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http://www.the-aps.org/

A nonprofit devoted to fostering education, scientific research, and dissemination of information in the physiological sciences. Founded in 1887 with 28 members, the APS now has over 10,500 members. Most members have doctoral degrees in physiology and/or medicine (or other health professions). APS is governed by an elected Council consisting of a President, President-Elect, Past President, and nine Councillors. The National headquarters of the Society is based in Bethesda, Maryland, on the campus of the Federation of American Societies for Experimental Biology (FASEB). The American Physiological Society Awards program demonstrates the Society's dedication to its members and biomedical research by recognizing the research efforts of outstanding APS members. Awards are offered by the Society and the various APS Sections. For questions regarding the Society awards (including Student awards), please send an email to awards_at_the-aps.org. For questions regarding the Section awards please contact the individual Sections directly www.the-aps.org/sections/.

Proper citation: American Physiological Society (RRID:SCR_002826) Copy   

•   Source: SciCrunch Registry

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

An R package for predicting the activity of metabolic pathways based solely on a metabolomics data set containing a list of metabolites identified and their respective abundances in different biological samples. PAPi generates hypothesis that improves the final biological interpretation.

Proper citation: PAPi (RRID:SCR_002857) Copy   

•   Source: SciCrunch Registry

http://www.nap.edu/

The National Academies Press (NAP) was created by the National Academies to publish the reports issued by the National Academy of Sciences, the National Academy of Engineering, the Institute of Medicine, and the National Research Council, all operating under a charter granted by the Congress of the United States. The NAP publishes more than 200 books a year on a wide range of topics in science, engineering, and health, capturing the most authoritative views on important issues in science and health policy. The institutions represented by the NAP are unique in that they attract the nation's leading experts in every field to serve on their award-winning panels and committees. This is the right place for definitive information on everything from space science to animal nutrition. Many books can be read on-line for free. NAP also offers many titles in electronic Adobe PDF format. Hundreds of these books can be downloaded for free by the chapter or the entire book, while others are available for purchase. Sponsors: This resource is supported by The National Academies.

Proper citation: National Academies Press (RRID:SCR_002844) Copy   

•   Source: SciCrunch Registry

http://www.ncrr.nih.gov/clinical_research_resources/resource_directory/general_clinical_research_centers/program_information/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. Through the General Clinical Research Centers (GCRC) program, NCRR funds a national network that provides settings for medical investigators to conduct safe, controlled, state-of-the-art, in-patient and out-patient studies of both children and adults. GCRCs also provide infrastructure and resources that support several career development opportunities.

Proper citation: General Clinical Research Centers Program (RRID:SCR_002847) Copy   

•   Source: SciCrunch Registry

http://abel.ee.ucla.edu/cvxopt

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4,2023.Software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Pythons extensive standard library and on the strengths of Python as a high-level programming language. Current version includes the following features: * efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic * an interface to most of the double-precision real and complex BLAS * an interface to LAPACK routines for solving linear equations and least-squares problems, matrix factorizations (LU, Cholesky, LDLT and QR), symmetric eigenvalue and singular value decomposition, and Schur factorization * an interface to the fast Fourier transform routines from FFTW * interfaces to the sparse LU and Cholesky solvers from UMFPACK and CHOLMOD * routines for linear, second-order cone, and semidefinite programming problems * routines for nonlinear convex optimization * interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK * a modeling tool for specifying convex piecewise-linear optimization problems. A platform-independent source package and a binary Windows installer are available from the Download section. CVXOPT is also available precompiled for the major platforms: * Debian Linux * Ubuntu Linux * Fedora Linux * Python(x,y) for Microsoft Windows CVXOPT is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.

Proper citation: CVXOPT - Python Software for Convex Optimization (RRID:SCR_002918) Copy   

•   Source: SciCrunch Registry

http://www.mct.gov.br/index.php/content/view/323883.html

Proper citation: Brazilian Ministry of Science Technology and Innovation (RRID:SCR_002876) Copy   

•   Source: SciCrunch Registry

http://bioinf.wehi.edu.au/featureCounts/

A read summarization program, which counts mapped reads for the genomic features such as genes and exons.

Proper citation: featureCounts (RRID:SCR_012919) Copy   

•   Source: SciCrunch Registry

http://www.nbic.nl/

A collaborative institute of the bioinformatics groups in the Netherlands that perform cutting-edge research, develop novel tools and support platforms, create an e-science infrastructure and educate the next generations of bioinformaticians. They aim to build and maintain a strong bioinformatics and e-bioscience community that meets the (growing) demand for bioinformatics expertise, infrastructure and personnel in the Dutch life sciences field and provides a stimulating force for advanced research in biology. The NBIC grants aim to support the NBIC projects and (the visibility of) the NBIC community. Therefore, only people working in NBIC partner organizations can apply for sponsoring by NBIC. Positions for postdocs and others are available and there is a yearly conference.

Proper citation: Netherlands Bioinformatics Centre (RRID:SCR_012879) Copy   

•   Source: SciCrunch Registry

http://www.energy.gov/

The mission of the Department of Energy is to ensure America''s security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions. Goal 1: Transform our Energy Systems - Catalyze the timely, material, and efficient transformation of the nation''s energy system and secure U.S. leadership in clean energy technologies. Goal 2: The Science and Engineering Enterprise - Maintain a vibrant U.S. effort in science and engineering as a cornerstone of our economic prosperity, with clear leadership in strategic areas. Goal 3: Secure Our Nation - Enhance nuclear security through defense, nonproliferation, and environmental efforts. Goal 4: Management and Operational Excellence - Establish an operational and adaptable framework that combines the best wisdom of all Department stakeholders to maximize mission success.

Proper citation: United States Department of Energy (RRID:SCR_012841) Copy   

•   Source: SciCrunch Registry

http://www.usaid.gov/

Proper citation: USAID (RRID:SCR_012846) Copy   

•   Source: SciCrunch Registry

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

Function for differentially methylated regions (DMR) detection that is a part of the charm package in R/Bioconductor.

Proper citation: dmrFinder (RRID:SCR_012853) Copy   

•   Source: SciCrunch Registry

https://darlinglab.org/mauve/mauve.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software as system for efficiently constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion.

Proper citation: Mauve (RRID:SCR_012852) Copy   

•   Source: SciCrunch Registry

http://www.djangoproject.com/

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Developed four years ago by a fast-moving online-news operation, Django was designed to handle two challenges: the intensive deadlines of a newsroom and the stringent requirements of the experienced Web developers who wrote it. It lets you build high-performing, elegant Web applications quickly. Django focuses on automating as much as possible and adhering to the DRY principle.

Proper citation: Django (RRID:SCR_012855) Copy   

•   Source: SciCrunch Registry

http://www.nidcd.nih.gov/

The National Institute on Deafness and Other Communication Disorders (NIDCD) is one of the Institutes that comprise the National Institutes of Health (NIH). Established in 1988, NIDCD is mandated to conduct and support biomedical and behavioral research and research training in the normal and disordered processes of hearing, balance, smell, taste, voice, speech, and language. The Institute also conducts and supports research and research training related to disease prevention and health promotion; addresses special biomedical and behavioral problems associated with people who have communication impairments or disorders; and supports efforts to create devices which substitute for lost and impaired sensory and communication function. It is estimated that more than 46 million people in the United States suffer some form of disordered communication. NIDCD has focused national attention on disorders of human communication and has contributed to advances in biomedical and behavioral research that will improve the lives of millions of individuals with communication disorders. NIDCD has made important contributions to the body of knowledge needed to help those who experience communication disorders and to advance research in all aspects of human communication. NIDCD accomplishes its mandate through the Division of Intramural Research, which conducts research in laboratories at the NIH, and the Extramural Research Program, a program of research grants, career development awards, individual and institutional research training awards, center grants, and contracts to public and private research institutions and organizations. As a whole, the Institute supports and conducts approximately 600 research projects. The Institute also conducts and supports research and research training in disease prevention and health promotion and the special biomedical and behavioral problems associated with people having communication impairments and disorders. NIDCD''s extramural grant portfolio demonstrates a balance of basic and clinical research. The intramural research program spans a variety of topics, including, but not limited to, the development of a vaccine against otitis media, the identification and characterization of genes responsible for hereditary hearing impairment, genes associated with neoplasms affecting human communication, and treatment of voice disorders.

Proper citation: National Institute on Deafness and Other Communication Disorders (RRID:SCR_012859) Copy   

•   Source: SciCrunch Registry

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

Software package that includes functions to retrieve the sequences around the peak, obtain enriched Gene Ontology terms, find the nearest gene, exon, miRNA or custom features such as most conserved elements.

Proper citation: ChIPpeakAnno (RRID:SCR_012828) Copy   

•   Source: SciCrunch Registry

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

Collection of techniques to remove inter-study bias when combining gene expression data originating from different studies.

Proper citation: inSilicoMerging (RRID:SCR_012829) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DEXSeq.html

Software package focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.

Proper citation: DEXSeq (RRID:SCR_012823) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/snapCGH.html

Software providing methods for segmenting, normalising and processing aCGH data; including plotting functions for visualising raw and segmented data for individual and multiple arrays.

Proper citation: snapCGH (RRID:SCR_012947) Copy   

•   Source: SciCrunch Registry

http://www.fda.gov/ScienceResearch/BioinformaticsTools/Arraytrack/default.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 23,2023. Provides an integrated solution for managing, analyzing, and interpreting microarray gene expression data.

Proper citation: ArrayTrack (RRID:SCR_012839) Copy   

•   Source: SciCrunch Registry

http://www.cihr-irsc.gc.ca/e/193.html

The Canadian Institutes of Health Research (CIHR) is the Government of Canada''s agency responsible for funding health research in Canada. CIHR was created in 2000 under the authority of the CIHR Act and reports to Parliament through the Minister of Health. CIHR''s budget for 2008-09 is $928.6 million, of which $132 million is allocated to administering the Networks of Centres of Excellence and Canada Research Chair programs. CIHR was created to transform health research in Canada by: * funding more research on targeted priority areas; * building research capacity in under-developed areas such as population health and health services research; * training the next generation of health researchers; and * focusing on knowledge translation, so that the results of research are transformed into policies, practices, procedures, products and services. CIHR consists of 13 virtual institutes, a structure that is unique in the world. These innovative institutes bring together all partners in the research process - the people who fund research, those who carry it out and those who use its results - to share ideas and focus on what Canadians need: good health and the means to prevent disease and fight it when it happens. Each institute supports a broad spectrum of research in its topic areas and, in consultation with its stakeholders, sets priorities for research in those areas.

Proper citation: Canadian Institutes of Health Research (RRID:SCR_012838) Copy   

•   Source: SciCrunch Registry