generated with the 10x Genomics platform. The pipelines are based on 10x's Cell Ranger pipeline for mapping and quantitation and the R Seurat package for downstream analysis.
Proper citation: tenx (RRID:SCR_016957) Copy
https://kidsfirstdrc.org/portal/portal-features/
Portal for analysis and interpretation of pediatric genomic and clinical data to advance personalized medicine for detection, therapy, and management of childhood cancer and structural birth defects. For patients, researchers, and clinicians to create centralized database of well curated clinical and genetic sequence data from patients with childhood cancer or structural birth defects.
Proper citation: Kids First Data Resource Portal (RRID:SCR_016493) Copy
https://bioconductor.org/packages/release/bioc/html/ComplexHeatmap.html
Software package to arrange multiple heatmaps and support various annotation graphics. Used to visualize associations between different sources of data sets and to reveal potential patterns.
Proper citation: ComplexHeatmap (RRID:SCR_017270) Copy
https://satijalab.org/seurat/get_started.html
Software as R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data.
Proper citation: Seurat (RRID:SCR_016341) Copy
https://github.com/Lcornet/GENERA
Software toolbox to infer completely reproducible comparative genomic and metabolic analyses on prokaryotes and small eukaryotes.
Proper citation: GENERA (RRID:SCR_023113) Copy
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