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http://rana.lbl.gov/drosophila

A single source for sequences, assemblies, annotations and analyses of the genomes of members of the fruitfly genus Drosophlia. It is meant as resource for Drosophilists and other researchers interested in comparative analysis of these species and their genomes. There are pages for each species, as well as pages for different types of multi-species resources (e.g. alignments). If you have a public resource that will help this project, please consider making it available through this page by emailing multiple_at_fruitfly.org.

Proper citation: Assembly/Alignment/Annotation of 12 Related Drosophila Species (RRID:SCR_002921) Copy   

•   Source: SciCrunch Registry

http://www.brainscape.org/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available.

Proper citation: Brainscape (RRID:SCR_002962) Copy   

•   Source: SciCrunch Registry

http://www.grassfoundation.org/

The Grass Foundation is a small, not-for-profit, private foundation chartered to support research and education in neuroscience. The hallmark program of The Grass Foundation is the Grass Fellowship Program at the Marine Biological Laboratory in Woods Hole, Massachusetts. This program provides a first opportunity for neuroscientists during late stages of predoctoral training or during postdoctoral years to conduct independent research for scientific discovery on their own at the MBL each summer. While sharing the Grass Laboratory, Fellows function as an intellectual and social group within the MBL community. The number of fellowships awarded varies annually. Additional programs supported by The Grass Foundation include the Robert S. Morison Fellowship, The Grass-MBL Faculty Grant Program, the Ricardo Miledi Program for Neuroscience Training, several neuroscience courses at the MBL, and yearly funding of a few lectureships and prizes. Please see our Program Grants section for more information.

Proper citation: Grass Foundation (RRID:SCR_002960) Copy   

•   Source: SciCrunch Registry

http://www.uc.edu/

Public research university in Ohio that offers degree programs in a variety of fields such as business, music and arts, and medical and human service.

Proper citation: University of Cincinnati; Ohio; USA (RRID:SCR_002833) Copy   

•   Source: SciCrunch Registry

http://www.uchicago.edu/

Private research university in Chicago, Illinois.

Proper citation: University of Chicago; Illinois; USA (RRID:SCR_002832) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/chimera.html

A Bioconductor package that organizes, annotates, analyses and validates fusions reported by different fusion detection tools. The current implementation can deal with output from bellerophontes, chimeraScan, deFuse, fusionCatcher, FusionFinder, FusionHunter, FusionMap, mapSplice, Rsubread, tophat-fusion, tophat-fusion-post and STAR. The core of Chimera is a fusion data structure that can store fusion events detected with any of the aforementioned tools.

Proper citation: Chimera (RRID:SCR_002959) Copy   

•   Source: SciCrunch Registry

http://proteininformationresource.org/

Integrated public bioinformatics resource to support genomic, proteomic and systems biology research and scientific studies. Provides databases and protein sequence analysis tools to scientific community, including Protein Sequence Database which grew out from the Atlas of Protein Sequence and Structure. Conducts research in biomedical text mining and ontology, computational systems biology, and bioinformatics cyberinfrastructure. In 2002 PIR, along with its international partners, EBI (European Bioinformatics Institute) and SIB (Swiss Institute of Bioinformatics), were awarded a grant from NIH to create UniProt, a single worldwide database of protein sequence and function, by unifying the PIR-PSD, Swiss-Prot, and TrEMBL databases. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PRO protein ontology, and iv) iProLINK protein literature mining and ontology development. The FTP site provides free download for iProClass, PIRSF, and PRO.

Proper citation: Protein Information Resource (RRID:SCR_002837) Copy   

•   Source: SciCrunch Registry

http://engels.genetics.wisc.edu/amplify/

A freeware Macintosh program for simulating and testing polymerase chain reactions (PCRs) that can also be used as a tool for designing primers by evaluating candidates. It's a program to simulate the polymerase chain reaction. You specify a target sequence and primers, and it predicts the result. It's useful for planning experiments, testing primers and teaching about PCR. Amplify draws a diagram of the predicted results showing all expected primer matches and amplified fragments. Clicking on any of these objects gives additional information about them.

Proper citation: Amplify (RRID:SCR_002956) Copy   

•   Source: SciCrunch Registry

http://www.gramene.org

Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site.

Proper citation: Gramene (RRID:SCR_002829) Copy   

•   Source: SciCrunch Registry

https://omictools.com/cross-platform-transcriptome-analysis-tool

Software package for analyzing transcriptome sequencing data from different sequencing platforms.

Proper citation: CPTRA (RRID:SCR_002944) Copy   

•   Source: SciCrunch Registry

http://www.fda.gov/nctr/science/centers/toxicoinformatics/maqc/

The National Center for Toxicological Research (NCTR), FDA's internationally recognized research center, plays a critical role in FDA's mission. The unique scientific expertise of NCTR is critical in supporting FDA product centers and their regulatory roles. The NCTR is an important research component of the FDA that plays a critical role in the missions of FDA and DHHS to promote and protect public health. * NCTRin partnership with researchers from government, academia, and industrydevelops, refines, and applies current and emerging technologies to improve safety evaluations of FDA-regulated products. * NCTR fosters national and international collaborations to improve and protect public health and enhance the quality of life for the American people. Through the training of scientists from around the world, as well as FDA staff, NCTR researchers spread the principles of regulatory science globally. * NCTR conducts FDA research with the goal to develop a scientifically sound basis for regulatory decisions and reduce risks associated with FDA-regulated products. NCTR represents the FDA on key committees of the National Toxicology Program (NTP), a program that evaluates the effects of chemicals on health. Over the past 30 years, the NTP and NCTR have conducted studies on FDA-nominated compounds, providing data to support science-based regulatory decisions.

Proper citation: National Center for Toxicological Research (RRID:SCR_002943) Copy   

•   Source: SciCrunch Registry

https://genenames.org

Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.

Proper citation: HGNC (RRID:SCR_002827) Copy   

•   Source: SciCrunch Registry

http://pfind.ict.ac.cn/software/pNovo/index.html

A de novo peptide sequencing algorithm using complementary higher-energy collisional dissociation (HCD) and electron transfer dissociation (ETD) tandem mass spectra.

Proper citation: pNovo+ (RRID:SCR_002860) Copy   

•   Source: SciCrunch Registry

http://www.nest-simulator.org/

Software tool as simulator for spiking neural network models that focuses on dynamics, size and structure of neural systems rather than on exact morphology of individual neurons. Used for any size spiking neurons networks including models of information processing, models of network activity dynamics, models of learning and plasticity.

Proper citation: NEST Simulator (RRID:SCR_002963) Copy   

•   Source: SciCrunch Registry

http://osdoc.cogsci.nl/

Software for the rapid development of psychological and neuroscientific experiments.

Proper citation: OpenSesame (RRID:SCR_002849) Copy   

•   Source: SciCrunch Registry

http://www.hgsc.bcm.tmc.edu/content/red-flour-beetle-genome-project

This portal provides information about the Tribolium castabeum Genome Project. The Tribolium castaneum genome sequence and its analysis has been published in Nature, two companion journal issues (IBMB and DGE) and numerous other publications listed below. The red flour beetle, Tribolium castaneum, a common pest that is also a genetic model for the Coleoptera. The genome has been sequenced to 7-fold coverage using a whole genome shotgun approach and assembled using the HGSC's assembly engine, Atlas, with methods employed for the Drosophila pseudoobscura genome assembly. Approximately 90% of the genome sequence has been mapped to chromosomes in collaboration with Dick Beeman (USDA ARS) and Sue Brown (Kansas State University). Access to the Data :- Genome Assembly: The long term home of the Tribolium genome is Beetlebase. Tcas 3.0 is now available in GenBank and on our FTP site. Note there are no restrictions of any kind on the Tribolium data as it has been published. Version 2 of the assembly, Tcas_2.0 is available for download using the FTP Data link in the sidebar. The assembly is described in detail in the README in that directory. T.cas_1.0 was a preliminary genome assembly that did not include large insert paired end information and has been moved to a previous assemblies folder. A genboree browser of the Tcas2.0 sequence is available here: There are also links to the genboree browser from the blast results (at the bottom of each reported HSP) if you use the blast server on this page. The original linear scaffold file, Tcas2.0/linearScaffolds/Tcas20050914-genome, posted on the ftp site did not include singleton contigs from the assembly and thus did not fully reflect the tribolium genome sequence, missing ~4.4Mb of sequence in 1860 contigs and reptigs or approximately 2.5% of the assembled sequence. A corrected Tcas20051011-genome file containing these missing sequences is now available on the ftp site. The blast databases have also been updated to reflect this change. All other data is correct, and not affected by this change. :- BLAST Searches: The BLAST link is located in the sidebar. :* Linearized chromosome and unplaced scaffold sequences :* Assembled contigs :* Bin0 unassembled reads and Repeat reads Traces are available from the NCBI Trace Archive by using the link in the sidebar, or by using NCBI MegaBLAST with a same species or cross species query. Sponsors: Funding for this project has been provided by the National Human Genome Research Institute (NHGRI U54 HG003273), which is part of the National Institutes of Health (NIH), and the U.S. Department of Agriculture's Agricultural Research Service (USDA ARS Agreement No. 58-5430-3-338).

Proper citation: Tribolium castaneum Genome Project (RRID:SCR_002848) Copy   

•   Source: SciCrunch Registry

http://hapmap.ncbi.nlm.nih.gov/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

Proper citation: International HapMap Project (RRID:SCR_002846) Copy   

•   Source: SciCrunch Registry

http://hembase.niddk.nih.gov/

Database designed for web-based examination of the human erythroid transcriptome. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology. Red blood cells in the circulation arise from hematopoietic stem cells that proliferate as erythroid progenitors and differentiate into erythroid precursor cells in response to the hormone erythropoietin. Messenger RNA was isolated from those cells and used to generate gene libraries. Sequencing several thousand expressed sequence tags (EST) from those libraries was then performed. Those EST and sequences encoding several hundred additional genes with known expression in erythroid cells are compiled here as a database of human erythroid gene activity. The database is organized and linked according to the location of these sequences within the human genome., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: HemBase (RRID:SCR_002880) Copy   

•   Source: SciCrunch Registry

http://www.pathway.com/

The mission of Pathway Genomics is to empower you with the most secure, comprehensive and affordable personal genomic information available and to become your partner in utilizing that information to improve your health and wellness. Pathway is the only DNA testing service with an on-site federal and state CLIA-licensed laboratory. This means it offers: - Better Science: Its certified geneticists are on-staff and on-site in our own state-of-the-art laboratory in California. Their 10,600 square foot, high-complexity CLIA licensed lab facility is equipped with the latest high-throughput robotics and Affymetrix, Illumina and Sequenom genotyping equipment. As scientists committed to staying on the cutting-edge, they diligently monitor all new developments in the rapidly evolving DNA research field allowing us to provide you immediate access to more meaningful markers than any other DNA testing firm. - Better Security: Because Pathway Genomics has its own laboratory, your DNA never leaves the building, and is never shared with third parties. At Pathway Genomics the integrity of your genetic material and information are protected. Instead, enjoy the security of our proprietary DNA Lockbox. Everyone has the right to know the secrets hidden within their own DNA. That's why Pathway has created the most secure, comprehensive and affordable way to unlock those secrets. This way you can: - Identify genetic health and drug response - Personalize your medical care - Help your doctor help you - Uncover your ancestral path - Explore the traits that make you unique With Personal DNA Testing, you can take preventative steps to improve your future, and even extend your life. Pathway Genomics provides cutting-edge research and easy-to-read scientific information customized for you, and you alone, based on your genes and your lifestyle. For the first time in human history, modern science has made it possible for you to learn your genetic predisposition for more than 90 diseases and conditions, drug responses and pre-pregnancy carrier status. With this powerful knowledge and our easy-to-understand guidance, you can modify your health regime so that you may live a healthier, longer life. DNA testing will discover more about your personal heritage than you ever thought possible. We uncover your deep ancestry by taking giant leaps into the past, going back more than 10,000 years. We test both your mitochondrial DNA, which is passed down from mother to child and reveals your direct maternal ancestry; and your Y chromosome (males only), which is passed down from father to son and reveals your direct paternal ancestry. If you're like most people, you've always wondered about the genes you have inherited and what traits you will pass on to future generations. Discover your genetically inherited predispositions and characteristics and whether they are beneficial or potentially harmful. You may also find that some traits are simply fun to uncover.

Proper citation: Pathway Genomics (RRID:SCR_002883) Copy   

•   Source: SciCrunch Registry

http://projects.tcag.ca/lafora/

The Lafora database is a repository of information related to progressive myoclonus epilepsy mutation and polymorphism data. Users may view all mutations in the database(Mutations of EPM2A and NHLRC1(EPM2B)), click on individual exons for mutations, or search the database by keyword. Nucleotide and amino acids positions were assigned based on the GenBank reference sequence NM_005670 for EPM2A and NM_198586 for EPM2B. The data can be viewed using the XRT Table Browser, and where possible, links to external sources such as NCBI, PubMed are provided. At this time, the database is under development. The BioXRT (Cross-Referenced Tables) Table Browser is a highly configurable tool for viewing complex, table based information. The tables can be displayed using pre-set options, or customized to view arbitrary subsets of rows, columns or other features.

Proper citation: Lafora Progressive Myoclonus Epilepsy Mutation and Polymorphism Database (RRID:SCR_002919) Copy   

•   Source: SciCrunch Registry