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http://www.ncbi.nlm.nih.gov/Genbank/

NIH genetic sequence database that provides annotated collection of all publicly available DNA sequences for almost 280 000 formally described species (Jan 2014) .These sequences are obtained primarily through submissions from individual laboratories and batch submissions from large-scale sequencing projects, including whole-genome shotgun (WGS) and environmental sampling projects. Most submissions are made using web-based BankIt or standalone Sequin programs, and GenBank staff assigns accession numbers upon data receipt. It is part of International Nucleotide Sequence Database Collaboration and daily data exchange with European Nucleotide Archive (ENA) and DNA Data Bank of Japan (DDBJ) ensures worldwide coverage. GenBank is accessible through NCBI Entrez retrieval system, which integrates data from major DNA and protein sequence databases along with taxonomy, genome, mapping, protein structure and domain information, and biomedical journal literature via PubMed. BLAST provides sequence similarity searches of GenBank and other sequence databases. Complete bimonthly releases and daily updates of GenBank database are available by FTP.

Proper citation: GenBank (RRID:SCR_002760) Copy   

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http://cpc.cbi.pku.edu.cn/

A Support Vector Machine-based classifier to assesses the protein-coding potential of a transcript based on six biologically meaningful sequence features. CPC can discriminate coding from noncoding transcripts with high accuracy and speed. In addition to predicting the coding potential of the input transcripts, the CPC web server also graphically displays detailed sequence features and additional annotations of the transcript that may facilitate users' further investigation. The coding potential calculator tool reads FASTA data format as input.

Proper citation: Coding Potential Calculator (RRID:SCR_002764) Copy   

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http://www.jax.org/smsr/index.html

Resource of special strains of mice that are valuable tools for genetic analysis of complex diseases. They include panels of recombinant inbred (RI) and chromosome substitution (CS) strains.

Proper citation: Special Mouse Strains Resource (RRID:SCR_002885) Copy   

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http://berkeleybop.org/pkb/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This interface is for exploring data collected as part of the NIF Neurodegenerative Disease Ontology project. Not generally intended for public consumption yet, but people are welcome to look - large caveat emptor applies. Sponsors: This resource is part of the NIF project.

Proper citation: OBD-PKB Interface (RRID:SCR_002882) Copy   

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http://cbio.mskcc.org/

Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling

Proper citation: Computational Biology Center (RRID:SCR_002877) Copy   

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http://www.gabipd.org/

Database that collects, integrates and links all relevant primary information from the GABI plant genome research projects and makes them accessible via internet. Its purpose is to support plant genome research in Germany, to yield information about commercial important plant genomes, and to establish a scientific network within plant genomic research.
GreenCards is the main interface for text based retrieval of sequence, SNP, mapping data etc. Sharing and interchange of data among collaborating research groups, industry and the patent- and licensing agency are facilitated.
* GreenCards: Text based search for sequence, mapping, SNP data etc. * Maps: Visualization of genetic or physical maps. * BLAST: Secure BLAST search against different public databases or non-public sequence data stored in GabiPD. * Proteomics: View interactive 2D-gels and view or download information for identified protein spots. Registered users can submit data via secure file upload.

Proper citation: Gabi Primary Database (RRID:SCR_002755) Copy   

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http://www.mct.gov.br/index.php/content/view/323883.html

Proper citation: Brazilian Ministry of Science Technology and Innovation (RRID:SCR_002876) Copy   

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

Software R library performing differntial analysis for count-based sequencing data. It detectes differentially expressed genes (DEGs) from RNA-seq, and differentially methylated loci or regions (DML/DMRs) from bisulfite sequencing (BS-seq). The core of DSS is a new dispersion shrinkage method for estimating the dispersion parameter from Gamma-Poisson or Beta-Binomial distributions.

Proper citation: DSS (RRID:SCR_002754) Copy   

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http://sumsdb.wustl.edu/sums/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures

Proper citation: SumsDB (RRID:SCR_002759) Copy   

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http://www.srnt.org/

With over a thousand members, including many of the top experts on nicotine and tobacco from over 20 countries around the world, the Society for Research on Nicotine and Tobacco's mission is to stimulate the generation of new knowledge concerning nicotine in all its manifestations - from molecular to societal. The Society has the following goals: 1. To sponsor scientific meetings and publications fostering the exchange of information on the biological, behavioral, social, and economic effects of nicotine; these activities shall include basic research and research on mechanisms of action and the use of nicotine as a probe for studying nervous systems function as well as applied research on the behavioral and pharmacological aspects of tobacco use, nicotine dependence, the therapeutic uses of nicotine, and related areas. 2. To encourage scientific research on public health efforts for the prevention and treatment of cigarette and tobacco use. 3. To provide the means by which various legislative, governmental, regulatory, and other public agencies and the ethical drug industry can obtain expert advice and consultation on critical issues concerning tobacco use, nicotine dependence, and the therapeutic uses of nicotine. Membership dues will be used to plan an annual meeting, to publish a newsletter, to compile a directory, to conduct advocacy and liaison activities for nicotine research, and to begin work on professional publications such as a journal. Though the Society will meet at least once per year in North America and will be incorporated in the United States, the intent is to be international in scope, with co-sponsorship of meetings in other countries and active recruitment of members outside the United States. By clicking on the various links on the website you can gain access to further information about the society, its publications, activities and membership. In 2004, the Society for Research on Nicotine and Tobacco celebrated the tenth anniversary of its founding. During its first decade, the Society grew from around 100 to over 900 members, sponsored well-attended annual meetings and highly-influential satellite conferences to promote research, provided timely electronic and print services to increase the flow of information, and founded a new peer-reviewed journal (Nicotine and Tobacco Research: The Journal of SRNT) to facilitate communication of scientific advances. The record documents considerable progress in meeting the objective of the Society to stimulate new knowledge about nicotine in all its manifestations. As part of SRNT's Decade One celebration, two projects were developed to commemorate its achievements and help preserve its collective memory. The first is an article by two past presidents, Ovide Pomerleau and John Hughes, entitled With a little help from its friends: A brief history of the Society for Research on Nicotine and Tobacco, published in the Societys journal, Nicotine and Tobacco Research. The second is a series of e-interviews with each of SRNTs first ten presidents. A brief structured interview was designed, and the former presidents were invited to respond in writing to each question in as little or as much detail as desired. An open-ended question was provided at the end to allow for more free-form commentary. The results of this effort can be accessed via the links below.

Proper citation: Society for Research on Nicotine and Tobacco (RRID:SCR_002753) Copy   

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https://github.com/nichtich/marginalia/wiki/Support-of-PDF-annotations

Wiki that provides a listing (and associated links) of various formats to store and export annotations. Apparently everyone uses his own proprietary format to store and export annotations. The FDF format (or better its XML variant XFDF) is or was used by Acrobat to store form values and annotations, but third-party implementations focus on the forms-part of FDF instead of the annotations-part. * XML Forms Data Format Specification (XFDF) 2.0 (2007). * iText classes (no full FDF/XFDF implementation) ** FdfReader ** FdfWriter ** XfdfReader * The commercial software Adobe Digital Editions explicitly supports external annotations. The FAQ says Digital Editions supports bookmarks, highlights, and text notes via its bookmarks panel. These annotations are stored in an open XML format separately from publications to enable seamless annotation across PDF- and EPUB-based publications. They will set the stage for future social networking features (such as sharing annotations within a community of readers). * Okular has its own annotation exchange format, similar to PDF annotation (comparison is needed) ** internal API documentation ** There is no file format documentation, but the source code is mainly in the methods AnnotationUtils storeAnnotation and Annotation store * Xournal is open source and allows some annotation, but its PDF reading ability is very limited. It also uses its own format to store annotations * Mendeley supports annotations, which can be synced independent from the PDF files they refer to, and exported together with PDFs. There is no documentation of the API and format they use to exchange annotations. * Evernote is worth a view. But proprietary and no Linux client. * iAnnotate seems to be popular on the iPad - can it export and import annotations? In which format? There is a good article by Scott McLeod with screenshots about his use of iAnnotate and Evernote to take notes (June 15, 2010). http://blogs.edweek.org/edweek/LeaderTalk/2010/06/tools_for_school_digital_docum.html

Proper citation: Support-of-PDF-annotations (RRID:SCR_002871) Copy   

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http://lab.rockefeller.edu/tuschl/

RNA is not only a carrier of genetic information, but also a catalyst and a guide for sequence-specific recognition and processing of other RNA molecules. This lab investigates the regulatory mechanisms of RNA interference, RNA-mediated translational control, and nuclear pre-mRNA splicing. Classical and combinatorial biochemical techniques are used to analyze the function of the RNA- and protein-components involved in those processes.

Proper citation: Tuschl Laboratory: RNA Molecular Biology (RRID:SCR_002866) Copy   

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

A software package that provides a comprehensive set of functions for parsing, viewing and modifying BioPAX pathway data within R. At the moment BioPAX level 2 and level 3 are supported.

Proper citation: rBiopaxParser (RRID:SCR_002744) Copy   

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http://sncid.stanleyresearch.org/

A database of 1749 neuropathological markers measured in 12 different brain regions from 60 brains in the Consortium Collection from the Stanley Medical Research Institute combined with microarray data and statistical tools. Fifteen brains each are from patients diagnosed with schizophrenia, bipolar disorder, or major depression, and unaffected controls. The four groups are matched by age, sex, race, postmortem interval, pH, side of brain, and mRNA quality. A Repository of raw data is also included. Users must register for access.

Proper citation: Stanley Neuropathology Consortium Integrative Database (RRID:SCR_002749) Copy   

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http://insitu.fruitfly.org/cgi-bin/ex/insitu.pl

Database of embryonic expression patterns using a high throughput RNA in situ hybridization of the protein-coding genes identified in the Drosophila melanogaster genome with images and controlled vocabulary annotations. At the end of production pipeline gene expression patterns are documented by taking a large number of digital images of individual embryos. The quality and identity of the captured image data are verified by independently derived microarray time-course analysis of gene expression using Affymetrix GeneChip technology. Gene expression patterns are annotated with controlled vocabulary for developmental anatomy of Drosophila embryogenesis. Image, microarray and annotation data are stored in a modified version of Gene Ontology database and the entire dataset is available on the web in browsable and searchable form or MySQL dump can be downloaded. So far, they have examined expression of 7507 genes and documented them with 111184 digital photographs.

Proper citation: Patterns of Gene Expression in Drosophila Embryogenesis (RRID:SCR_002868) Copy   

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http://biodbcore.org

A community-defined, uniform, generic description of the core attributes of biological databases. The BioDBCore checklist is overseen by the International Society for Biocuration (ISB), in collaboration with the BioSharing forum. A catalogue of databases, described according to the BioDBcore guidelines, along with the standards used within them have been partly compiled with the support of Oxford University Press and Re3Data.org. Database providers are encouraged to either create or claim their BioDBCore entry and update it as appropriate., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: bioDBcore (RRID:SCR_002781) Copy   

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https://www.drugabuse.gov/publications/drugfacts/genetics-epigenetics-addiction

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. An archived video on the web providing comprehensive and hands-on training in genetics and epigenetic methodology. The purpose of the course is to provide an introduction to approaches and tools for identifying genes that confer vulnerability to addiction and individual differences in responses to treatments. The course is targeted to those who are new to the field of addiction genetics. The course was held over 5 days with lectures and hands-on demonstrations given each day. Viewers of the course will gain familiarity with conceptual and practical approaches to complex disorders using relevant genetic and epigenetic databases, and appropriate statistical and empirical approaches. Topics covered Behavioral genetics, genetic epidemiology, twin and adoption studies, statistical genetic concepts and approaches for mapping complex traits, haplotype based approaches for association mapping, genome-wide scans for addictive disorders, application of linkage for mapping genes and genetic loci for addictive disorders, pharmacogenomics of treatment of addictive disorders, Baysian Methods for identifying gene-gene interactions, analysis of copy number variation, practical use of genetic databases, mapping of complex traits in mice, methods for analyzing gene expression, and methods for doing epigenetic analysis are covered. The course was held April 4, 2008, at the Bethesda North Marriott Hotel and Conference Center, 5701 Marinelli Road, Bethesda, MD 20852.

Proper citation: Short Course on the Genetics and Epigenetics of Addiction National Institute on Drug Abuse: Archived Video (RRID:SCR_002783) Copy   

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http://genespeed.ccf.org/home/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Database and customized tools to study the PFAM protein domain content of the transcriptome for all expressed genes of Homo sapiens, Mus musculus, Drosophila melanogaster, and Caenorhabditis elegans tethered to both a genomics array repository database and a range of external information resources. GeneSpeed has merged information from several existing data sets including the Gene Ontology Consortium, InterPro, Pfam, Unigene, as well as micro-array datasets. GeneSpeed is a database of PFAM domain homology contained within Unigene. Because Unigene is a non-redundant dbEST database, this provides a wide encompassing overview of the domain content of the expressed transcriptome. We have structured the GeneSpeed Database to include a rich toolset allowing the investigator to study all domain homology, no matter how remote. As a result, homology cutoff score decisions are determined by the scientist, not by a computer algorithm. This quality is one of the novel defining features of the GeneSpeed database giving the user complete control of database content. In addition to a domain content toolset, GeneSpeed provides an assortment of links to external databases, a unique and manually curated Transcription Factor Classification list, as well as links to our newly evolving GeneSpeed BetaCell Database. GeneSpeed BetaCell is a micro-array depository combined with custom array analysis tools created with an emphasis around the meta analysis of developmental time series micro-array datasets and their significance in pancreatic beta cells.

Proper citation: GeneSpeed- A Database of Unigene Domain Organization (RRID:SCR_002779) Copy   

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http://liulab.dfci.harvard.edu/BINOCh/

Software that infers the identity of transcription factors used to regulate cell response to stimulus or determine a program of differentiation. It uses genome wide information on enhancer proximal nucleosome occupancy, acquired using ChIP-seq targeting enhancer related histone modifications., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 15,2026.

Proper citation: BINOCh (RRID:SCR_002778) Copy   

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http://www.nikoninstruments.com/Products/Software/NIS-Elements-Basic-Research

Software tool for acquisition and device control for standard research applications, requiring four dimensional imaging. Provides access to advanced image capture, archiving, and analysis solutions that are easy-to-use and provide maximum workflow. Handles multi dimensional imaging with support for capture, display, data management, analysis and additional options for peripheral device control, and multi-dimensional acquisition. Provides advanced image processing options such as database capabilities and report generation, intensity over time measurement, and Extended Depth of Focus functionality.

Proper citation: NIS-Elements Basic Research (RRID:SCR_002776) Copy   

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