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http://www.bioconductor.org/packages/release/bioc/html/Basic4Cseq.html

An R/Bioconductor package for basic filtering, analysis and subsequent near-cis visualization of 4C-seq data. Virtual fragment libraries can be created for any BSGenome package, and filter functions for both reads and fragments and basic quality controls are included. Fragment data in the vicinity of the experiment's viewpoint can be visualized as a coverage plot based on a running median approach and a multi-scale contact profile.

Proper citation: Basic4Cseq (RRID:SCR_002836) Copy   

•   Source: SciCrunch Registry

https://github.com/PacificBiosciences/SMRT-Analysis/

Open-source bioinformatics software suite for analyzing single molecule, real-time DNA sequencing data. Users can choose from a variety of analysis protocols that utilize PacBio and third-party tools. Analysis protocols include de novo genome assembly, cDNA mapping, DNA base-modification detection, and long-amplicon analysis to determine phased consensus sequences.

Proper citation: SMRT-Analysis (RRID:SCR_002942) Copy   

•   Source: SciCrunch Registry

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://www.bhf.org.uk/

British charity and fundraiser for cardiovascular research.

Proper citation: British Heart Foundation (RRID:SCR_002905) Copy   

•   Source: SciCrunch Registry

https://uni-koeln.de/

Public university in Germany that offers degrees in law, management and business, the arts and humanities, and human sciences.

Proper citation: University of Cologne; Cologne; Germany (RRID:SCR_002903) Copy   

•   Source: SciCrunch Registry

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

Software package that carries out association analysis of common copy number variants in population-based studies. It includes functions for analysing association under a series of study designs (case-control, cohort, etc), using several dependent variables (class status, censored data, counts) as response, adjusting for covariates and considering various inheritance models. It also includes functions for inferring copy number (CNV genotype calling). Various classes and methods for generic functions (print, summary, plot, anova, ... ) have been created to facilitate the analysis.

Proper citation: CNVassoc (RRID:SCR_002901) Copy   

•   Source: SciCrunch Registry

http://colorado.edu/

Public university that offers degrees in the sciences, humanities, and social sciences.

Proper citation: University of Colorado Boulder; Colorado; USA (RRID:SCR_003114) Copy   

•   Source: SciCrunch Registry

http://chiulab.ucsf.edu/surpi/

Software providing a computational pipeline for pathogen identification from complex metagenomic next-generation sequencing (NGS) data generated from clinical samples.

Proper citation: SURPI (RRID:SCR_003071) Copy   

•   Source: SciCrunch Registry

http://pfind.ict.ac.cn/software/pFind/index.html

A search engine system for automated peptide and protein identification from tandem mass spectra.

Proper citation: pFind (RRID:SCR_003011) Copy   

•   Source: SciCrunch Registry

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

GAP is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, classic twin models, probability of familial disease aggregation, kinship calculation, some statistics in linkage analysis, and association analysis involving one or more genetic markers including haplotype analysis with or without environmental covariates.

Proper citation: Genetic Analysis Package (RRID:SCR_003006) Copy   

•   Source: SciCrunch Registry

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

Software for differential expression analysis of RNA-seq using the Poisson-Tweedie family of distributions.

Proper citation: tweeDEseq (RRID:SCR_003038) Copy   

•   Source: SciCrunch Registry

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

Software package for calculating aggregated isotopic distribution and exact center-masses for chemical substances (in this version composed of C, H, N, O and S).

Proper citation: BRAIN (RRID:SCR_003018) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/sasqpcr/

All-in-one computer program for robust and rapid analysis of quantitative reverse transcription real-time polymerase chain reaction (RT-qPCR) data in SAS. It incorporates all functions important for RT-qPCR data analysis including assessment of PCR efficiencies, validation of internal reference genes and normalizers, normalization of confounding variations across samples and statistical comparisons of target gene expression in parallel samples. The program is highly automatic in data analyses and result output. The input data have no limitations for the number of genes or cDNA samples. Users can simply change the macro variables to test various analytical strategies, optimize results and customize the analytical processes. The program is also extendable allowing advanced SAS users to develop particular statistical tests appropriate for their experimental designs. Thus users are the actual decision-makers controlling RT-qPCR data analyses. The program has to be used in SAS software; however, extensive SAS programming knowledge is not required.

Proper citation: SASqPCR (RRID:SCR_003056) Copy   

•   Source: SciCrunch Registry

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

R package providing functions to assess and to compare the performance of risk prediction (survival) models.

Proper citation: SurvComp (RRID:SCR_003054) Copy   

•   Source: SciCrunch Registry

https://github.com/PacificBiosciences/Bioinformatics-Training/wiki/pacBioToCA

A module in the Celera Assembler software package that performs error correction on PacBio long reads by mapping shorter, high accuracy reads onto the long reads.

Proper citation: PacBioToCA (RRID:SCR_003044) Copy   

•   Source: SciCrunch Registry