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http://bpg.utoledo.edu/~afedorov/lab/eid.html

Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames.

Proper citation: EID: Exon-Intron Database (RRID:SCR_002469) Copy   

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http://journal.code4lib.org/

This article is an appeal to technically-oriented library staff to initiate collaborative, bottom-up data-analysis efforts across their libraries. We discuss successful strategies used at North Carolina State University (NCSU) Libraries for initiating cross-departmental outreach for data-analysis work, as well as structuring and storing data, and disseminating findings. We present several specific examples of collaborative data-analysis projects undertaken at NCSU Libraries. Although the primary goal of the Code4Lib Journal is to provide practical solutions for technologists working in libraries, it has a lot to offer non-technologists. Technology affects all of the work that our libraries are doing and will define what the future of libraries will look like.

Proper citation: Code4Lib Journal (RRID:SCR_004687) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29358&a=31598&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Project creating a DNA biobank from persons admitted to the neurointensive care unit of the Karolinska University Hospital to study possible genetic influences in traumatic brain injuries (TBI). Serum and cerebrospinal fluid sampled during the subacute phase are also collected. Samples were collected prospectively from clinically well characterized patients to allow for studies of association between candidate genes and clinical outcome parameters or biomarkers for relevant disease processes. The aim is to collect samples from 200-400 individuals. Samples will be collected from TBI patients at up to three different occasions. At first sampling, whole blood, serum and liquor will be collected and at the second and third occasions only serum and liquor.

Proper citation: KI Biobank - TBI (RRID:SCR_005897) Copy   

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http://ki.se/en/imm/eims-an-epidemiological-investigation-of-risk-factors-for-multiple-sclerosis

A multi-center population based epidemiological investigation of risk factors for Multiple Sclerosis (MS), where lifestyle- and environmental factors are examined systematically with concurrent genetic information. Newly diagnosed cases of MS in a geographically defined population and randomly chosen controls are identified and asked to answer a questionnaire on lifestyle, previous exposures at work, home and during spare time activities. For both cases and controls blood samples are taken for analysis of putative risk genes since environmental exposures probably contributes to disease only in individuals with certain genotypes. Exposures of interest are different sociodemographic factors, smoking, sunlight exposure, oral contraceptives / hormonal factors, butyrophilin (a milk protein), vaccinations, infections, atopic disease, organic solvents, mineral oils and a number of different psychosocial factors, such as critical lifetime events. Data from more than 1600 cases and 3200 controls are currently collected. (August 2014) The intention is to continue with the data collection over several years in order to analyse how genes and environment interact. The study is a collaboration between different institutions at Karolinska Institutet and neurological centers from 38 different hospitals in Sweden. Sample types * EDTA whole blood * DNA * Plasma * Serum

Proper citation: KI Biobank - EIMS (RRID:SCR_005898) Copy   

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http://ki.se/en/imm/gems-genes-and-environment-in-multiple-sclerosis

The study subjects invited to participate is chosen from the Swedish national Multiple Sclerosis registry and will number around 10 000 individuals to be included during two to three years. The same number of matched controls will also be included in the study. A pilot study with around 100 participants was performed during 2009, and the large scale study started in November 2009. Multiple sclerosis (MS) is a neurological disease that affects the central nervous system. It affects young people and the debut age is between 20 and 40 years. The disease comes with exacerbations but further on leads to disability. The incidence in Sweden is around 5 per 100 000 per year and the prevalence is 125 per 100 000 inhabitants. In total there are estimated around 13000 cases in Sweden and today 9000 of them are registered in the Swedish National Multiple Sclerosis register. Sample types * EDTA whole blood * DNA * Plasma Number of sample donors: 5592 (June 2010)

Proper citation: KI Biobank - GEMS (RRID:SCR_005893) Copy   

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http://gaow.github.io/genetic-analysis-software/l-1.html#ldsupport

Software application (entry from Genetic Analysis Software)

Proper citation: LDSUPPORT (RRID:SCR_007036) Copy   

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http://www.geisinger.org/research/centers_departments/genomics/mycode/mycode.html

By collecting and analyzing blood samples from Geisinger''s large patient population, MyCode will help unlock the mysteries of some of the most devastating and debilitating diseases. Blood samples are obtained from patients of certain Geisinger specialty clinics to study specific conditions, such as obesity and cardiovascular disease, and also from patients of Geisinger primary care clinics to provide a representative sample of the regional population. More than 60,000 samples from over 23,000 Geisinger patients have been collected so far, and sample collection is ongoing. MyCode researchers use the blood samples to study the genetic causes of diseases and certain disease-related molecular mediators. Knowledge gained from these studies will allow researchers to pursue innovative approaches to disease prevention, diagnosis and treatment. To be of value for Genomic Medicine research, bio-banked samples must be connected to clinical data: MyCode allows genetic and molecular data about the samples to be connected to medical data in a way that protects patient identity. When a patient agrees to participate in MyCode, blood samples for the MyCode Project are collected during blood draws ordered as part of the patient''s routine medical care. After the sample is drawn and labeled, a staff member from the Weis Center for Research transports the blood to the Geisinger Clinic Genomics Core (GCGC) where it is processed for storage. At this stage, all personal identification markers are removed and the samples are assigned a randomly-selected identification number. A secure key is maintained that allows approved researchers to connect the samples to the clinical data for genomic studies in a way that ensures confidentiality of the information. To maintain confidentiality of MyCode data the code linking the research numbers and the electronic health records are kept in a password-protected files accessible only to MyCode team members. Additionally, all results generated from the samples are reported as a group so that individuals are not identified. The samples are stored indefinitely.

Proper citation: Geisinger Biobank (RRID:SCR_005652) Copy   

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https://www.jurgott.org/linkage/LinkagePC.html

Standard software package for genetic linkage called LINKAGE. Genetic linkage analysis is statistical technique used to map genes and find approximate location of disease genes.

Proper citation: LINKAGE (RRID:SCR_007033) Copy   

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http://www.wesbarris.com/mapcreator/

Software application to create gene maps using either radiation hybrid data or linkage data (entry from Genetic Analysis Software)

Proper citation: MAPCREATOR (RRID:SCR_008001) Copy   

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http://www.sph.umich.edu/csg/abecasis/GOLD/

Software package that provides a graphical summary of linkage disequilibrium in human genetic data. The graphical summary is well suited to the analysis of dense genetic maps, where contingency tables are cumbersome to interpret. An interface to the Simwalk2 application allows for the analysis of family data.

Proper citation: Graphical Overview of Linkage Disequilibrium (RRID:SCR_007151) Copy   

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https://neuinfo.org/mynif/search.php?q=*&t=literature

Simultaneous search across multiple literature indices, including PubMed and Open Access literature, it is one of the core resources of NIF accessed through the NIF search interface. Literature results are displayed under the Literature tab. Features: * Facet by Year, Author, and / or Journal * Option to search open access literature only * Sort by relevance or year * Snippets from the full text of the paper are included in search results where search term was found * LinkOuts are now provided for some papers. These mean that someone associated a reagent, piece of data, note/blog, etc., with this specific publication. * Searching within sections of articles is now possible within the open access literature. For more info, see, http://neuinfo.org/about/release_notes_4.5.shtm#search. * Annotate papers. Any user can submit a public comment or annotation of an open access paper through the DOMEO tool. For more information, see http://neuinfo.org/about/release_notes_4.5.shtm#annotate

Proper citation: NIF Literature (RRID:SCR_005401) Copy   

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http://pubmatrix.grc.nia.nih.gov/

PubMatrix is a web-based tool that allows simple text based mining of the NCBI literature search service PubMed using any two lists of keywords terms, resulting in a frequency matrix of term co-occurrence. PubMatrix is a simple way to rapidly and systematically compare any list of terms against any other list of terms in PubMed. It reports back the frequency of co-occurrence between all pairwise comparisons between the two lists as a matrix table. Lists of terms can be anything; gene names, diseases, gene functions, authors, etc. The user can then quickly sort or browse the frequency matrix table to do individual searches independently. This allows the user to build up tables of word relationships in PubMed in the context of your experiments or your scientific interests. This is useful for analyzing combinatorial datasets, as found with multiplex experimental systems, such as cDNA microarrays, genomic, proteomic, or other multiplex comparisons. The PubMatrix database is an archive of previous searches on many topics. Sponsors: PubMatrix is supported by the National Institutes of Health.

Proper citation: PubMatrix (RRID:SCR_008236) Copy   

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http://pubcrawler.gen.tcd.ie/

PubCrawler is a free alerting service that scans daily updates to the NCBI Medline (PubMed) and GenBank databases. PubCrawler helps keeping scientists informed of the current contents of Medline and GenBank, by listing new database entries that match their research interests. The free PubCrawler web service has been operating for five years and so far has brought literature and sequence updates to over 22 000 users. It provides information on a personalized web page whenever new articles appear in PubMed or when new sequences are found in GenBank that are specific to customized queries. The server also acts as an automatic alerting system by sending out short notifications or emails with the latest updates as soon as they become available. PubCrawler searches the NCBI PubMed (Medline) and Entrez (GenBank) databases daily using search parameters (keywords, author names, etc.) specified by the user. There is no limit on the number of searches that can be carried out. Previous search hits are stored and only the newest PubMed or GenBank records are shown each day. The results are presented as an HTML Web page, similar to the results of an NCBI PubMed or Entrez query. This Web page can be located on our computer (the PubCrawler WWW-Service), on your computer (the stand-alone program), or you can receive it via e-mail (set this up using the PubCrawler WWW-Service). The Web page sorts the results into groups of PubMed/GenBank entries that are zero-days-old, 1-day-old, 2-days-old, etc., up to a user-specified age limit. Sponsors: Development of PubCrawler was supported by EMBnet

Proper citation: PubCrawler (RRID:SCR_008235) Copy   

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http://bios.ugr.es/BMapBuilder/

Software application (entry from Genetic Analysis Software)

Proper citation: BMAPBUILDER (RRID:SCR_007264) Copy   

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http://xgc.nci.nih.gov/

NIH initiative to support production of cDNA libraries, clones and 5'/3' sequences and to provide set of full-length (open reading frame) sequences and cDNA clones of expressed genes for Xenopus laevis and Xenopus tropicalis. Clones distribution is outsourced to for profit companies. Project concluded in September 2008. Resources generated by XGC are publicly accessible to biomedical research community. All sequences are deposited into GenBank.Corresponding clones are available through IMAGE clone distribution network. With conclusion of XGC project, GenBank records of XGC sequences will be frozen, without further updates. Since knowledge of what constitutes full-length coding region for some of genes and transcripts for which we have XGC clones will likely change in future, users planning to order XGC 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: Xenopus Gene Collection (RRID:SCR_007023) Copy   

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http://dtp.nci.nih.gov/branches/btb/services.html

National Cancer Institute Biorepositories provides information on the tumor repository, animal production program, and access to other NIH Repositories. A catalog of in vitro cell lines, transplantable animal and human tumors and microarrays, including ordering information, is available. In the Animal Production Program, rodents are supplied to Federal Institutions and to grantees/contractors with a current OLAW Assurance on file. Requests from international entities seeking rodent strains solely available from the NCI Animal Production Program must have an OLAW Assurance or current AAALACi accreditation and will be evaluated on a case-by-case basis. In general, the rodents are supplied to the following: * Researchers at NCI-Frederick * NIH on-campus laboratories * NIH/NCI funded research contracts * NIH/NCI funded grantees * Other government agencies To meet the above needs, animal production contracts plus quality control contracts are used. The animal production contracts are used to propagate the NIH sublines of the strains. Many of the strains produced are not available commercially and the NCI program is the sole source of several lines.

Proper citation: National Cancer Institute Biorepositories (RRID:SCR_004789) Copy   

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http://www.ncri.org.uk/ccb/index.html

The Confederation of Cancer Biobanks (CCB) is a consortium of organisations based in the UK that are involved in the development, management and use of biobank resources for cancer research. The Confederation aims to promote and disseminate a collective view on best practices for biobanks and to promote transfer of knowledge and experiences between banks. While individual banks retain their full autonomy, membership leads to mutual benefit, ensures complementarities, avoids unnecessary competition and ensures a coordinated approach to cancer biosample provision. This will benefit all involved by allowing the sharing of expertise and information, the establishment of harmonized standards for the operation of cancer biobanks and provide a means to access a larger pool of biosamples from the confederated banks. The initial achievements of the NCRI Confederation of Cancer Biobanks were the drafting of a Memorandum of Understanding for the founder members of the Confederation, and a document outlining the Guiding Principles for the management and operation of a tissue bank / biobank in the contemporary ethical and legal setting. Any organization based in the UK, which collects and distributes biosamples for cancer research (not necessarily in the UK), may apply to join. CCB Members receive: * access to the Members Area of the web site containing shared resources * inclusion in email discussion fora with other members * networking opportunities with other members * inclusion in a collective voice to research funders, policy makers, legislators and others * inclusion in the NCRI''s new on-line sample directory * one free registration for each CCB workshop * a future opportunity to pursue accreditation/quality endorsement for the bank * a potential future opportunity for your donors to join a donor forum, which provides patients/sample donors with a mechanism of keeping in touch with research biobanking activities.

Proper citation: Confederation of Cancer Banks (RRID:SCR_006885) Copy   

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http://zgc.nci.nih.gov/

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   

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http://biopython.org

Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source code is made available under the Biopython License, which is extremely liberal and compatible with almost every license in the world. It works along with the Open Bioinformatics Foundation, who generously host it''s website, bug tracker, and mailing lists. Sponsor: This resource is supported by the Open Bioinformatics Foundation. Keywords: Tool, Software, Python, Biological, Computation, Bioinformatics,

Proper citation: Biopython (RRID:SCR_007173) Copy   

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http://www.yandell-lab.org/software/maker.html

Software genome annotation pipeline. Portable and easily configurable genome annotation pipeline. Used to allow smaller eukaryotic and prokaryotic genomeprojects to independently annotate their genomes and to create genome databases. MAKER identifies repeats, aligns ESTs and proteins to genome, produces ab-initio gene predictions and automatically synthesizes these data into gene annotations having evidence based quality values.

Proper citation: MAKER (RRID:SCR_005309) Copy   

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