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http://ccr.coriell.org/Sections/Collections/HuREF/?SsId=78

The Human Reference Genetic Material Repository makes available DNA from a single individual, J. Craig Venter, whose genome has been sequenced and assembled. The DNA samples are prepared from a lymphoblastoid cell line established at Coriell Cell Repositories from a sample of peripheral blood. The DNA samples are available in 50 microgram aliquots. The lymphoblastoid cell line is not available for distribution. The human DNA sample provided is that of J. Craig Venter whose DNA from white blood cells and sperm was sequenced using Sanger chemistry (ABI Capillary Electrophoresis Platforms 3700 and 3730xl), assembled using the Celera Assembler and was published in PLoS Biology . J. Craig Venter, born on 14 October 1946, is a Caucasian male of self-reported European-American ancestry. The data available on this sample, whose genome assembly is referred to as HuRef, includes: * Whole Genome Shotgun Sequencing data * Sequence trace set deposited by JCVI in the NCBI trace archive * Human Genome Browser displaying sequence assembly, DNA variants and gene annotations Additional data sets from this study include: * Full set of Sanger reads used for genome assembly * SNP and insertion/deletion variant on the human genome sequence coordinates (NCBI version 36) * Affymetrix 500K GeneChip data * Illumina HumanHap650Y Genotyping BeadChip data Given the amount of data publicly available the genomic content of this sample, HuRef will be useful as a reference for many genetic studies.

Proper citation: Human Reference Genetic Material Repository (RRID:SCR_004693) Copy   

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http://americaninstituteofstress.org/interviews/

From time to time the Editor of Health and Stress interviews leaders in the field of stress management on a variety of topics for inclusion in our publications. Some interviews are listed below. For a complete list of interviews and content, you must be a member of AIS and access the Archives.

Proper citation: American Institute of Stress Interviews (RRID:SCR_005420) Copy   

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http://www.well.ox.ac.uk/platypus

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software tool designed for efficient and accurate variant detection in high throughput sequencing data. Haplotype based variant caller for next generation sequence data.

Proper citation: Platypus (RRID:SCR_005389) Copy   

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http://www.spaintechnology.com/biotech/news/hiv-biobank.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on September 15, 2011. The Spanish HIV BioBank was created with the objectives of processing, storing and providing distinct samples from HIV/AIDS patients, categorized according to strictly defined characteristics, free of charge to research projects. Strict compliance to ethical norms is always guaranteed. HIV BioBank possesses nearly 50,000 vials containing different prospective longitudinal study sample types. More than 1,700 of these samples are now used in 19 national and international research projects. (2009) The HIV BioBank represents a novel approach to HIV research that might be of general interest not only for basic and clinical research teams working on HIV, but also for those groups trying to establish large networks focused on research on specific clinical problems. It also represents a model to stimulate cooperative research among large numbers of research groups working as a network on specific clinical problems. The HIV BioBank is able to very efficiently release samples to different research project not only in Spain but also in other countries.

Proper citation: HIV Biobank (RRID:SCR_004691) Copy   

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http://www.uni-bonn.de/~umt70e/soft.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application that calculates the sample size required for obtaining a prescribed power against a specified alternative for TDT. (entry from Genetic Analysis Software)

Proper citation: TDTPOWER (RRID:SCR_005021) Copy   

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http://www.gotaxexplorer.de/

The Functional Similarity Search Tool (FSST) has been implemented for comparing user defined sets of annotated entities. FSST supports the computation of functional similarity scores based on an individual ontology and of combined scores. Its multi-threaded Java implementation takes advantage of symmetric multi-processing computers, decreasing runtime considerably. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: FSST - Functional Similarity Search Tool (RRID:SCR_005819) Copy   

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https://reich.hms.harvard.edu/software

EIGENSOFT package combines functionality from our population genetics methods (Patterson et al. 2006) and our EIGENSTRAT stratification method (Price et al. 2006). The EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting correction is specific to a candidate marker''s variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. The EIGENSOFT package has a built-in plotting script and supports multiple file formats and quantitative phenotypes. Source code, documentation and executables for using EIGENSOFT 3.0 on a Linux platform can be downloaded. New features of EIGENSOFT 3.0 include supporting either 32-bit or 64-bit Linux machines, a utility to merge different data sets, a utility to identify related samples (accounting for population structure), and supporting multiple file formats for EIGENSTRAT stratification correction.

Proper citation: Eigensoft (RRID:SCR_004965) Copy   

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http://www.mssm.edu/research/institutes/institute-for-personalized-medicine/biobank

The Mount Sinai Biobank is a large collection of DNA and plasma samples that are stored in a way that protects patients'' privacy while allowing research to be performed on de-identified clinical information from Mount Sinai''s data warehouse system. The Biobank''s goal is to acquire samples from a total of 100,000 donors over a period of several years. Mount Sinai is one of only a handful of places nationwide establishing biobanks on such a large scale. Funded by the Charles R. Bronfman Institute for Personalized Medicine, the Biobank project is a research project that is approved by the Mount Sinai Institutional Review Board and is continuously reviewed. Biobank Facts: * 17947 donors between 18 and 89 years of age have already participated in Biobank. * 194111 aliquots of DNA and * 212005 aliquots of plasma are available for future research.

Proper citation: Mount Sinai Biobank (RRID:SCR_004845) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29354&a=31618&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The aim of the study is to estimate the importance of genetic (primary) and environmental factors for economic behavior by conducting a series of standard behavioral economics experiments on a sample of twins from the Swedish Twin Registry.

Proper citation: KI Biobank - Economical Behavior (RRID:SCR_005934) Copy   

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http://od1n.sourceforge.net

A C++ software framework to develop, simulate and run magnetic resonance sequences on different platforms.

Proper citation: Object-Oriented Development Interface for NMR (RRID:SCR_005974) Copy   

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http://ugene.unipro.ru/

A multiplatform open-source software to assist molecular biologists without much expertise in bioinformatics to manage, analyze and visualize their data. UGENE integrates widely used bioinformatics tools within a common user interface. The toolkit supports multiple biological data formats and allows the retrieval of data from remote data sources. It provides visualization modules for biological objects such as annotated genome sequences, Next Generation Sequencing (NGS) assembly data, multiple sequence alignments, phylogenetic trees and 3D structures. Most of the integrated algorithms are tuned for maximum performance by the usage of multithreading and special processor instructions. UGENE includes a visual environment for creating reusable workflows that can be launched on local resources or in a High Performance Computing (HPC) environment. UGENE is written in C++ using the Qt framework. The built-in plugin system and structured UGENE API make it possible to extend the toolkit with new functionality.

Proper citation: Unipro UGENE (RRID:SCR_005579) Copy   

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http://www.biological-networks.org/p/outliers/

Software that performs a morphology-based approach for the automatic identification of outlier neurons based on neuronal tree structures. This tool was used by Zawadzki et al. (2012), who reported on and its application to the NeuroMorpho database. For the analysis, each neuron is represented by a feature vector composed of 20 measurements, which are projected into lower dimensional space with PCA. Bivariate kernel density estimation is then used to obtain a probability distribution for cells. Cells with high probabilities are understood as archetypes, while those with the small probabilities are classified as outliers. Further details about the method and its application in other domains can be found in Costa et al. (2009) and Echtermeyer et al. (2011). This version requires Matlab (Mathworks Inc, Natick, USA) and allows the user to apply the workflow using a graphical user interface.

Proper citation: DONE: Detection of Outlier NEurons (RRID:SCR_005299) Copy   

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http://www.rand.org/labor/FLS/IFLS.html

A dataset of an on-going multi-level longitudinal survey in Indonesia that collects extensive information on socio-economic and demographic characteristics of respondents, as well as extremely comprehensive interviews with local leaders about community services and facilities. The survey is ideally suited for research on topics related to important dynamic aging processes such as the transition from self-sufficiency to dependency, the decline from robust health to frailty, labor force and earning dynamics, wealth accumulation and decumulation, living arrangements and intergenerational transfers. The first wave of IFLS was fielded in 1993 and collected information on over 30,000 individuals living in 7,200 households. The sample covers 321 communities in 13 provinces in Indonesia and is representative of about 83% of the population. These households were revisited in 1997 (IFLS2), 2000 (IFLS3), and 2007-8 (IFLS4). A 25% sub-sample of households was re-interviewed in 1998 (IFLS2+). Special attention is paid to the measurement of health, including the measurement of anthropometry, blood pressure, lung capacity, a mobility test and collection of dry blood spots by a nurse or doctor. In addition to comprehensive life history data on education, work, migration, marriage and child bearing, the survey collects very detailed information on economic status of individuals and households. Links with non co-resident family members are spelled out in conjunction with information on borrowing and transfers. Information is gathered on participation in community activities and in public assistance programs. Measurement of health is a major focus of the survey. In addition to detailed information about use of private and public health services along with insurance status, respondents provide a self-reported assessment of health status. Detailed information on the local economy and prices of goods and services are also collected. These data may be matched with the individual and household-level data. Considerable attention has been placed on minimizing attrition in IFLS. In each re-survey, about 95% of households have been re-contacted. Around 10-15% of respondents have moved from the location in which they were interviewed in the previous wave. In addition, individuals who split-off from the original households have been followed. They have added around 1,000 households to the sample in 1997 and about 3,000 households in 2000. Data Availability: IFLS1 data are available through ICPSR as study number 6706. Data from subsequent waves of the IFLS can be accessed from the RAND project Website. * Dates of Study: 1993-2008 * Study Features: Longitudinal, International, Anthropometric Measures, Biomarkers * Sample Size: ** 1993: 22,000 (IFLS1) ** 1997: 33,000 (IFLS2) ** 1998: 10,000 (IFLS2+) ** 2000: 37,000 (IFLS3) ** 2008: 44,103 (IFLS4) Links: * IFLS1 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06706 * IFLS ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00184

Proper citation: Indonesia Family Life Survey (RRID:SCR_005695) Copy   

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http://publications.nigms.nih.gov/computinglife/

An NIGMS magazine that showcases the exciting ways that scientists are using the power of computers to expand our knowledge of biology and medicine. From text messaging friends to navigating city streets with GPS technology, we''re all living the computing life. But as we''ve upgraded from snail mail and compasses, so too have scientists. Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through your school and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive and make us sick. This booklet introduces you to just some of the ways that physicists, biologists and even artists are computing life. Each section focuses on a different research problem, offers examples of current scientific projects and acquaints you with the people conducting the work. You can follow the links for online extras and other opportunities to learn aboutand get involved inthis exciting new interdisciplinary field.

Proper citation: NIGMS Computing Life (RRID:SCR_005850) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29358&a=31596&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. So far there is only limited knowledge about possible genetic influences in acute spinal cord injuries (SCI). In this project DNA is collected prospectively from persons with SCI admitted to the acute SCI rehabilitation unit of the Karolinska University Hospital. Trauma is the cause of injury in a majority of the patients. Other causes of injury are spinal abscesses, tumors or spinal infarctions. The aim of the project is to create a sufficiently large DNA biobank with samples from 200-400 individuals from clinically well characterized patients to allow for studies of association between candidate genes and clinical outcome parameters.

Proper citation: KI Biobank - SCI (RRID:SCR_005849) Copy   

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http://www.harzing.com/pop.htm

Software program that allows researchers to perform citation analysis and calculate various impact metrics. It uses Google Scholar to obtain the raw citations, then analyzes these and presents the following statistics: * Total number of papers * Total number of citations * Average number of citations per paper * Average number of citations per author * Average number of papers per author * Average number of citations per year * Hirsch''s h-index and related parameters * Egghe''s g-index * The contemporary h-index * The age-weighted citation rate * Two variations of individual h-indices * An analysis of the number of authors per paper. The results are available on-screen and can also be copied to the Windows clipboard (for pasting into other applications) or saved to a variety of output formats (for future reference or further analysis). The Publish or Perish software is a Microsoft Windows application that can also be installed and used on Apple Mac OS X and GNU/Linux computers, with the aid of a suitable emulator such as Wine or CrossOver Mac.

Proper citation: Publish or perish (RRID:SCR_005968) Copy   

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http://genetics.agrsci.dk/~bg/popgen/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Software application that calculates a number of different genetic identities, phylogeny reconstructing measures, and distance reconstructing measures (entry from Genetic Analysis Software)

Proper citation: POPDIST (RRID:SCR_004904) Copy   

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https://ccg.murdoch.edu.au/yabi/login/?next=/yabi/

A web-based analytical environment framework for bioinformatics applications that can be customized for a diverse range of -omics applications. The software system is adaptable to a range of both pluggable execution and data backends in an open source implementation. Enabling seamless and transparent access to heterogenous HPC environments at its core, it then provides an analysis workflow environment that can create and reuse workflows as well as manage large amounts of both raw and processed data in a secure and flexible way across geographically distributed compute resources. Yabi can be used via a web-based environment to drag-and-drop tools to create sophisticated workflows. It can also be accessed through the Yabi command line which is designed for users that are more comfortable with writing scripts or for enabling external workflow environments to leverage the features in Yabi. Configuring tools can be a significant overhead in workflow environments. Yabi greatly simplifies this task by enabling system administrators to configure as well as manage running tools via a web-based environment and without the need to write or edit software programs or scripts.

Proper citation: Yabi (RRID:SCR_005359) Copy   

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http://www.knhi.zks.uni-leipzig.de/en/Research/SP03/

The goal of this project is the creation of an extensive biomaterials bank. Materials (blood, serum, plasma, DNA) from all patients who participate in studies in the network will be collected for this purpose. The objective is a consistently high quality standard for the processing, storage and management of all samples. The biomaterials bank is an investment in the future by the network. It enables the competence network and the research community in general to acquire new scientific knowledge about the development, progression and prognosis of the different forms of heart failure. Each time a patient is documented in a study in the competence network, blood (EDTA whole blood and serum) is drawn from the patient, sent by post to the central biomaterials bank and processed there in the central incoming sample laboratory according to specified standards. In the first two subsidization periods, a total of 100,000 samples from approximately 10,000 patients was documented and processed (aliquoting, DNA extraction). These samples are stored in climate-controlled rooms used especially for this purpose at the biomaterial bank of the Experimental and Clinical Research Center (ECRC) in Berlin-Buch at temperatures between -20 and -80 degrees C. As the central infrastructure project for all samples, the biomaterials bank is deeply involved in the networking. There are also intensive collaborations with other competence networks (e.g. the Competence Network for Congenital Heart Defects) and biobanks. The biomaterial bank of the Heart Failure Competence Network also participates in domestic and European pilot projects for networking biomaterial banks (BBMRI, ESFRI, etc.). The goal of these projects is to develop uniform methods for sample processing and use.

Proper citation: Central Biomaterial Bank - German Heart Failure Network (RRID:SCR_004667) Copy   

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http://www.addgene.org/vector-database/

Vector database is a digital collection of vector backbones assembled from publications and commercially available sources. This is a free resource for the scientific community that is compiled by Addgene. Only the plasmids deposited at Addgene are available for purchase through this website.

Proper citation: Vector Database (RRID:SCR_005907) Copy   

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