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https://amoebadb.org/amoeba/

Integrated genomic and functional genomic database for Entamoeba and Acanthamoeba parasites. Contains genomes of three Entamoeba species and microarray expression data for E. histolytica. Integrates whole genome sequence and annotation and includes experimental data and environmental isolate sequences provided by community researchers.

Proper citation: AmoebaDB (RRID:SCR_017592) Copy   

•   Source: SciCrunch Registry

https://webs.iiitd.edu.in/raghava/coronavir

Web based platform on COVID-19 to maintain predicted diagnostic, drug and vaccine candidates and computational resources on novel coronavirus SARS-CoV-2 and its resulting disease COVID-19. Provides collected and organized information from literature and other resources from internet, links to appropriate literature . Integrated multi-omics repository dedicated to current genomic, proteomic, diagnostic and therapeutic knowledge about coronaviruses.

Proper citation: CoronaVIR (RRID:SCR_018338) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/science/tools/seqtools

Software for sequence alignments that displays multiple match sequences aligned against a single genomic reference sequence. It can be used for manipulation, display and annotation of genomic data, to check the quality of an alignment, to find missing/misaligned sequence, and to identify splice sites and polyA sites.

Proper citation: Blixem (RRID:SCR_015994) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.mdc-berlin.de/pigx/

Software application as a collection of genomic pipelines used for raw fastq read data of bisulfite experiments, RNAseq samples, single cell dropseq analysis, reads from ChIPseq experiments, analysis of sequence mutations in CRISPR-CAS9 targeted amplicon sequencing data.

Proper citation: PiGx (RRID:SCR_016476) Copy   

•   Source: SciCrunch Registry

https://software.broadinstitute.org/gatk/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18th,2023. Software package for genome analysis. Used for analysis of next generation genomic data in cancer.

Proper citation: IndelGenotyper (RRID:SCR_016663) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/Web/Search/entrezfs.html

Web portal for global query cross database search and retrieval system that provides access to all databases simultaneously with a single query string and user interface. Retrieves nucleotide and protein sequence data, gene centered and genomic mapping information, 3D structures, and references. Covers databases including protein sequence data from PIR-International, PRF, Swiss-Prot, and PDB and nucleotide sequence data from GenBank that includes information from EMBL and DDBJ.

Proper citation: Entrez (RRID:SCR_016640) Copy   

•   Source: SciCrunch Registry

http://cccb.dfci.harvard.edu

Core facility that provides the following services: Microarray and other genomic data analysis, MiSeq. The Center provides broad-based support for the generation, analysis, and interpretation of genomic and other large-scale data in the context of basic, clinical and translational research. The CCCB has three primary elements. * The CCCB sequencing facility offers a wide range of services to assist in the design and execution of next-generation sequencing projects. Utilizing the Illumina (Solexa) sequencing technology, they currently support a number of applications inlcuding ChIP-Seq, RNA-Seq, whole genome, whole exome, and targeted re-sequencing. * The analytical services and support platform aims to provide state-of-the-art assistance in the collection, management, analysis, and interpretation of large-scale data with a focus on data generated using ''''omic technologies. In addition, they offer software, services, and training designed to assist investigators in advancing their research. * The CCCB research program is focused on development of new methods for improving analysis and interpretation of genomic data through integration of diverse data types with the goal of creating open-source software tools to be made freely-available to the research community.

Proper citation: DFCI Center for Cancer Computational Biology (RRID:SCR_012688) Copy   

•   Source: SciCrunch Registry

http://www.norch.org/center-cores/genomics-and-cell-biology-core/

Core that facilitates the application of genomics, bioinformatics, cell biology, and immunology techniques to nutrition and metabolic research.

Proper citation: Nutrition and Obesity Research Centers at Harvard Genomics and Cell Biology Core (RRID:SCR_015427) Copy   

•   Source: SciCrunch Registry

https://www.uclahealth.org/departments/pathology/research-services/technology-center-genomics-bioinformatics-tcgb

Core is a fully automated, high-throughput genomic Center equipped with next generation sequencing and microarray platforms. TCGB provides genomics technologies, comprehensive services, specialized expertise and a wide range of trainings, enabling these services to serve basic science and translational/clinical research. In addition, TCGB provides pre-experiment consultation and post-experiment support, including preparation of grant applications, publications, and strategic planning for additional research steps. TCGB also provides educational training to faculty, staff, and students to raise awareness of new directions and major discoveries in the areas of genomics and bioinformatics.

Proper citation: University of California Los Angeles Technology Center for Genomics and Bioinformatics Core Facility (RRID:SCR_012204) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/oncotator

A tool for annotating human genomic point mutations and indels with data relevant to cancer researchers. Genomic Annotations, Protein Annotations, and Cancer Annotations are aggregated from many resources. A standalone version of Oncotator is being developed.

Proper citation: Oncotator (RRID:SCR_005183) Copy   

•   Source: SciCrunch Registry

http://wavi.bioinfo.cnio.es/

A versatile web-server application for the analysis and visualization of array-CGH data.

Proper citation: waviCGH (RRID:SCR_006662) Copy   

•   Source: SciCrunch Registry

http://probeexplorer.cicancer.org/principal.php

Probe Explorer is an open access web-based bioinformatics application designed to show the association between microarray oligonucleotide probes and transcripts in the genomic context, but flexible enough to serve as a simplified genome and transcriptome browser. Coordinates and sequences of the genomic entities (loci, exons, transcripts), including vector graphics outputs, are provided for fifteen metazoa organisms and two yeasts. Alignment tools are used to built the associations between Affymetrix microarrays probe sequences and the transcriptomes (for human, mouse, rat and yeasts). Search by keywords is available and user searches and alignments on the genomes can also be done using any DNA or protein sequence query. Platform: Online tool

Proper citation: ProbeExplorer (RRID:SCR_007116) Copy   

•   Source: SciCrunch Registry

http://baygenomics.ucsf.edu/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. The BayGenomics gene-trap resource provides researchers with access to thousands of mouse embryonic stem (ES) cell lines harboring characterized insertional mutations in both known and novel genes. The major goal of BayGenomics is to identify genes relevant to cardiovascular and pulmonary disease.

Proper citation: BayGenomics (RRID:SCR_008168) Copy   

•   Source: SciCrunch Registry

https://unclineberger.org/tgl/

Core facility within Lineberger Comprehensive Cancer Center that performs sample processing for the molecular, pathologic, and genomic characterization of patient-derived specimens using high-end instrumentation and state-of-the-art methods. Service offerings include nucleic acid extraction, gene expression profiling, spatial genomics, next-generation sequencing library preparation, and high-throughput sequencing. Protocols leverage the reproducibility and reliability of automated instrumentation to minimize batch effects and processing errors (e.g. sample swaps). These workflows have been continuously optimized over the last decade, with a sample-to-answer historic success rate of ~90% for the >15,000 FFPE samples TGL has processed.

Proper citation: University of North Carolina at Chapel Hill Translational Genomics Lab Core Facility (RRID:SCR_025231) Copy   

•   Source: SciCrunch Registry

http://www.nbrc.nite.go.jp/e/index.html

Collection of microbial resources and perform taxonomic characterization of individual microorganisms such as bacteria including actinomycetes and archaea, yeasts, fungi, algaes, bacteriophages and DNA resources for academic research and industrial applications. NBRC is a member of WFCC, OECD Global BRC Network, ACM and JSCC. They are certified by quality management system ISO 9001. To provide attractive biological resources with useful information attached, they actively collect potentially useful biological resources (microorganisms and cloned genes) and distributes them to promote basic research as well as industrial applications. At the Biological Resource Center, they explore, isolate and identify microorganisms from various natural environments and at the same time accept scientifically and industrially useful microorganisms from researchers in academic and industrial sectors. The microbial DNA library constructed at the Biotechnology Development Center is also part of their collection. To improve and expand the collection, new methodologies for the isolation, identification and preservation of microorganisms and DNA will be investigated and developed so as to provide biological resources of higher quality. Their resources serve, for example, as the standard for determining antimicrobial activity, in aseptic tests as well as for the production of pharmaceutical substances and will be constantly reinforced for wider distribution to researchers in academia and industries. Please refer to the catalog shown at the NBRC website for details.

Proper citation: NBRC (RRID:SCR_002660) Copy   

•   Source: SciCrunch Registry

http://www.omicsexpress.com/sva.php

Software package to annotate, visualize, and analyze the genetic variants identified through next-generation sequencing studies, including whole-genome sequencing (WGS) and exome sequencing studies. SVA aims to provide the research community with a user-friendly and efficient tool to analyze large amount of genetic variants, and to facilitate the identification of the genetic causes of human diseases and related traits.

Proper citation: SVA (RRID:SCR_002155) Copy   

•   Source: SciCrunch Registry

http://gaow.github.io/genetic-analysis-software/e-1.html#ehp

Software application that provides variance estimates for haplotype frequency estimates, it allows several kinds of missing information in the genotype data, it also allows for combined genotype data of different pool sizes. This program can be used for testing haplotype-disease associations in case control studies by calculating the likelihood ratio test: 2 log(likelihood for cases) + 2 log(likelihood for controls) - 2 log(likelihood for case+controls). (entry from Genetic Analysis Software)

Proper citation: EHP (RRID:SCR_009170) Copy   

•   Source: SciCrunch Registry

https://www.nugene.org/

Collects and stores genetic (DNA) samples along with associated healthcare information from patients of Northwestern-affiliated hospitals and clinics. This resource is available to scientists to conduct groundbreaking genetic research. The information and blood samples provided will be used by researchers to examine the role genes play in the development and treatment of common diseases. The NUgene Project seeks to increase the understanding of genetic mechanisms underlying common diseases, assist in the development of DNA-based technology for diagnosis and treatment of disease, and aid physicians and other healthcare providers in the application of genetics to the practice of medicine. NUgene participants are recruited throughout the Northwestern-affiliated healthcare community in order to create an ethnically and medically diverse population for research. Participants must be 18 years of age or older and receive their medical care from a Northwestern-affiliated provider, regardless of health status. Consenting individuals complete all aspects of enrollment in a single meeting with a research coordinator. The enrollment process includes the donation of a single sample of blood and the completion of a self-administered questionnaire. Participants also sign a consent form during this encounter. The NUgene Project is an interdisciplinary project that relies on the expertise of individuals working in a variety of fields, including science, medicine, clinical research, statistics, epidemiology, and computational biology. NUgene''s multidisciplinary approach has spurred collaborations within Northwestern-affiliated institutions and with other outside institutions. This collaboration of ideas is the future of genetics and genomic research., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: NUgene Project (RRID:SCR_007426) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/onemap/index.html

Software environment for constructing linkage maps in outcrossing plant species, using full-sib families derived from two outbreed (non-inbreeding) parent plants. (entry from Genetic Analysis Software)

Proper citation: R/ONEMAP (RRID:SCR_009371) Copy   

•   Source: SciCrunch Registry

http://sonorus.princeton.edu/hefalmp/

HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool.

Proper citation: Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) Copy   

•   Source: SciCrunch Registry