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http://www.mayo.edu/research/departments-divisions/department-health-sciences-research/division-biomedical-statistics-informatics/software/bioinformatics-software-packages

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023. A free bioinformatics software tool to help identify fusion transcripts from paired-end transcriptome sequencing data. The source codes of SnowShoes-FTD are provided in two formats: one configured to run on the Sun Grid Engine for parallelization with shorter run time, and the other formatted to run on a single LINUX node.

Proper citation: SnowsShoes-FTD (RRID:SCR_000076) Copy   

•   Source: SciCrunch Registry

http://soap.genomics.org.cn/SOAPfusion.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 22,2022. An open source software tool for fusion discovery with paired-end RNA-Seq reads. The tool follows a different strategy by finding fusions directly and verifying them, differentiating it from all other existing tools by finding the candidate regions and searching for the fusions afterwards.

Proper citation: SOAPfusion (RRID:SCR_000079) Copy   

•   Source: SciCrunch Registry

http://www.iuphar.org/

Voluntary, non-governmental, non-profit pharmacologist association promoting international cooperation, sponsoring international and regional activities, encouraging free exchange of scientists and ideas, developing public awareness, establishing advisory committees. Has official relations with the World Health Organization (WHO). Helps pharmacologists to participate with other branches of science in international activities, either directly or under ICSU, WHO and UNESCO. Member of the International Council for Science (ICSU) and participates in the work of its scientific committees. Has its own publishing program. Pharmacology International, is published every June and December. Member Directory is maintained continually, as an online resource. Provides IUPHAR Receptor Database, major on-line repository of characterization data for receptors and drugs, and the IUPHAR Ion Channels Database. Official Reports from The IUPHAR Committee on Receptor Nomenclature and Drug Classification are published in Pharmacological Reviews. IUPHAR World Congresses of Pharmacology are held every few years.

Proper citation: International Union of Basic and Clinical Pharmacology (RRID:SCR_000135) Copy   

•   Source: SciCrunch Registry

http://cistrome.org

Web based integrative platform for transcriptional regulation studies.

Proper citation: Cistrome (RRID:SCR_000242) Copy   

•   Source: SciCrunch Registry

http://technelysium.com.au/?page_id=27

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31,2023. Software which is able to assemble data from 454 and Illumina next-generation sequencers, with up to 100,000 sequences if 2 Gb RAM is available.

Proper citation: ChromasPro (RRID:SCR_000229) Copy   

•   Source: SciCrunch Registry

https://www.synapse.org/

Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org.

Proper citation: CommonMind Consortium (RRID:SCR_000139) Copy   

•   Source: SciCrunch Registry

http://www.bzip.org/

A data compressor for files. This software is freely available, patent free, and is organized as a library with a programming interface.

Proper citation: bzip2 (RRID:SCR_000376) Copy   

•   Source: SciCrunch Registry

http://medicaldata.wikia.com/wiki/Main_Page

Portal serves as resource to understand the current state of medical data quality and the factors that affect it. The information is gathered from anecdotal and empirical examples from peer-reviewed journals, popular media and author contributions. Issues of importance include understanding and measuring medical data quality, contributing factors, best practices, and the effects of data quality on secondary uses of medical data.

Proper citation: Quality of Medical Data (RRID:SCR_000520) Copy   

•   Source: SciCrunch Registry

http://www.africacentre.ac.za/Biobank/tabid/460/Default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE, documented November 30, 2015. Extensive collection of biological specimens of various kinds that are mostly collected from the population around the Africa Centre in northern KwaZulu-Natal, but there are also specimens collected from populations in and around Durban and elsewhere in KwaZulu-Natal. The results of tests carried out on these specimens are generally stored in the main databases of the various studies involved, and are linkable back to the demographic and other data collected from the individuals concerned. The Biobank is curated by staff of the Africa Centre's Virology Laboratory in Durban, where all the specimens are currently stored, mostly in -80C freezers. A particular strength of its holdings are the dried blood spot (DBS), specimens five drops of blood on a filter-paper card, obtained via a finger-prick - of which there are now nearly 115,000. The following is a list of its holdings (May 2011): * 67,700 DBS specimens collected since late 2002 primarily for HIV prevalence estimation of the population covered by the Africa Centre Demographic Surveillance population. All have at least been tested for HIV, and just over 21% give a Positive result. Specimens are collected annually, so for some individuals we might have a sequence of 8-10 specimens covering 2002-2011. * 36,601 DBS specimens collected by the Vertical Transmission Study (VTS) between Sep 2001 and Dec 2006. This study focussed on mother-child pairs and investigated the vertical transmission of HIV from mother to child. DBS specimens were collected from both the mothers (at initial screening, and then from their children at Birth, 6, 10, 14, 18, 22 weeks, and 7, 8, 9, 12, 15, 18, 21 and 24 months. * 6,585 DBS specimens collected as part of the KZN IMPACT study of PMTCT effectiveness in six districts of kwaZulu-Natal. The specimens were collected during 2004-2006 from infants aged 4-8 weeks when mothers brought them to clinics for immunisation. These DBS specimens are stored at room temperature, not in freezers. * 3,524 DBS specimens collected as part of the Kesho Bora study from Sep 2007 . They were collected from mothers at enrollment, and from the infants at delivery, 2 weeks, and at 4, 5, 7, 8 and 15 months. * 50,068 Plasma specimens * 28,775 breastmilk specimens * 11,277 breastmilk products (Pellets and lactoserum). These have all been extracted from the BM specimens in prev. item? * 11,188 RNA and DNA products extracted from DBS and plasma specimens from all our major studies. * 5,735 Serum specimens * 3,505 cell pellets * 1,778 whole blood specimens * 1,284 Peripheral Blood Mononuclear Cells from the Kesho Bora study mothers (665) and their children (619) * 179 skin tissue specimens from the KST study (Kaposi's Sarcoma) * 176 foreskins

Proper citation: Africa Centre Biobank (RRID:SCR_000638) Copy   

•   Source: SciCrunch Registry

http://www.isrec.isb-sib.ch/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Computational Cancer Genomics (CCG) group is dedicated to the development of analysis tools and databases relating molecular sequences and biological functions. Sponsors: This group is supported by the Swiss Institute of Bioinformatics (SIB).

Proper citation: Computational Cancer Genomics Group (RRID:SCR_000772) Copy   

•   Source: SciCrunch Registry

http://neuromorphometrics.org:8080/nvm/index.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6, 2023. Software tool for quantitative neuroanatomical measurements in volumetric image data. Used to draw regions of interest for subsequent fMRI analysis.

Proper citation: NVM (RRID:SCR_000600) Copy   

•   Source: SciCrunch Registry

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

Non profit research organization for genome sequences to advance understanding of biology of humans and pathogens in order to improve human health globally. Provides data which can be translated for diagnostics, treatments or therapies including over 100 finished genomes, which can be downloaded. Data are publicly available on limited basis, and provided more extensively upon request.

Proper citation: Wellcome Trust Sanger Institute; Hinxton; United Kingdom (RRID:SCR_011784) Copy   

•   Source: SciCrunch Registry

https://www.immport.org/home

Data sharing repository of clinical trials, associated mechanistic studies, and other basic and applied immunology research programs. Platform to store, analyze, and exchange datasets for immune mediated diseases. Data supplied by NIAID/DAIT funded investigators and genomic, proteomic, and other data relevant to research of these programs extracted from public databases. Provides data analysis tools and immunology focused ontology to advance research in basic and clinical immunology.

Proper citation: The Immunology Database and Analysis Portal (ImmPort) (RRID:SCR_012804) Copy   

•   Source: SciCrunch Registry

https://www.mdc-berlin.de/8551903/en/research/research_teams/systems_biology_of_gene_regulatory_elements/projects/miRDeep

Software tool to identify known and novel miRNA genes in seven animal clades by analyzing sequenced RNAs. Used for discovering known and novel miRNAs from small RNA sequencing data.

Proper citation: miRDeep (RRID:SCR_010829) Copy   

•   Source: SciCrunch Registry

http://www.ime.fraunhofer.de/en.html

Provides assistance with consulting on experimental design, training on bioinformatics tools and databases, data quality assessment, data processing, data visualization, data interpretation, data mining of published datasets, and assistance with preparation of manuscripts and grant proposals.

Proper citation: Mainz Institute of Molecular Biology Bioinformatics Core Facility (RRID:SCR_011244) Copy   

•   Source: SciCrunch Registry

http://www.affymetrix.com/support/developer/powertools/apt_archive.affx

Affymetrix Power Tools (APT) are a set of cross-platform command line programs that implement algorithms for analyzing and working with Affymetrix GeneChip arrays. APT programs are intended for power users who prefer programs that can be utilized in scripting environments and are sophisticated enough to handle the complexity of extra features and functionality. APT provides platform for developing and deploying new algorithms without waiting for the GUI implementations. This resource is supported by Affymetrix, Inc.

Proper citation: Affymetrix Power Tools (RRID:SCR_008401) Copy   

•   Source: SciCrunch Registry

http://tuna.tamu.edu

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Map improvement server that returns a bias minimized, 6-fold averaged map generated from a model and diffraction data (with optional preceding Molecular Replacement). It does not build or repair the model for you (yet). For automated model building, you need to install a local copy of CCP4 and ARP/wARP (aka wARP&Trace), RESOLVE, MAID, or TEXTAL.

Proper citation: TB Consortium Bias Removal Server (RRID:SCR_008425) Copy   

•   Source: SciCrunch Registry

http://www.broad.mit.edu/cancer/software/genecluster2/gc2.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding supervised classification, gene selection, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting (WV) and k-nearest neighbor (KNN) algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. It enhances the clustering capabilities of GeneCluster 1.0 by adding a module for batch SOM clustering, and also includes a marker gene finder based on a KNN analysis and a visualization module. GeneCluster 2.0 is a stand-alone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater.

Proper citation: GeneCluster 2: An Advanced Toolset for Bioarray Analysis (RRID:SCR_008446) Copy   

•   Source: SciCrunch Registry

http://www.biobankcentral.org/resource/wwibb.php

THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. Web-based portal to connect all the constituencies in the global biobank community. The project seeks to increase the transparency and accessibility of the scientific research process by connecting researchers with an additional source of funding - microinvestments received from the broader online community. In exchange for these public investments, researchers will maintain research logs detailing the play-by-play progress made in their project, as well as publishing all of their data in a public database under a science commons license. These research projects, in turn, will serve to continually update a research-based neuroscience-based human brain & body curriculum. Biobanks are the meeting point of two major information trends in biomedical research: the generation of huge amounts of genomic and other laboratory data, and the electronic capture and integration of patient clinical records. They are comprised of large numbers of human biospecimens supplemented with clinical data. Biobanks when implemented effectively can harness the power of both genomic and clinical data and serve as a critical bridge between basic and applied research, linking laboratory to patient and getting to cures faster. As science and technology leaders work to address the many challenges facing U.S. biobanks logistical, technical, ethical, financial, intellectual property, and IT BioBank Central will serve as an accurate and timely source of knowledge and news about biorepositories and their role in research and drug development. The Web site also provides a working group venue, patient and public education programs, and a forum for international collaboration and harmonization of best practices.

Proper citation: BioBank Central (RRID:SCR_008645) Copy   

•   Source: SciCrunch Registry

http://rgd.mcw.edu/rgdCuration/?module=portal&func=show&name=nuro

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 12,2023. Portal that provides researchers with easy access to data on rat genes, QTLs, strain models, biological processes and pathways related to neurological diseases. This resource also includes dynamic data analysis tools.

Proper citation: Rat Genome Database: Neurological Disease Portal (RRID:SCR_008685) Copy   

•   Source: SciCrunch Registry