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http://f1000.com/posters

An open access repository of conference posters from across the life sciences and medicine. It provides a permanent, structured environment for the deposition of posters as well as a trustworthy venue for ongoing discussion and development of the information being presented. You can browse posters by Topic or Section or by conference. Please note that most posters on this site present work that is preliminary in nature and has not been peer reviewed. The most interesting posters are selected for evaluation by our expert Faculty and you will receive ideas and feedback. Widen your audience ����?? top performing posters receive 800+ views in a month!

Proper citation: F1000 Posters (RRID:SCR_006503) Copy   

•   Source: SciCrunch Registry

http://crdd.osdd.net/servers/virsirnadb/

VIRsiRNAdb is a curated database of experimentally validated viral siRNA / shRNA targeting diverse genes of 42 important human viruses including influenza, SARS and Hepatitis viruses. Submissions are welcome. Currently, the database provides detailed experimental information of 1358 siRNA/shRNA which includes siRNA sequence, virus subtype, target gene, GenBank accession, design algorithm, cell type, test object, test method and efficacy (mostly quantitative efficacies). Further, wherever available, information regarding alternative efficacies of above 300 siRNAs derived from different assays has also been incorporated. The database has facilities like search, advance search (using Boolean operators AND, OR) browsing (with data sorting option), internal linking and external linking to other databases (Pubmed, Genbank, ICTV). Additionally useful siRNA analysis tools are also provided e.g. siTarAlign for aligning the siRNA sequence with reference viral genomes or user defined sequences. virsiRNAdb would prove useful for RNAi researchers especially in siRNA based antiviral therapeutics development.

Proper citation: VIRsiRNAdb (RRID:SCR_006108) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/2.8/bioc/html/qrqc.html

Software R package to quickly scan reads and gather statistics on base and quality frequencies, read length, k-mers by position, and frequent sequences. Produces graphical output of statistics for use in quality control pipelines, and an optional HTML quality report. S4 SequenceSummary objects allow specific tests and functionality to be written around the data collected.

Proper citation: qrqc (RRID:SCR_006867) Copy   

•   Source: SciCrunch Registry

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https://github.com/spm

Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.

Proper citation: SPM (RRID:SCR_007037) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.biol.uoa.gr/hPATM/

A web tool, based on a heuristic transformation of the original global pairwise and local pairwise alignment algorithms, offers objective alignments for transmembrane protein sequences. hPATM takes advantage of the information offered by the knowledge of the position of transmembrane segmets, by experiment or prediction. The heuristic approach may reveal similarities between diverge sequences with low percentages of identity and similarity. The produced alignments, based on common structural scaffolds derived by the transmembrane segments of the sequence, can be used to spot conserved non-transmembrane segments or as a basis for the production of 3-D models via homology modelling. The hPAFAG algorithm is based on the heuristic transformation of the Needleman & Wunsch and Smith & Waterman algorithms, featuring affine gap penalties. The heuristic transformation is based on two extra features: * a heuristic bonus, added to the score when two amino acids that belong to transmembrane segmens are aligned. * a heuristic gap penalty, substracted from the score when a gap is opened in a transmembrane segment. This way transmembrane segments are anchored (not by force, but by more strict alignment) together, allowing the pairwise alignment to focus on non-transmembrane segments. This web server offers a friendly interface for the hPATM command line version. The algorithm was implemented in PERL and the source code of the command line version is available on request by the authors.

Proper citation: hPATM (RRID:SCR_006224) Copy   

•   Source: SciCrunch Registry

http://www.chem.qmul.ac.uk/iubmb/enzyme/

Recommendations of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzymes by the reactions they catalyze. Also included are links to individual documents and advice is provided on how to suggest new enzymes for listing, or correction of existing entries. The common names of all listed enzymes are listed, along with their EC numbers. Where an enzyme has been deleted or transferred to another EC number, this information is also indicated. Each list is linked to either separate entries for each entry or to files with up to 50 enzymes in each file. A start has been made in showing the pathways in which enzymes participate. For other enzymes a glossary entry has been added which may be just a systematic name or a link to a graphic representation. The glossary from Enzyme Nomenclature, 1992 may also be consulted. This has been updated with subsequent glossary entries. Each enzyme entry has links to other databases. Enzyme Subclasses provide links to a list of sub-subclasses which in turn list the enzymes linked to separate files for each enzyme, or to a list as part of a file with up to 50 enzymes per file.

Proper citation: Enzyme Nomenclature (RRID:SCR_006583) Copy   

•   Source: SciCrunch Registry

http://go.princeton.edu/cgi-bin/GOTermMapper

The Generic GO Term Mapper finds the GO terms shared among a list of genes from your organism of choice within a slim ontology, allowing them to be binned into broader categories. The user may optionally provide a custom gene association file or slim ontology, or a custom list of slim terms. The implementation of this Generic GO Term Mapper uses map2slim.pl script written by Chris Mungall at Berkeley Drosophila Genome Project, and some of the modules included in the GO-TermFinder distribution written by Gavin Sherlock and Shuai Weng at Stanford University, made publicly available through the GMOD project. GO Term Mapper serves a different function than the GO Term Finder. GO Term Mapper simply bins the submitted gene list to a static set of ancestor GO terms. In contrast, GO Term Finder finds the GO terms significantly enriched in a submitted list of genes. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: Generic GO Term Mapper (RRID:SCR_005806) Copy   

•   Source: SciCrunch Registry

http://www.pstnet.com/software.cfm?ID=96

Designed for use in an MRI simulator, MoTrak software uses Ascension Technology?s Flock of Birds. The sensor attaches to the subject?s head and determines the position of the head in space relative to the transmitter. The sensor records angular rotations as well as positional displacements from an initially calibrated position. This information is displayed and logged by the program in real-time, allowing observation of head motion in an MRI simulator. In the simulator, the participant can simultaneously be habituated to the MRI environment, while being trained to remain still via feedback from the MoTrak system.

Proper citation: MoTrak Head Motion Tracking System (RRID:SCR_009607) Copy   

•   Source: SciCrunch Registry

http://www.nextprot.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2025. Human protein knowledge platform. Knowledge platform for human proteins selects and filters high throughput data pertinent to human proteins from UniProtKB. Extends UniProtKB/Swiss-Prot annotations for human proteins to include several new data types.

Proper citation: neXtProt (RRID:SCR_008911) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bnv/

Aa brain network visualization tool, which can help researchers to visualize structural and functional connectivity patterns from different levels in a quick, easy, and flexible way.

Proper citation: BrainNet Viewer (RRID:SCR_009446) Copy   

•   Source: SciCrunch Registry

http://services.ceon.pl/cermine/index.html

Java library and a web service for extracting metadata and content from scientific articles in born-digital form. The system analyses the entire content of a PDF file containing a publication and attempts to extract information such as: the title of the article, journal information (title, etc.), bibliographic information (volume, issue, page numbers, etc.), authors and affiliations, keywords, abstract, bibliographic references and structured sections hierarchy.

Proper citation: CERMINE (RRID:SCR_008993) Copy   

•   Source: SciCrunch Registry

http://www.researchgate.net/conferences/

Listing of scientific conferences from across the globe and provides you with the tools to get the most out of them: post, follow, discuss - all for free.

Proper citation: ResearchGate: Research Conferences (RRID:SCR_006487) Copy   

•   Source: SciCrunch Registry

http://www.biolayout.org

BioLayout Express3D is a powerful new tool for the visualization and analysis of networks derived from biological systems. Network-based approaches are becoming increasing popular for the analysis of ''omics and other high dimensional data. Networks can be produced from a wide variety of biological relationships, such as interactions between individuals, disease transmission, sequence similarity, metabolic pathways, protein interactions, pathways, regulatory cascades, gene expression, etc. BioLayout Express3D has been specifically designed for visualization, clustering and analysis of large network graphs in two- and three-dimensional space derived primarily, but not exclusively, from biological data. Sponsors: This resource is supported by BBSRC (BB / F003722 / 1) and the Wellcome Trust (GR077040RP). Keywords: Biology, Tool, Software, visualization, Analysis, Network, Biological, System, Dimentional, Data, Disease, Transmission, Sequence, Metabolic, Pathway, Protein, Interaction, Gene, Expression, Clustering, Analysis,

Proper citation: BioLayout Express 3D (RRID:SCR_007179) Copy   

•   Source: SciCrunch Registry

http://www.nlm.nih.gov/research/umls/

Database of key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records. This set of files and software brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. Users can use the UMLS to enhance or develop applications, such as electronic health records, classification tools, dictionaries and language translators. The UMLS has three tools, which we call the Knowledge Sources: * Metathesaurus: Terms and codes from many vocabularies, including CPT, ICD-10-CM, LOINC, MeSH, RxNorm, and SNOMED CT * Semantic Network: Broad categories (semantic types) and their relationships (semantic relations) * SPECIALIST Lexicon and Lexical Tools: Natural language processing tools We use the Semantic Network and Lexical Tools to produce the Metathesaurus. Metathesaurus production involves: * Processing the terms and codes using the Lexical Tools * Grouping synonymous terms into concepts * Categorizing concepts by semantic types from the Semantic Network * Incorporating relationships and attributes provided by vocabularies * Releasing the data in a common format Although we integrate these tools for Metathesaurus production, you can access them separately or in any combination according to your needs. The UMLS Terminology Services (UTS) provides three ways to access the UMLS: Web Browsers, Local Installation, and Web Services APIs.

Proper citation: Unified Medical Language System (RRID:SCR_006363) Copy   

•   Source: SciCrunch Registry

http://www.ninds.nih.gov/news_and_events/proceedings/20101217-NEXT.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 26,2022. A unique clinical trial network open to studies of more than 400 neurological diseases, allowing investigators to more efficiently pursue new therapies based on scientific opportunity. The network has a centralized IRB serving 25 sites, which will allow trials to move faster, without the need to coordinate IRBs at each individual site. It is not necessary to be part of the NeuroNEXT infrastructure to propose and conduct a study within the network. The Network for Excellence in Neuroscience Clinical Trials, or NeuroNEXT, was created to conduct studies of treatments for neurological diseases through partnerships with academia, private foundations, and industry. The network is designed to expand the National Institute of Neurological Disorders and Stroke''s (NINDS) capability to test promising new therapies, increase the efficiency of clinical trials before embarking on larger studies, and respond quickly as new opportunities arise to test promising treatments for people with neurological disorders. The NeuroNEXT program aims to: * Provide a robust, standardized, and accessible infrastructure to facilitate rapid development and implementation of protocols in neurological disorders affecting adult and/or pediatric populations. The network includes multiple Clinical Sites, one Clinical Coordinating Center (CCC) and one Data Coordinating Center (DCC). * Support scientifically sound, possibly biomarker-informed, Phase II clinical trials that provide data for clear go/no-go decisions. * Energize and mobilize federal, industry, foundations and patient advocacy partners by leveraging existing relationships between NINDS and NeuroNEXT to organize high impact Phase II clinical trials for neurological disorders. * Expand the pool of experienced clinical investigators and research staff who are prepared to be leaders of multicenter clinical research trials. * Working with NeuroNEXT is a cooperative venture between NINDS, the NeuroNEXT network and the applicant.

Proper citation: NeuroNEXT (RRID:SCR_006760) Copy   

•   Source: SciCrunch Registry

http://www.chemservice.com

Chem Service, Inc. offers the convenience, cost savings and reliability of 1,000 Certified Standards Grade Organic Chemicals at your fingertips with our Organic Mini Stockroom Kit. Whether your lab is big or small, disposal fees are a concern. The Organic Mini-stockroom offers you the ability to have 1000 different chemicals at quantities ranging from 100mg to 10gm; thus, reducing disposal costs. Over 95% of their neat Standards Grade materials have a purity of 98.0% or greater, and have been analyzed by three or more (where feasible) independent methods of analysis. These do not require purity corrections when preparing a solution for use with EPA methods. Their more than 13,000 organic and inorganic standards, and solutions, support EPA Methods, ASTM Methods, State UST Methods, Air monitoring Methods, and International Methods. They offer explosive residue standards, PCB congeners, petroleum hydrocarbon standards for the petrochemical industry, pesticide standards, FAME, and vitamin standards for food analysis. Suited for identification of unknowns, product screening, optimal chemical selection and small scale chemical reactions, the O-1000A Organic Ministockroom Kit was designed for laboratories with broad chemical classification and indentification needs. Chem Service, Inc. is registered by ABS Quality Evaluations, Inc., to the internationally recognized requirements of ISO 9001 for design, development, production, distribution and servicing of organic neat and synthetic reference materials.

Proper citation: Chem Service, Inc. (RRID:SCR_008380) Copy   

•   Source: SciCrunch Registry

http://harvester.fzk.de/harvester/

Harvester is a Web-based tool that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. It is a meta search engine for gene and protein information. It searches 16 major databases and prediction servers and combines the results on pregenerated HTML pages. In this way Harvester can provide comprehensive gene-protein information from different servers in a convenient and fast manner. As full text meta search engine, similar to Google trade mark, Harvester allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. Sponsors: This work has been supported by the BMBF with grants 01GR0101 and 01KW0013.

Proper citation: Bioinformatic Harvester IV (beta) at Karlsruhe Institute of Technology (RRID:SCR_008017) Copy   

•   Source: SciCrunch Registry

https://www.medizin.uni-tuebingen.de/en/Students/Institutes/Medical+Psychology.html

The Institute of Medical Psychology and Behavioral Neurobiology in Germany is an institutional portal established at the Faculty of Medicine of the University of Tbingen in 1993. With the assignment of the chair for Medical Psychology and Medical Sociology to Professor Birbaumer the educational task became the instruction of medical students in Medical Psychology and Medical Sociology. Christoph-Dornier-Center of Clinical Psychology at the University of Tobingen Medical Faculty In March 2001, a new institute of the Christoph Dornier Foundation was opened under the direction of Prof. Niels Birbaumer. The aim of this institute is to advance research in behavioral neurobiology and behavioral medicine. The results of the research should be directly translated into treatments. The emphasis in Tbingen is on the treatment of chronic pain and intractable epilepsy, using a combination of biofeedback training and behavioral therapy. Even though a positive effect of biofeedback has been proven in many controlled studies, the method is still far from being accepted in everyday clinical practice. The outpatient department in Tbingen intends to enable access to this treatment to a wider population of patients. Magnetoencephalography(MEG)-Center The MEG-Center (established 1997) is a central research facility at the University of Tbingen. The Center is operated by the Institute of medical psychology and behavioural Neurobiology and hosts a whole-head 151-channel system built by VSMMedtech (www.vsmmedtech.com). In early 2006 in addition to the wholehead MEG an additional special purpose MEG system will be installed in Tbingen (funded by the DFG and Land Baden Wrttemberg). This MEG is dedicated to the investigation of fetal brain signals in utero (fMEG) . The fMEG will be installed at the University Woman Clinic and operated by the staff of the MEG center. This is the first dedicated fMEG system in Europe. Some content on the website is only in German.

Proper citation: Institute of Medical Psychology and Behavioral Neurobiology, University of Tbingen (RRID:SCR_008011) Copy   

•   Source: SciCrunch Registry

http://alzheimers.med.umich.edu/

An Alzheimer's disease center which aims to conduct and promote research on Alzheimer's disease and enhance public and professional understanding of dementia through education and outreach efforts. The MADC promotes clinical research on memory and aging which involves the direct use of research volunteers, biomarkers, and other clinical data collected through the University of Michigan Memory and Aging Project.

Proper citation: Michigan Alzheimer's Disease Center (RRID:SCR_008773) Copy   

•   Source: SciCrunch Registry

http://www.parkinsoninfo.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 18th, 2016. A foundation that was founded in 2001, and sponsors academic centers throughout the US. The MIchael Stern Parkinson's Research Foundation focuses its efforts mainly on finding the causes of the disease, finding effective treatments, and discovering a cure for the disease. The foundation is notably looking into dopamine and its effects on neural connections, as well its possibility to be used for treatment.
Dr. Greengard has assembled a close knit group of more than 25 outstanding scientists who are focused on translating the fundamental understandings about the dopamine system into new treatments for Parkinson's. The core team of researchers is based at the Stern Foundation laboratory on the campus of The Rockefeller University interacts continually with collaborators from the United Kingdom, France, Sweden, Italy, Japan and Korea. This global presence ensures that no promising research lead is overlooked, and that progress can be made on multiple fronts simultaneously. As the Foundation grew it was able to expand its support for critical neurological research to two other institutions, Harvard University's McLean Hospital, where we support the research of Dr. Ole Isacson whose research lab, The Stern Center for Neuroregeneration Research is using gene therapy to protect the most vulnerable neurons in PD models; and the Institute for Neurodegenerative Disorders, where Yale Professors Dr. Ken Marek and Dr. John Seibyl are developing novel tools for early detection and monitoring of Parkinson's disease by studying physiologic, biochemical and neuroimaging biomarkers for non-dominergic manifestations of Parkinsonism. :NIF thanks the Parkinson's Disease Foundation, http://www.pdf.org for their referral of this resource to us.

Proper citation: Michael Stern Parkinsons Research Foundation (RRID:SCR_008098) Copy   

•   Source: SciCrunch Registry