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A community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Its focus is on permanent cell lines from culture collections. Upper ontology structures that frame the skeleton of CLO include Basic Formal Ontology and Relation Ontology. Cell lines contained in CLO are associated with terms from other ontologies such as Cell Type Ontology, NCBI Taxonomy, and Ontology for Biomedical Investigation. A common design pattern for the cell line is used to model cell lines and their attributes, the Jurkat cell line provides ane xample. Currently CLO contains over 36,000 cell line entries obtained from ATCC, HyperCLDB, Coriell, and bymanual curation. The cell lines are derived from 194 cell types, 656 anatomical entries, and 217 organisms. The OWL-based CLO is machine-readable and can be used in various applications. The CLO development has become a community effort with international collaborations. The development consortium includes experts from all over the world: the USA, Europe, and Japan.
Proper citation: Cell Line Ontology (RRID:SCR_005840) Copy
French-speaking university based in Neuchâtel, Switzerland. The university has four faculties and more than a dozen institutes, including arts and human sciences, natural sciences, law and economics.
Proper citation: University of Neuchatel; Neuchatel; Switzerland (RRID:SCR_005875) Copy
The American Cancer Society is the nationwide, community-based, voluntary health organization dedicated to eliminating cancer as a major health problem by preventing cancer, saving lives, and diminishing suffering from cancer, through research, education, advocacy, and service. Together with our millions of supporters, the American Cancer Society (ACS) saves lives and creates a world with less cancer and more birthdays by helping people stay well, helping people get well, by finding cures, and by fighting back. Headquartered in Atlanta, Georgia, the ACS has 12 chartered Divisions, more than 900 local offices nationwide, and a presence in more than 5,100 communities.
Proper citation: American Cancer Society (RRID:SCR_005756) Copy
An Antibody supplier
Proper citation: Antigenix America (RRID:SCR_005871) Copy
http://www.ici.upmc.fr/cluego/
A Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network. It can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easily extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be combined to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: ClueGO (RRID:SCR_005748) Copy
http://daac.ornl.gov/citation_policy.html
Data Product Citation Policy of including a bibliographic citation for the products that were used in publications to acknowledge the scientists who have provided archived ORNL DAAC (Oak Ridge National Laboratory Distributed Active Archive Center) data products. Such citations will help others find the products and see how they have been used. Citation information is provided in the documentation that accompanies all data products. ORNL DAAC is operated by the ORNL Environmental Sciences Division and is responsible for data archival, product development and distribution, and user support for biogeochemical and ecological data and models. The Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for biogeochemcial dynamics is one of the NASA Earth Observing System Data and Information System (EOSDIS) data centers managed by the Earth Science Data and Information System (ESDIS) Project, which is responsible for providing scientific and other users access to data from NASA''s Earth Science Missions.
Proper citation: ORNL DAAC Data Product Citation Policy (RRID:SCR_005902) Copy
Public research university in Louisville, Kentucky. It is part of the Kentucky state university system.
Proper citation: University of Louisville; Kentucky; USA (RRID:SCR_005749) Copy
http://www.alzheimers.org/clinicaltrials/
A database of Alzheimer's disease and dementia clinical trials currently in progress at centers throughout the U.S.
Proper citation: AD Clinical Trials Database (RRID:SCR_005863) Copy
Public research university in Lafayette, Louisiana. It has the largest enrollment within the nine-campus University of Louisiana System and the second largest enrollment in Louisiana.
Proper citation: University of Louisiana; Louisiana; USA (RRID:SCR_005743) Copy
The Andrew W. Mellon Foundation currently makes grants in five core program areas: * Higher Education and Scholarship * Scholarly Communications and Information Technology * Art History, Conservation, and Museums * Performing Arts * Conservation and the Environment Within each of its core programs, the Foundation concentrates most of its grantmaking in a few areas. Institutions and programs receiving support are often leaders in fields of Foundation activity, but they may also be promising newcomers, or in a position to demonstrate new ways of overcoming obstacles to achieve program goals. Our grantmaking philosophy is to build, strengthen and sustain institutions and their core capacities, rather than be a source for narrowly defined projects. As such, we develop thoughtful, long-term collaborations with grant recipients and invest sufficient funds for an extended period to accomplish the purpose at hand and achieve meaningful results.
Proper citation: Andrew W. Mellon Foundation (RRID:SCR_005864) Copy
http://www.auanet.org/content/homepage/homepage.cfm
The American Urological Association (AUA), founded in 1902, is the premier professional association for the advancement of urologic patient care, and works to ensure that its more than 18,000 members are current on the latest research and practices in urology. The AUA also pursues its mission of fostering the highest standards of urologic care by providing a wide range of servicesincluding publications, research, the Annual Meeting, continuing medical education (CME) and the formulation of health policy.
Proper citation: American Urological Association (RRID:SCR_005859) Copy
Network of three teaching hospitals affiliated with the medical school of Université Laval and several specialized institutions in Quebec City.
Proper citation: University of Quebec Hospital Centre; Quebec; Canada (RRID:SCR_006740) Copy
http://www.nida.nih.gov/mediaguide/index.html
The latest findings on the science of drug abuse and addiction and commonly abused drugs, and lists resources for more information. They are committed to bringing timely, factual information on addiction and treatment to the press and public. NIDA''s Public Information and Liaison Branch (PILB) is part of NIDA''s Office of Science Policy and Communications. Linking scientists, the scientific community, and the media, PILB supports the rapid dissemination of research information to inform policy and to improve practice. NIDA''s goal is to ensure that science - not ideology or anecdote - forms the foundation of public information on drug abuse and addiction. NIDAs online MEDIA GUIDE provides answers on how to find what you need to know about drug abuse and addiction, including information on the basics (The Science of Drug Abuse and Addiction and Commonly Abused Drugs), resources (Where to Find Nationwide Trends and Statistics, NIDA Resources, and Other Government Web Sites for Health and Science Information), NIDAs history and background, a glossary and relevant contact information. NIDA is pleased to offer this guide to the important findings that are emerging as a result of research on addiction and its treatment. NIDA, part of the National Institutes of Health under the U.S. Department of Health and Human Services, supports most of the world''s research on drug abuse and addiction, including basic and behavioral science research that addresses fundamental and essential questions relevant to drug abuse, ranging from its causes and consequences to its treatment and prevention. The purpose of this guide is to give journalists fast and user-friendly access to the latest scientific information but it is useful for anyone interested in how to access accurate information about drug abuse and addiction. In more than three decades as a researcher, I have seen the impact that science and health journalists have had in bringing scientific research to the public. It is through information that Americans gain hope and understanding. I have come to know many of you over the years and remain committed to releasing scientific information as quickly as possible for rapid dissemination to the public. Please keep this guide nearby as a useful tool and let us know how NIDA''s public liaison staff can help you reach your information and deadline needs. A PDF version is available for download.
Proper citation: National Institute on Drug Abuse Media Guide (RRID:SCR_006850) Copy
http://watson.nci.nih.gov/bioc_mirror/packages/2.11/bioc/html/EDASeq.html
Software for numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: EDASeq (RRID:SCR_006751) Copy
http://sourceforge.net/projects/polgui/
An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)
Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy
http://sourceforge.net/projects/mubiomics/
A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.
Proper citation: mubiomics (RRID:SCR_006785) Copy
http://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html
Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.
Proper citation: ShortRead (RRID:SCR_006813) Copy
http://compbio.bccrc.ca/software/mutationseq/
A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic.
Proper citation: mutationSeq (RRID:SCR_006815) Copy
Public university located in Rostock, Mecklenburg-Vorpommern, Germany. Founded in 1419.
Proper citation: University of Rostock; Mecklenburg-Vorpommern; Germany (RRID:SCR_006816) Copy
http://purl.bioontology.org/ontology/RPO
A controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users'' communities
Proper citation: Resource of Asian Primary Immunodeficiency Diseases Phenotype Ontology (RRID:SCR_006776) Copy
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