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http://www.biak.us/

At Brain Injury Alliance of Kentucky (BIAK), a 501(c)(3) non-profit agency, our sole mission is to serve Kentucky citizens whose lives have been affected by brain injury. We do this through advocacy, education, prevention, research, service and support. BIAK links survivors of brain injury and their families to support from others with similar experience; provides them with education and information about living and coping with brain injury; assists them in locating resources for financial assistance; and seeks to connect people with sources of emotional support. BIAK began as an outgrowth of a Lexington area support group in the early 1980s. Family members, medical staff and others felt the need to expand the services and support to reach statewide. The state office was moved to Louisville and incorporated in 1986. BIAK now has offices and staff in Louisville and Lexington. BIAK seeks to share its philosophy, experience and skills with survivors, family members, students, caregivers, administrators, health professionals, legislators, the lay community and all those who desire to make a difference in the life of individuals with brain injuries and their families. At BIAK you will find information about brain injury. We define brain injury as any injury to the brain including injury received from a fall, a stroke, trauma, anoxia, infection, and tumors or other illnesses. Each year, a growing number of Kentucky citizens are affected by brain tumors. These may range from benign tumors to aggressive cancers. The Michael Quinlan Brain Tumor program recently joined BIAK to provide service and support to individuals and families who have been affected by brain tumors. There is always help available to you and your family.

Proper citation: Brain Injury Alliance of Kentucky (RRID:SCR_004764) Copy   

•   Source: SciCrunch Registry
  

http://bioinformatics.fh-stralsund.de/nucpos/

A simulation tool to identify positions of nucleosomes from Next Generation Sequencing data.

Proper citation: NucPosSimulator (RRID:SCR_004765) Copy   

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http://www.aan.com/rss/?event=feed&channel=1

Neurology Podcast is a weekly podcast of content from Neurology, the official journal of the American Academy of Neurology. The Neurology podcast is introduced by Editor-in-Chief Robert A. Gross, MD, PhD, who discusses several highlighted articles in the current issue of the journal. The podcast features an interview with the author of an article in the current issue that summarizes the paper and discusses the main findings and clinical implications for neurologists. It concludes with the Lesson of the Week, a short segment on a topic such as a laboratory technique, statistical methods, or historical neurology.

Proper citation: Neurology Podcast (RRID:SCR_004887) Copy   

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http://www.umaccweb.com/

At the UMACC our mission is to improve the lives of individuals with autistic spectrum disorders and their families through the education of current and future leaders in the field, research that enhances the understanding of causation, intervention, prevention, and course, and provision of clinical services to individuals, families and the community. At UMACC, research and training initiatives strengthen clinical services by incorporating the latest research findings and sharing this information with families. At the same time, families have the opportunity to be a part of the research studies-and help expand scientific knowledge through their participation.

Proper citation: University of Michigan Autism and Communication Disorders Center (RRID:SCR_004640) Copy   

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http://www.fightplga.org/

The Pediatric Low Grade Astrocytoma (PLGA) Foundation is the largest, and only, non-profit organization dedicated to providing hope to children, parents, and families fighting Pediatric Low Grade Astrocytomas (PLGAs). We were founded in August 2007, as a 501(c)(3) foundation made up of families and friends dedicated to helping children who are struggling with brain tumors. To date, families associated with the Pediatric Low Grade Astrocytoma (PLGA) Foundation have raised over $6 million for DEDICATED PLGA research and funded over a dozen new research projects targeted specifically at children''s brain tumors or PLGA''s. These funds have supported the launch of the Dana Farber Cancer Institute''s PLGA Research Program as well as numerous grants distributed by the Brain Tumor Society, and other fine institutions. The PLGA Foundation awards 100% of funds to education and research in the search for more effective, less toxic treatment options for this potentially devastating childhood brain tumor. The PLGA Foundation actively promotes partnerships with other non-profit organizations, private individuals and government entities and has collaborated on fund raising, education and grant allocations in order to leverage resources and funds. Our goal at the Pediatric Low Grade Astrocytoma (PLGA) Foundation, also known as Fight Juvenile Pilocytic Astrocytoma (FightJPA.org), is to UNITE families around the country and around the world in the FIGHT for the lives of our children who suffer from PLGAs - childhood brain tumors. We can defeat childhood brain tumors through a united effort on all fronts to increase awareness, education, fundraising and research of pediatric low grade astrocytomas.

Proper citation: Pediatric Low Grade Astrocytoma Foundation (RRID:SCR_004758) Copy   

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http://www.capitalbiosciences.com/

Biological products including Cell Immortalization Products, Clinically Defined Human Tissue, cDNA ORF Clones, Premade Adenoviruses, Purified Proteins, Viral Expression Systems and others as well as services like Custom Recombinant Adenovirus Production, Custom Recombinant Lentivirus Production, Protein Detection and Quantification and Stable Cell Line Production for academic and governmental research institutes, pharmaceutical and biotechnology industry. Capital Biosciences offers most types of human tissues, normal and diseased, with extensive clinical history and follow up information. Standard specimen format: Snap-frozen(flash-frozen), Formalin fixed and paraffin embedded (FFPE) tissues, Blood and blood products, Bone marrow, Total RNA, Genomic DNA, Total Proteins, Primary cell cultures, Viable frozen tissue. Tumor tissue samples include: Bladder cancer, Glioblastoma, Medulloblastoma, Breast Carcinoma, Cervical Cancer, Colorectal Cancer, Endometrial Cancer, Esophageal Cancer, Head and Neck (H&N) Carcinoma, Hepatocellular Carcinoma (HCC), Hodgkin's lymphoma, Kidney, Renal Cell Carcinoma, Lung Cancer, Non-Small Cell (NCSLC), Lung Cancer, Small Cell (SCLC), Melanoma, Mesothelioma, non-Hodgkin's Lymphoma, Ovarian Adenocarcinoma, Pancreatic Cancer, Prostate Cancer, Stomach Cancer.

Proper citation: Capital Biosciences (RRID:SCR_004879) Copy   

•   Source: SciCrunch Registry
  

http://useq.sourceforge.net/

A collection of software tools for for both low and high level analysis of next generation, ultra high throughput signature sequencing data from the Solexa, SOLiD, and 454 platforms.

Proper citation: USeq (RRID:SCR_004753) Copy   

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http://mla-hls.wikispaces.com/

Sponsored by the Hospital Libraries Section of the Medical Library Association, the Hospital Librarians Wiki provides the structure in which we can all share best practices. Everyone is invited to participate and can add content to existing pages by Editing This Page. You do not have to be a member of HLS/MLA. To add a new page, click on Join in the upper left corner, wait for your request to be accepted (generally within 24 hours), then click on New Page in the upper left corner. You may add links to the left Navigation bar.

Proper citation: MLA-HLS (RRID:SCR_004874) Copy   

•   Source: SciCrunch Registry
  

http://blast.ncbi.nlm.nih.gov/Blast.cgi

Web search tool to find regions of similarity between biological sequences. Program compares nucleotide or protein sequences to sequence databases and calculates statistical significance. Used for identifying homologous sequences.

Proper citation: NCBI BLAST (RRID:SCR_004870) Copy   

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http://www.nlm.nih.gov/mesh

A controlled vocabulary thesaurus that consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity. MeSH, in machine-readable form, is provided at no charge via electronic means. MeSH descriptors are arranged in both an alphabetic and a hierarchical structure. At the most general level of the hierarchical structure are very broad headings such as Anatomy or Mental Disorders. More specific headings are found at more narrow levels of the twelve-level hierarchy, such as Ankle and Conduct Disorder. There are 27,149 descriptors in 2014 MeSH. There are also over 218,000 entry terms that assist in finding the most appropriate MeSH Heading, for example, Vitamin C is an entry term to Ascorbic Acid. In addition to these headings, there are more than 219,000 headings called Supplementary Concept Records (formerly Supplementary Chemical Records) within a separate thesaurus. The MeSH thesaurus is used by NLM for indexing articles from 5,400 of the world''''s leading biomedical journals for the MEDLINE/PubMED database. It is also used for the NLM-produced database that includes cataloging of books, documents, and audiovisuals acquired by the Library. Each bibliographic reference is associated with a set of MeSH terms that describe the content of the item. Similarly, search queries use MeSH vocabulary to find items on a desired topic.

Proper citation: MeSH (RRID:SCR_004750) Copy   

•   Source: SciCrunch Registry
  

http://www.ncbi.nlm.nih.gov/nucest

Nucleotide database as collection of sequences from several sources, including GenBank, RefSeq, TPA and PDB. Genome, gene and transcript sequence data provide the foundation for biomedical research and discovery.

Proper citation: Nucleotide database (RRID:SCR_004630) Copy   

•   Source: SciCrunch Registry
  

http://noble.gs.washington.edu/proj/philius/

Web server that predicts protein transmembrane topology and signal peptides. Hidden Markov models (HMM) have been successfully applied to the tasks of transmembrane protein topology prediction and signal peptide prediction. They expand upon this work by making use of the more powerful class of dynamic Bayesian networks (DBN). Their model, Philius, is inspired by a previously published HMM, Phobius, and combines a signal peptide sub-model with a transmembrane sub-model. They introduce a two-stage DBN decoder which combines the power of posterior decoding with the grammar constraints of Viterbi-style decoding. Philius also provides protein type, segment, and topology confidence metrics to aid in the interpretation of the predictions.

Proper citation: Philius (RRID:SCR_004625) Copy   

•   Source: SciCrunch Registry
  

http://www.startthecure.com/

South Texas Accelerated Research Therapeutics (START) directs clinical trials of novel anticancer agents using a high quality and innovative information technology infrastructure to ensure accurate and rapid clinical trials in a setting that emphasizes personalized and compassionate clinical care. START''s head office is located in San Antonio, Texas, in the heart of the South Texas Medical Center. With centers located in San Antonio, Texas and Madrid, Spain, START conducts the world''s largest Phase I medical oncology program putting more than 400 patients per year on Phase I trials. Patients travel from all over the world to participate in one or more of our Phase I drug trials. START consists of a team of highly trained physicians and staff with extensive experience in Phase I clinical trials research and are nationally recognized as thought leaders in cancer research and drug development. The mission of START is to accelerate the development of new anticancer drugs that will improve the quality of life and survival for patients with cancer. Our drug development program is not only furthering cancer research, but also offers hope to patients facing the toughest cancer battles.

Proper citation: South Texas Accelerated Research Therapeutics (RRID:SCR_004867) Copy   

•   Source: SciCrunch Registry
  

http://ccr.cancer.gov/careers/fellows/funding_opps.asp

http://ccr.cancer.gov/careers/fellows/funding_opps.asp

Proper citation: Center for Cancer Research (RRID:SCR_004627) Copy   

•   Source: SciCrunch Registry
  

http://www.pantherdb.org/

System that classifies genes by their functions, using published scientific experimental evidence and evolutionary relationships to predict function even in absence of direct experimental evidence. Orthologs view is curated orthology relationships between genes for human, mouse, rat, fish, worm, and fly., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PANTHER (RRID:SCR_004869) Copy   

•   Source: SciCrunch Registry
  

http://celltypes.org/

Central repository of information on neuronal cell types mainly accumulating information on: Genetically labeled cell types in mouse brain and genetically engineered mouse lines for cell type research. Mouse lines are annotated with * Atlas for examining transgene expression patterns * Information on construct used to generate transgene * Associated publications * Anatomical regions where transgene is expressed (based on Atlas) * Information on where to obtain the animals Currently, the mouse lines in the database are mostly generated at Cold Spring Harbor Lab, Scripps Research Institute, Baylor College of Medicine and Brandeis University with few other exceptions. In the future, they will incorporate more mouse lines useful for neuronal cell type research. Cell types are annotated with * Anatomical region * Properties (frequently used terms in neuroscience research) * Mouse line used to define the cell type * Genome wide transcriptome data (if available) * Specific (marker) genes (if available) * Marker immunostaining data (if available) * Associated publications * Electrophysiological characterizations (when available) * Morphological characterizations (when available)

Proper citation: celltypes.org (RRID:SCR_004545) Copy   

•   Source: SciCrunch Registry
  

http://www3.cancer.gov/intra/dcs/dcshome.htm

http://www3.cancer.gov/intra/dcs/dcshome.htm

Proper citation: Division of clinical sciences (RRID:SCR_004787) Copy   

•   Source: SciCrunch Registry
  

http://www.obofoundry.org/ontology/pato.html

Ontology of phenotypic qualities, intended for use in a number of applications, primarily defining composite phenotypes and phenotype annotation. The new PATO differs from the old in that the system of attributes and values has been abandoned in favor of a single hierarchy of qualities. PATO is designed to be used in conjunction with ontologies of quality-bearing entities. An example of such an entity is an insect eye (taken from the fly_anatomy ontology), which could be the bearer of the quality ''red'' (PATO:0000322). This combination is the red eye phenotype. We say that the phenotype term is ''post-coordinated'', as it is formed by coordinating two terms together. This is in contrast to ontologies of pre-coordinated phenotypes, such as the Mammalian Phenotype (MP) ontology. PATO is independent of any exchange format or database schema. One way of expressing phenotype annotation using PATO is pheno-syntax, or pheno-xml. They will also post recommendations for representing phenotypes using OWL. All representations share the same basic formal underpinnings, a combination of quality-bearing entity and a quality (the EQ model).

Proper citation: PATO (RRID:SCR_004782) Copy   

•   Source: SciCrunch Registry
  

http://www.wallenberg.com/kaw/en

One of the largest financiers of research in Sweden that promotes scientific research, teaching and/or education beneficial to the Kingdom of Sweden. 20-30 percent of the Foundation''s grants relate to high-value research equipment for use within the technical, natural sciences and biomedical fields, and about 50 percent relate to major research projects and substantial scientific networks. Universities, academies and similar research and educational institutions are eligible for grants within the following fields: * Expensive scientific equipment * Fellowship programs initiated by the Foundation * Selected research projects of significant potential * Larger educational research projects Applications may be submitted by individual scientists, or research groups affiliated to a Swedish university or equivalent institution. An application may also be submitted by the management of a university, university college, scientific academy, or national research associations. Applications from private individuals without connection to a scientific institution are not considered.

Proper citation: Knut and Alice Wallenberg Foundation (RRID:SCR_004778) Copy   

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http://sourceforge.net/projects/sagebionetworks/files/

Key Driver Analysis (KDA) is an analysis tool, as both an R package and Cytoscape plugin, for identifying key regulators of a gene regulatory network. It takes as input a gene network N (directed or undirected) and a gene set (module) G. The gene set is any subset of genes from the network N (e.g. pathway, module, ontology), permitting focus on a particular biological context. The KDA archive contains the plugin source, the plugin jar file, and several example datasets. Prerequisites: *Java, 5.0+ (www.javasoft.com) *Cytoscape, 2.6+ (www.cytoscape.org)

Proper citation: Key Driver Analysis (RRID:SCR_004899) Copy   

•   Source: SciCrunch Registry