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http://www.cdc.gov/brfss

The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. For many states, the BRFSS is the only available source of timely, accurate data on health-related behaviors. BRFSS was established in 1984 by the Centers for Disease Control and Prevention (CDC); currently data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, and Guam. More than 350,000 adults are interviewed each year, making the BRFSS the largest telephone health survey in the world. States use BRFSS data to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. Many states also use BRFSS data to support health-related legislative efforts. Sponsors: This resource is supported by the Center for Disease Control. Keywords: Behavioral, Risk, Factor, Surveillance, System, Health, Disease, Chronic, Injury, Health, Behavior, Health,

Proper citation: Behavioral Risk Factor Surveillance System (RRID:SCR_012974) Copy   

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http://www.scienceexchange.com/facilities/emerald-bio

Supplies laboratory automation systems, reagent kits, stock solutions, proteins, and accessories for protein researchers. Tools to automate protein purification, liquid handling, and protein crystallization. Our reagents and stock solutions are available individually, in convenient screens, and as custom products. As the demands of protein research continue to grow, we now provide high purity proteins.

Proper citation: Emerald Bio (RRID:SCR_012731) Copy   

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Ratings or validation data are available for this resource

http://ccb.jhu.edu/software/tophat/index.shtml

Software tool for fast and high throughput alignment of shotgun cDNA sequencing reads generated by transcriptomics technologies. Fast splice junction mapper for RNA-Seq reads. Aligns RNA-Seq reads to mammalian-sized genomes using ultra high-throughput short read aligner Bowtie, and then analyzes mapping results to identify splice junctions between exons.TopHat2 is accurate alignment of transcriptomes in presence of insertions, deletions and gene fusions.

Proper citation: TopHat (RRID:SCR_013035) Copy   

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http://www.viprbrc.org/brc/home.do?decorator=vipr

Provides searchable public repository of genomic, proteomic and other research data for different strains of pathogenic viruses along with suite of tools for analyzing data. Data can be shared, aggregated, analyzed using ViPR tools, and downloaded for local analysis. ViPR is an NIAID-funded resource that support the research of viral pathogens in the NIAID Category A-C Priority Pathogen lists and those causing (re)emerging infectious diseases. It provides a dedicated gateway to SARS-CoV-2 data that integrates data from external sources (GenBank, UniProt, Immune Epitope Database, Protein Data Bank), direct submissions, analysis pipelines and expert curation, and provides a suite of bioinformatics analysis and visualization tools for virology research.

Proper citation: Virus Pathogen Resource (ViPR) (RRID:SCR_012983) Copy   

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http://mitobreak.portugene.com/cgi-bin/Mitobreak_home.cgi

Database with curated datasets of mitochondrial DNA (mtDNA) rearrangements. Users may submit new mtDNA rearrangements.

Proper citation: MitoBreak (RRID:SCR_012949) Copy   

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http://sourceforge.net/projects/ngsep/

Software whose main functionality is the variants detector, which allows to make simultaneous discovery of SNVs, small indels, and CNVs.Accurate variant calling across species and sequencing protocols.Used for analysis of DNA high throughput sequencing data.

Proper citation: NGSEP (RRID:SCR_012827) Copy   

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http://www.scienceexchange.com/facilities/german-cancer-research-center-dkfz

To perform research into cancer is the task of the German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ). DKFZ is the largest biomedical research institute in Germany and a member of the Helmholtz Association of National Research Centers. In over 70 divisions and research groups, our more than 2,500 employees, of which more than 1,000 are scientists, are investigating the mechanisms of cancer, are identifying cancer risk factors and are trying to find strategies to prevent people from getting cancer.They are developing novel approaches to make tumor diagnosis more precise and treatment of cancer patients more successful.

Proper citation: German Cancer Research Center Labs and Facilities (RRID:SCR_012708) Copy   

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https://www.nia.nih.gov/alzheimers

Portal for Alzheimer's disease that compiles, archives and disseminates information about current treatments, diagnostic tools and ongoing research for health professions, people with AD, their families and the public. The Center provides informational services and referrals for AD symptoms, diagnosis and treatment for patients; clinical trial information and literature searches for researchers; training materials and guidelines for caregivers; and Spanish language resources.

Proper citation: Alzheimer's Disease Education and Referral Center (RRID:SCR_012787) Copy   

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http://www.rcsb.org/#Category-welcome

Collection of structural data of biological macromolecules. Database of information about 3D structures of large biological molecules, including proteins and nucleic acids. Users can perform queries on data and analyze and visualize results.

Proper citation: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) (RRID:SCR_012820) Copy   

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https://wiki.zfin.org/display/prot/ZFIN+Protocol+Wiki

ZFIN Protocol Wiki is where zebrafish researchers can share experimental protocols and tips with the rest of the research community. Protocols are organized into sections corresponding to the chapters of The Zebrafish Book, 5th edition (4th edition on-line). Feel free to add new protocols to the appropriate section or add comments to any existing protocol. Sections * General Methods for Zebrafish Care * Breeding * Embryonic and Larval Culture * Imaging * Cellular Methods * Dissociated Cell Culture * Genetic Methods * Antisense Methods * Histological Methods * in situ Hybridization Techniques * Mapping * Transgenesis * Gene Cloning * DNA Analysis * RNA Analysis * Protein Analysis * Microarray * Recipes

Proper citation: ZFIN Protocol Wiki (RRID:SCR_013239) Copy   

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http://www.urmc.rochester.edu/smd/nanat/home/index.cfm

The Department of Neurobiology and Anatomy is strongly committed to its major academic missions of research and education. Teaching and leadership roles in both graduate and medical education remain enduring commitments today, as they have been since the inception of the medical campus in the 1920s. This is matched by our commitment to research on the structure and function of the nervous system.

Proper citation: University of Rochester Medical Center Neurobiology and Anatomy (RRID:SCR_012705) Copy   

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http://mobyle.pasteur.fr/

A portal for bioinformatics analyses, including the following: alignment assembly database display genetics hmm information nucleic phylogeny protein sequence structure

Proper citation: Mobyle@Pasteur (RRID:SCR_013089) Copy   

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http://rnai.dkfz.de

GenomeRNAi is a database of phenotypes from systematic RNA interference (RNAi) screens in cultured Drosophila cells. The phenotype database can be searched by keywords, RNAi identifiers or Drosophila gene sequences. Searches with homologous sequences from human or C. elegans are also possible. Integrated tools evaluate the specificity of long double-stranded RNAs (RNAi probes) by similarity searches against all predicted Drosophila transcripts. This site can also be used to identify pre-designed RNAi probes from available Drosophila RNAi libraries. Caenorhabditis elegans genome, human genome

Proper citation: GenomeRNAi (RRID:SCR_013088) Copy   

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http://www.dkfz.de/en/epidemiologie-krebserkrankungen/software/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software)

Proper citation: PIAGE (RRID:SCR_013124) Copy   

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http://www.nccn.org/

A not-for-profit alliance of 23 cancer centers devoted to patient care, research, and education, is dedicated to improving the quality, effectiveness, and efficiency of cancer care so that patients can live better lives. Through the leadership and expertise of clinical professionals at NCCN Member Institutions, NCCN develops resources that present valuable information to the numerous stakeholders in the health care delivery system. As the arbiter of cancer care, NCCN promotes the importance of continuous quality improvement and recognizes the significance of creating clinical practice guidelines appropriate for use by patients, clinicians, and other health care decision-makers.

Proper citation: NCCN (RRID:SCR_012959) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/minfi.html

Software tools for analyzing and visualizing Illumina''s 450k array data.

Proper citation: minfi (RRID:SCR_012830) Copy   

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http://www.cdc.gov/nceh/tracking

The goal of environmental public health tracking is to protect communities by providing information to federal, state, and local agencies. These agencies, in turn, will use this information to plan, apply, and evaluate public health actions to prevent and control environmentally related diseases. Environmental public health tracking is the ongoing collection, integration, analysis, and interpretation of data about the following factors: :- Environmental hazards :- Exposure to environmental hazards :- Health effects potentially related to exposure to environmental hazards CDC''s goal is to develop a tracking system that integrates data about environmental hazards and exposures with data about diseases that are possibly linked to the environment. This system will allow federal, state, and local agencies, and others to do the following: :- monitor and distribute information about environmental hazards and disease trends :- advance research on possible linkages between environmental hazards and disease :- develop, implement, and evaluate regulatory and public health actions to prevent or control environment-related diseases. Planning for an environmental public health tracking network is an important priority for CDC because of the opportunity it provides to address some of the most challenging problems facing local, state, and national public health leaders. From the outset, this activity has involved substantial collaboration between CDC and its public health and environmental partners (e.g., see the memorandum of understanding between HHS/CDC and the Environmental Protection Agency). Sponsors: This resource is supported by the Center for Disease Control and Prevention. Keywords: Environment, Public, Health, Disease, Analysis, Integration, Data, Hazard, Health, Prevention,

Proper citation: National Environmental Public Health Tracking Program (RRID:SCR_012832) Copy   

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http://www.bioconductor.org/packages/release/bioc/html/affy.html

Software R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. Used to process probe level data and for exploratory oligonucleotide array analysis.

Proper citation: affy (RRID:SCR_012835) Copy   

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http://www.ninds.nih.gov/research/parkinsonsweb/researchers.htm

This NINDS website is designed to facilitate research efforts on Parkinsons disease, as well as to provide researchers, patients and caregivers with related information and resources. Because the interests of the research and patient communities are overlapping yet distinct, the site contains separate web pages directed toward these two communities. For example, regarding funding for PD research, researchers will find information on relevant research funding opportunities, and people with PD can access information on currently funded NINDS and NIH projects. As part of their mission to decrease the burden of neurological disease, and building upon a strong foundation of research discovery, the NINDS is committed to the rapid translation of basic research findings into clinical practice. The NINDS supports a broad spectrum of basic, translational and clinical research on Parkinsons disease (PD), a chronic, progressive movement disorder that affects the lives of at least one million patients across the United States. The average onset of characteristic motor symptoms, which are initially subtle and impact purposeful movement, occurs in the sixth decade. People with PD also experience significant non-motor symptoms including changes in cognition and mood, sleep disturbances, and autonomic dysfunction. Currently available pharmacological and surgical treatments provide relief from some motor symptoms, but do not halt the ultimate progression of the disease. Although significant research advances have been made, including the recent identification of possible environmental and genetic risk factors, a clear cause and a definitive cure for PD have remained elusive. Through a constellation of funding mechanisms, representing over 86 million in fiscal year 2008, the NINDS promotes the advancement of research directed to the understanding, treatment and eventual cure of PD. Sponsors: This resource is supported by the National Institute of Neurological Disorders and Stroke. Keywords: Stroke, Neurological, Disorder, Research, Disease, Researcher, Clinical, Parkinson''s Disease, PD, Chronic, Treatment, Cure, Motor, Genetic, Environmental,

Proper citation: NINDS Parkinsons Disease Research Web (RRID:SCR_012834) Copy   

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http://bioinformatics.ust.hk/BOOST.html

Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies.

Proper citation: BOOST (RRID:SCR_013133) Copy   

•   Source: SciCrunch Registry