Tools   Select Another Resource Report Type

http://code.google.com/

Developer tools, APIs and resources. Search developers.google.com and code.google.com.

Proper citation: Google Code (RRID:SCR_005786) 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://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   

•   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://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   

•   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://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   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

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   

•   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
  

http://www.bcgsc.ca/platform/bioinfo/software/alea

A computational software toolbox for allele-specific (AS) epigenomics analysis. It incorporates allelic variation data within existing resources, allowing for the identification of significant associations between epigenetic modifications and specific allelic variants in human and mouse cells. It provides a customizable pipeline of command line tools for AS analysis of next-generation sequencing data (ChIP-seq, RNA-seq, etc.) that takes the raw sequencing data and produces separate allelic tracks ready to be viewed on genome browsers. ALEA takes advantage of the available genomic resources for human (The 1000 Genomes Project Consortium) and mouse (The Mouse Genome Project) to reconstruct diploid in-silico genomes for human or hybrid mice under study. Then, for each accompanying ChIP-seq or RNA-seq dataset, it generates two Wiggle track format (WIG) files from short reads aligned differentially to each haplotype.

Proper citation: ALEA (RRID:SCR_006417) Copy   

•   Source: SciCrunch Registry
  

http://www.vivo.colostate.edu/molkit/index.html

The Molecular Toolkit is a group of programs for analysis and manipulation of nucleic acid and protein sequence data. The programs are written in Java (1.0) and require that your browser support this language. Also, it''s best if your monitor supports a screen resolution of at least 800x600. Nucleic Acid Analysis and Manipulation Programs: *Dot Plots - Examine the similarity of two DNA (or RNA) sequences by production of a similarity matrix displayed as a dot plot. *Manipulate and Display Sequences - Perform simple manipulations on a DNA sequence (inverse, complement, inverse-complement, double-stranded etc). *Restriction Maps - Generate graphical and text-based maps for restriction endonuclease cleavage of DNA. *Translate - Translate a DNA or RNA sequence and obtain graphical and text depictions of the resulting protein sequences. Protein Analysis Programs *Reverse Translate - Reverse translate a protein sequence into DNA. *Protein Composition - Obtain the amino acid composition of a protein. *Hydrophobicity Plots - Plot hydrophobic and hydrophilic domains of a protein.

Proper citation: Molecular Toolkit (RRID:SCR_007068) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

http://wpicr.wpic.pitt.edu/WPICCompGen/

Software application (entry from Genetic Analysis Software)

Proper citation: R/SPECTRAL-GEM (RRID:SCR_007414) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/

Software repository for R packages related to analysis and comprehension of high throughput genomic data. Uses separate set of commands for installation of packages. Software project based on R programming language that provides tools for analysis and comprehension of high throughput genomic data.

Proper citation: Bioconductor (RRID:SCR_006442) Copy   

•   Source: SciCrunch Registry
  

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application for calculation of the restricted likelihood-ratio affected sib-pair test for linkage allowing for imprinting (entry from Genetic Analysis Software)

Proper citation: ILR (RRID:SCR_007895) Copy   

•   Source: SciCrunch Registry
  

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   

•   Source: SciCrunch Registry
  

https://scicrunch.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 15, 2017. Software application (entry from Genetic Analysis Software)

Proper citation: S (RRID:SCR_007646) Copy   

•   Source: SciCrunch Registry