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http://www.biocomputing.it/digit/index.php

The Database of Immunoglobulins and Integrated Tools (DIG IT) is an integrated resource storing sequences of annotated immunoglobulin variable domains of NCBI database and enriched with tools for searching and analyzing them. It contains 145759 heavy chain sequences and 71404 light chain sequences (47168 kappa type and 24236 lambda type) with assigned canonical structures for the hypervariable loops and the data on the type of antigen as well as the pairing information of immunoglobulin heavy and light chains (9672 total pairs). The user can input the immunoglobulin variable domain sequence (amino acid or nucleotide) of interest (heavy chain variable domain sequence; light chain variable domain sequence or both) to retrieve the closest sequences (sorted according to e-value) with complete annotation. The user can also directly query the database by antigen type, canonical structure, germline family in accordance to the requirements.

Proper citation: DIG IT - Database of Immunoglobulins and Integrated Tools (RRID:SCR_005924) Copy   

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http://cran.r-project.org/web/packages/aLFQ/

An R-package for estimating absolute protein quantities from label-free liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics data. It supports the commonly used absolute label-free protein abundance estimation methods (TopN, iBAQ, APEX, NSAF and SCAMPI) for LC-MS/MS proteomics data, quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, they used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation.

Proper citation: aLFQ (RRID:SCR_005925) Copy   

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http://www.fastfig.com/

FastFig is a computational tool that lets users seamlessly combine numerical models so that using science is easier than ever. Sign up now for our limited beta release to be among the first to experience FastFig. At Fig Labs, Inc. we develop solutions for scientific data management, analysis and distribution. We specialize in scientific computing solutions and information management systems. Currently, we are developing a web application called FastFig that helps engineers and scientists to collaboratively create, solve and share numerical models. With FastFig you can: * Perform numerical analysis on everything from simple equations to complex models using our dynamic online interface. * Share the functions that you have built along with documentation so that others can use your function. * Search and browse functions to discover what people are calculating all over the world.

Proper citation: FastFig (RRID:SCR_005915) Copy   

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http://syndb.cbi.pku.edu.cn

SynDB is an online resource of proteins known or predicted to be related to the synapse or synaptic activity, and extensive information on the proteins'' functions, sequences, structures, expression, pathways, interactions, and disease associations. It is intended to be a repository of current knowledge and data as well as a starting point for future proteomics research in neurobiology. SynDB is the first focused database of the molecular biology of the synapse proteome. It contains the most comprehensive collection of proteins (13809 unique proteins spanning 1979 species and 104 protein domains, Aug 2006) that are known or predicted to be associated with synaptic activities. It integrates extensive information on protein functions, sequences, structures, expression, pathways, interactions, and disease associations. SynDB was generated using a combination of automated approaches, including keyword- and domain-based searches, and manual curation. It serves as a starting point for future neurobiology, neuropharmacology, and neuroinformatics research. Synapse ontology is a set of standard vocabulary which help to describe all synaptic gene products in a consistant way. As in common ontology, synapse ontolgy is composed of all the terms in a hierarchical structure, but specifically restricted to the function and structure annotation of synapse related gene products. Synapse ontology is a callaborative fruit of bioinformatists and neural biologists. Synapse ontolgy is aimed to describe all the synaptic molecules in terms of structure/biochemistry of synapse and physiology/function at synapse in a specied-independent manner. The controled vocabularies are hierarchically structured, so you can browser the related gene products in different levels: for example, you can find all the gene products of synaptic vesicle cycling or ion channels and receptors, or you can zoom in on all the gene products playing roles in the priming step of synaptic vesicle cycling.

Proper citation: SynDB: Synapse DataBase (RRID:SCR_005918) Copy   

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http://www.nescent.org/

The National Evolutionary Synthesis Center (NESCent) is a nonprofit science center dedicated to cross-disciplinary research in evolution. NESCent promotes the synthesis of information, concepts and knowledge to address significant, emerging, or novel questions in evolutionary science and its applications. NESCent achieves this by supporting research and education across disciplinary, institutional, geographic, and demographic boundaries. Synthetic research in evolutionary science takes many forms but includes integrating novel data sets and models to address important problems within a discipline, developing new analytical approaches and tools, and combining methods and perspectives from multiple disciplines to answer and even create new fundamental scientific questions. NESCent facilitates such synthetic research by providing an environment for fertile interactions among scientists. Our Science and Synthesis program sponsors postdoctoral fellows and sabbatical scholars as resident scientists, and two kinds of meetings, working groups and catalysis meetings. Catalysis meetings provide a novel mechanism for bringing together diverse research communities and cultures to identify common interests, while working groups provide an opportunity for scientists to work together intensively on fundamental synthetic questions over a several-year period. These activities are community driven through our application process and evaluated by an external advisory board. Our Informatics program provides state of the art informatics tools to visiting and in-house scientists and aims to take the lead in assembling novel databases and developing new analytical tools for evolutionary biology. Finally it is sponsoring a major initiative to provide a digital data repository for work in evolutionary biology. NESCent''s Education and Outreach group communicates the results of evolutionary biology research to the general public and scientific community, provides outreach to groups who are underrepresented in evolutionary biology and works to improve evolution education.

Proper citation: NESCent - National Evolutionary Synthesis Center (RRID:SCR_005911) Copy   

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http://sourceforge.net/projects/dna-bison/

Allows users with access to a computer cluster to rapidly align whole-genome bisulfite sequencing or RRBS reads.

Proper citation: dna-bison (RRID:SCR_005913) Copy   

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http://pubsearch.stanford.edu/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. PubSearch is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. PubSearch can be downloaded from GMOD. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: PubSearch (RRID:SCR_005830) Copy   

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http://publications.nigms.nih.gov/multimedia/searchresults.asp?search=All

As part of its multimedia outreach, the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health -- the United States'' medical research agency -- offers audio and video podcasts and other multimedia resources that explore the exciting world of basic biomedical research.

Proper citation: NIGMS Multimedia (RRID:SCR_005712) Copy   

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http://cancer.ucsf.edu/research/cores/biostatistics

The Biostatistics Core provides statistical support for cancer-related research at UCSF, focusing particulary on applications in clinical trials and population studies. The Computational Biology Core supports applications to genomics, genetics and molecular biology. Core faculty have expertise in study design, protocol and proposal development and review, data analysis, and publication of results. Support for Cancer Center investigators participating in established Site Committees is typically handled by the faculty member assigned to that committee. Other requests can be directed to the consulting service request page maintained by the UCSF Clinical & Translational Science Institute (CTSI). These requests will then be assigned to a Core faculty member. Basic consulting services are generally provided free of charge to Cancer Center Members. Members requiring frequent assistance are encouraged to provide regular salary support to a Core statistician when possible to support more extensive requests and for long-term projects. Services: * Study Design * Guidance on Study Conduct * Data Analysis and Reporting of Study Results * Teaching resources

Proper citation: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core (RRID:SCR_005701) Copy   

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http://samtools.sourceforge.net/tview.shtml

Text alignment viewer software based on the GNU ncurses library that works with short indels and shows MAQ consensus. It uses different colors to display mapping quality or base quality, subjected to users' choice.

Proper citation: SAMtools Text Alignment Viewer (RRID:SCR_005611) Copy   

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http://www.nimh.nih.gov/trials/index.shtml

NIMH supports research studies on mental health and disorders. Participate, refer a patient or learn about results of studies in ClinicalTrials.gov, the NIH/National Library of Medicine''''s registry of federally and privately funded clinical trials for all disease. Find NIH-funded studies currently recruiting participants in the following mental health topics: * Anxiety Disorders ** Generalized Anxiety Disorder ** Obsessive-Compulsive Disorder (OCD) ** Panic Disorder ** Post-traumatic Stress Disorder (PTSD) ** Social Phobia (Social Anxiety Disorder) * Attention Deficit Hyperactivity Disorder (ADHD, ADD) * Autism Spectrum Disorders (Pervasive Developmental Disorders) * Bipolar Disorder (Manic-Depressive Illness) * Borderline Personality Disorder * Depression * Eating Disorders * HIV/AIDS * Schizophrenia * Suicide Prevention Information Resources for NIMH Researchers Conducting Clinical Trials * Limited Access Datasets from NIMH-Supported Clinical Trials * NIMH Policy for Recruitment of Participants in Clinical Research * NIMH Policy on Data and Safety Monitoring in Extramural Investigator-Initiated Clinical Trials * Register a study with ClinicalTrials.gov

Proper citation: NIMH Clinical Trials (RRID:SCR_005613) Copy   

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http://www.liverfoundation.org/

The mission of the American Liver Foundation (ALF) is to facilitate, advocate and promote education, support and research for the prevention, treatment and cure of liver disease. These values guide our work as volunteers and staff of the American Liver Foundation as we move toward our ultimate goal of a world without liver disease. By living these values every day, we offer hope to all those affected by liver disease. * Research: Research is integral to the work of American Liver Foundation and is essential to improving treatment and finding cures. * Education: Many forms of liver disease are preventable, and many more can be cured if detected early. Yet tens of thousands of people in the U.S. are living with liver disease and don''t even know it. * Advocacy: American Liver Foundation takes a leadership role in advocating on behalf of the millions of Americans living with liver disease and their families.

Proper citation: American Liver Foundation (RRID:SCR_005855) Copy   

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http://search.cpan.org/~cmungall/go-perl/

go-perl is a set of Perl modules for parsing, manipulating and exporting ontologies and annotations. It includes parsers for the OBO and GO gene association file formats. It has a graph-based object model with methods for graph traversal. For more details, see the documentation included with the modules. go-perl comes bundled with XSL (Extensible Stylesheet Language) transforms (which can also be used independently of Perl, provided you have files in OBO-XML format), as well as scripts that can be used as standalone tools. Installation should be simple, provided you have some experience with Perl and CPAN; see the INSTALL file for details. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: go-perl (RRID:SCR_005730) Copy   

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http://publications.nigms.nih.gov/chemhealth/

Visit ChemHealthWeb for research highlights, chemist profiles, games and videos and other Web extras. The NIGMS Chemistry of Health booklet describes basic chemistry and biochemistry research that spurs a better understanding of human health.

Proper citation: ChemHealthWeb (RRID:SCR_005851) Copy   

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http://www.nimh.nih.gov/educational-resources/neuroscience-and-psychiatry/neuroscience-and-psychiatry-module-1-translating-neural-circuits-into-novel-therapeutics.shtml

This is the first in a series of modules on neuroscience and psychiatry. This module explores research on cognitive deficits, a core feature of schizophrenia and the single best predictor of functional outcomes in this disorder for which we currently have no treatments. This module is an example of how translational neuroscience can provide clues for the development of promising novel therapeutics.

Proper citation: Neuroscience and Psychiatry Module 1: Translating Neural Circuits into Novel Therapeutics (RRID:SCR_005609) Copy   

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http://www.cell.com/podcast

Cell Press publishes monthly podcasts featuring interviews with leading scientists from around the world. You can subscribe to the Cell podcast via iTunes, listen directly by using the audio player, or download the individual podcast.

Proper citation: Cell Podcasts (RRID:SCR_005846) Copy   

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http://www.dbfordummies.com/

Db for Dummies! (DBD) is a flexible, lightweight, memory-resident database. DBD manages any conceivable data structure including lists, tables, multi-rooted hierarchies, graphs and complex networks. Unlike traditional databases, DBD stores data as a network of nodes. DBD has four interfaces to manage data: * The Graphical User Interface (GUI) allows users to manage data mainly via a tree and grid. * The Natural Language Interface (NLI) allows users to mangage data via English-like expressions. * The Remote User Interface (RUI) allows users to manage data via a remote computer. * The Application Programmer Interface (API) allows programmers to manage data via a Dynamic Link Library (DLL). DBD is useful for applications where: # Data structure is complex and highly varied (non-uniform). # Data structure changes frequently. # Data structure is unknown in advance. # Minimum impact on existing code and data is desirable in adapting to new requirements. These characteristics may make DBD useful for Artificial Intelligence applications.

Proper citation: Db for Dummies! (RRID:SCR_005727) Copy   

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http://search.cpan.org/~cmungall/go-db-perl/

Software resource that extends the functionality of go-perl (on which it depends) with GO Database access functionality. go-db-perl comes bundled with various scripts and a shell command line interface that can be used as standalone tools. Installation is more involved than for go-perl; you will need a MySQL database plus the requisite DBI and DBD Perl modules. Full installation instructions are included in the download. go-db-perl is in use both to drive AmiGO and internally within Ensembl. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: go-db-perl (RRID:SCR_005721) Copy   

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http://www.bioinf.uni-freiburg.de/Software/GraphProt/

Software for modeling binding preferences of RNA-binding proteins from high-throughput experiments such as CLIP-seq and RNAcompete.

Proper citation: GraphProt (RRID:SCR_005842) Copy   

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https://medicine.yale.edu/lab/rimm/research/software/

Software tool for biomarker assessment and outcome based cut point optimization.

Proper citation: X-Tile (RRID:SCR_005602) Copy   

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