Tools   Select Another Resource Report Type

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   

•   Source: SciCrunch Registry
  

http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application for TDT test on markers with more than two alleles using a logistic regression analysis. (entry from Genetic Analysis Software).

Proper citation: ETDT (RRID:SCR_007576) Copy   

•   Source: SciCrunch Registry
  

http://www.vetmed.lsu.edu/Summer_Scholars_Program.htm

The aim of the Summer Scholars Program is to provide veterinary medical students the opportunity to explore the world of biomedical research, develop and complete a biomedical research project during the summer. The intent is to engage students in a creative, problem-solving research activity and to provide a learning experience that will lead to the discovery of new knowledge in an area of their choosing and identify potential pathways to a career in biomedical research. Research plans will be developed by students with faculty mentor input, on any topic of interest to the student and likely to lead to the discovery of new information. Example topics are: immunology and infectious diseases, cancer biology, molecular epidemiology, experimental studies focused on nutrition and obesity, pharmacology, environmental toxicology, mechanisms of pathogenesis, zoonoses, biomechanics, cardiovascular pathophysiology, and others. The mentor and other advisors will provide guidance to students and an assessment of progress. Students will provide at completion of the study, an oral presentation of their results to their colleagues and all mentors and a presentation of results via posters at the annual Merial NIH National Veterinary Scholars Symposium, to be held in 2010 at the University of Georgia, and at the LSU Phi Zeta Research Emphasis Day. It is noteworthy that one Summer Scholar won an award at the 2008 LSU Phi Zeta Research Emphasis Day. LSU Students will receive elective credit in the curriculum (VMED 5010 or VMED 5463) for successful completion of the program. Students will be strongly encouraged to work with their mentors to publish their findings in peer-reviewed journals separately or as a smaller piece of work with their mentors. Sponsors: The program is funded by a Merial Foundation grant and an NIH T35 training grant.

Proper citation: Merial/NIH Veterinary Scholars Program (RRID:SCR_008301) Copy   

•   Source: SciCrunch Registry
  

http://www.vetmed.wisc.edu/ms-phd/

The Comparative Biomedical Sciences Graduate Degree program provides exceptional graduate research training in core areas of animal and human health including genomics, immunology, molecular and cellular biology, physiology, infectious disease, neuroscience, pharmacology and toxicology, and oncology. Seventy-five faculty members in a diverse number of UW departments including Bacteriology, Biochemistry, Medical Microbiology and Immunology, Medicine, Oncology, Pathology, Radiology in addition to the 4 departments of the School of Veterinary Medicine are trainers in the program. These internationally recognized professors, as well as the integrative nature of our program, provide outstanding and unique research opportunities for our students. Because the University of Wisconsin is consistently ranked as one of the best 10 graduate institutions in the nation, the strength of our program is not only due to the superb research and teaching of our faculty but also due to the University as a whole. Approximately 55 students, most of whom are Ph.D. candidates, are currently enrolled in the program. Research strategies and academic curricula are tailored to the specific needs of each individual student. Graduates from our program are highly successful in the biotechnology industry and at top-ranked research institutions in the U.S. and abroad. The Comparative Biomedical Sciences Graduate Program offers a diverse number of research opportunities in multiple fields of study. A brief description of some of the major areas of research being performed by faculty affiliated with the Comparative Biomedical Sciences Graduate Program is provided below. Use the pull down menu above or click on the heading to find faculty members doing research in these areas. Sponsors: CBMS is supported by the University of Wisconsin

Proper citation: Comparative Biomedical Sciences Graduate Program (RRID:SCR_008304) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

http://www-gene.cimr.cam.ac.uk/clayton/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Software application that tests for association between genetic marker and disease by examining the transmission of markers from parents to affected offspring. The main features which differ from other similar programs are: (1) It can deal with transmission of multi-locus haplotypes, even if phase is unknown, and (2) Parental genotypes may be unknown. (entry from Genetic Analysis Software)

Proper citation: TRANSMIT (RRID:SCR_007571) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

http://www.alz.washington.edu/

A clinical research, neuropathological research and collaborative research database that uses data collected from 29 NIA-funded Alzheimer's Disease Centers (ADCs). The database consists of several datasets, and searches may be done on the entire database or on individual datasets. Any researcher, whether affiliated with an ADC or not, may request a data file for analysis or aggregate data tables. Requested aggregate data tables are produced and returned as soon as the queue allows (usually within 1-3 days depending on the complexity).

Proper citation: National Alzheimer's Coordinating Center (RRID:SCR_007327) Copy   

•   Source: SciCrunch Registry
  

http://www.sanger.ac.uk/mouseportal/

Database of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen.

Proper citation: Sanger Mouse Resources Portal (RRID:SCR_006239) Copy   

•   Source: SciCrunch Registry
  

http://www.ccug.se/

The CCUG holds a broad range of bacteria and the most demanded test strains of filamentous fungi and yeasts. We do not hold extremophils or intracellular organisms and we do not distribute hazard group 3 organisms. Cultures are freeze-dried and may be sent abroad promptly under controlled forms. Our identification service has been active for 43 years. CCUG has huge databases and they are pleased to share the information with you through their search engine.

Proper citation: CCUG: Culture Collection; University of Goteborg; Sweden (RRID:SCR_006635) Copy   

•   Source: SciCrunch Registry
  

http://gaow.github.io/genetic-analysis-software/l/linkage---ceph/

Software application (entry from Genetic Analysis Software)

Proper citation: LINKAGE - CEPH (RRID:SCR_007048) Copy   

•   Source: SciCrunch Registry
  

http://compgen.rutgers.edu/multimap.shtml

Software program for automated construction of genetic maps (entry from Genetic Analysis Software)

Proper citation: MULTIMAP (RRID:SCR_007168) Copy   

•   Source: SciCrunch Registry
  

https://github.com/gaow/genetic-analysis-software/blob/master/pages/MAPMAKER%26SIBS.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. Data analysis software for complete multipoint analysis.

Proper citation: MAPMAKER/SIBS (RRID:SCR_008012) Copy   

•   Source: SciCrunch Registry
  

http://ccr.coriell.org/nia/

A cell repository containing cells and DNA for studies of aging and the degenerative processes associated with it. Scientists use the highly-characterized, viable, and contaminant-free cell cultures from this collection for research on such diseases as Alzheimer's disease, progeria, Parkinson's disease, Werner syndrome, and Cockayne syndrome. The collections of the Repository include DNA and cell cultures from individuals with premature aging disorders, as well as DNA from individuals of advanced age from the the Baltimore Longitudinal Study of Aging at the Gerontology Research Center and other Longevity Collections. The Repository also includes samples from an Adolescent Study of Obesity, Apparently Healthy Controls, Animal Models of Aging, and both human and animal differentiated cell types. The cells in this resource have been collected over the past three decades using strict diagnostic criteria and banked under the highest quality standards of cell culture. Scientists can use the highly-characterized, viable, and contaminant-free cell cultures from this collection for genetic and cell biology research.

Proper citation: Aging Cell Repository (RRID:SCR_007320) Copy   

•   Source: SciCrunch Registry
  

http://www.stat.washington.edu/thompson/Genepi/MORGAN/Morgan.shtml

Software programs for segregation and linkage analysis, using a variety of Markov chain Monte Carlo (MCMC) methods. Includes MCMC methods for multilocus gene identity by descent (including homozygosity mapping) and Monte Carlo Lod scores. Also, other programs for EM analysis of quantitative traits.

Proper citation: MORGAN (RRID:SCR_006906) Copy   

•   Source: SciCrunch Registry
  

http://www.pierroton.inra.fr/genetics/labo/Software/Famoz/index.html

Software application that uses likelihood calculation and simulation to perform parentage studies with codominant, dominant, cytoplasmic markers or combinations of the different types (entry from Genetic Analysis Software)

Proper citation: FAMOZ (RRID:SCR_007477) Copy   

•   Source: SciCrunch Registry
  

http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application that uses Monte Carlo method for assessing significance of a case-control association study with multi-allelic marker. (entry from Genetic Analysis Software).

Proper citation: CLUMP (RRID:SCR_007476) Copy   

•   Source: SciCrunch Registry
  

http://www.thomaskoenig.ch/Lester/ibaspm.htm

The aim of this work is to present a toolbox for structure segmentation of structural MRI images. All programs were developed in MATLAB based on a widely used fMRI, MRI software package, SPM99, SPM2, SPM5 (Wellcome Department of Cognitive Neurology, London, UK). Other previous works have developed a similar strategy for obtaining the segmentation of individual MRI image into different anatomical structures using a standardized Atlas. Have to be mentioned the one introduced by Montreal Neurological Institute (MNI) that merges the information coming from ANIMAL (algorithm that deforms one image (nonlinear registration) to match previously labelled) and INSECT (Cerebral Tissue Classification) programs for obtaining a suitable gross cortical structure segmentation (Collins et al, 1999). Here both, nonlinear registration and gray matter segmentation processes have been performed through SPM99, SPM2, SPM5 subroutines. Three principal elements for the labeling process are used: gray matter segmentation, normalization transform matrix (that maps voxels from individual space to standardized one) and MaxPro MNI Atlas. All three are combined to yield a good performance in segmenting gross cortical structures. The programs here can be used in general for any standardized Atlas and any MRI image modality. System Requirements: 1. The IBASPM graphical user interface (GUI) runs only under MATLAB 7.0 or higher. The non-graphical version runs under MATLAB 6.5 or higher. 2. Statistical Parametrical Mapping Software SPM2, SPM5 Main Functions: * Atlasing: Main function ( This file contains spm_select script from SPM5 toolbox and uigetdir script from MATLAB 7.0 ). * Auto_Labeling : Computes individual atlas. * Create_SPAMs : Constructs Statistical Probability Anatomy Maps (SPAMs). * Create_MaxProb : Creates Maximum Probability Atlas (MaxPro) using the SPAMs previously computed. * All_Brain_Vol : Computes whole brain volume masking the brain using the segmentation files (if the segmentation files does not exist it segments). * Struct_Vol : Computes the volume for different structures based on individual Atlas previously obtained by the atlasing process. * Vols_Stats : Computes mean and standard deviation for each structure in a group of individual atlases.

Proper citation: IBASPM: Individual Brain Atlases using Statistical Parametric Mapping Software (RRID:SCR_007110) Copy   

•   Source: SciCrunch Registry
  

http://liweilab.genetics.ac.cn/tm/

Web-based tool used to mine human protein-protein interactions (PPIs) from PubMed abstracts based on their co-occurrences and interaction words, followed by evidencs in human PPI databases and shared terms in GO database.

Proper citation: Human Protein-Protein Interaction Mining Tool (RRID:SCR_008040) Copy   

•   Source: SciCrunch Registry