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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.

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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   


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   


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

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


  • RRID:SCR_002905

    This resource has 100+ mentions.

http://www.bhf.org.uk/

British charity and fundraiser for cardiovascular research.

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


http://www.portal.uni-koeln.de/uoc_home.html?&L=1

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   


  • RRID:SCR_002901

    This resource has 1+ mentions.

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   


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   


  • RRID:SCR_003071

    This resource has 10+ mentions.

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   


  • RRID:SCR_003068

http://sourceforge.net/projects/fas-dpd/

Software program to design degenerate primers for PCR.

Proper citation: FAS-DPD (RRID:SCR_003068) Copy   


  • RRID:SCR_003011

    This resource has 50+ mentions.

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   


  • RRID:SCR_003136

http://compbio.cs.sfu.ca/software-novelseq

Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data.

Proper citation: NovelSeq (RRID:SCR_003136) Copy   


  • RRID:SCR_003135

    This resource has 10+ mentions.

http://mrcanavar.sourceforge.net/

Copy number caller that analyzes the whole-genome next-generation sequence mapping read depth to discover large segmental duplications and deletions. It also has the capability of predicting absolute copy numbers of genomic intervals.

Proper citation: mrCaNaVaR (RRID:SCR_003135) Copy   


  • RRID:SCR_003006

    This resource has 1+ mentions.

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   


  • RRID:SCR_003038

    This resource has 1+ mentions.

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   


  • RRID:SCR_003025

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

Software function that calculates the isotopic pattern (fine structures) for a given chemical formula.

Proper citation: Isopat (RRID:SCR_003025) Copy   


  • RRID:SCR_003018

    This resource has 10+ mentions.

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   


  • RRID:SCR_003056

    This resource has 1+ mentions.

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   


  • RRID:SCR_003054

    This resource has 50+ mentions.

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   


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

Software that aligns patterns, i.e. it aims to put corresponding features at the same locations. The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references. One can choose between calculating individual warpings, or one global warping for a set of samples and one reference. Two optimization criteria are implemented: RMS (Root Mean Square error) and WCC (Weighted Cross Correlation).

Proper citation: Parametric Time Warping (RRID:SCR_003053) Copy   


  • RRID:SCR_003051

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

An interactive, user-editable genetic sequence database tool, targeted at molecular biology research groups that can be browsed using tags. The tool is Web 2.0-flavoured, allowing users to do more than just retrieve information. Its focus on user-editability is supported by the use of tags (metadata) associated with genetic sequences. Several methods of retrieving stored data are available including tag-clouds, BLAST and keyword searches. Also, sequence tags related to HGNC gene names, conserved domains (CDD) and GO terms can be automatically generated given sequence data. The tool is constructed using the high-level Python web framework, Django, with a SQLite3 backend.

Proper citation: Gutentag (RRID:SCR_003051) Copy   



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