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http://rocr.bioinf.mpi-sb.mpg.de/

ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. It features over 25 performance measures that can be freely combined to create two-dimensional performance curves. Standard methods for investigating trade-offs between specific performance measures are available within a uniform framework, including receiver operating characteristic (ROC) graphs, precision/recall plots, lift charts and cost curves. ROCR integrates tightly with R''s powerful graphics capabilities, thus allowing for highly adjustable plots. Being equipped with only three commands and reasonable default values for optional parameters, ROCR combines flexibility with ease of usage. Performance measures that ROCR knows: Accuracy, error rate, true positive rate, false positive rate, true negative rate, false negative rate, sensitivity, specificity, recall, positive predictive value, negative predictive value, precision, fallout, miss, phi correlation coefficient, Matthews correlation coefficient, mutual information, chi square statistic, odds ratio, lift value, precision/recall F measure, ROC convex hull, area under the ROC curve, precision/recall break-even point, calibration error, mean cross-entropy, root mean squared error, SAR measure, expected cost, explicit cost. ROCR features: ROC curves, precision/recall plots, lift charts, cost curves, custom curves by freely selecting one performance measure for the x axis and one for the y axis, handling of data from cross-validation or bootstrapping, curve averaging (vertically, horizontally, or by threshold), standard error bars, box plots, curves that are color-coded by cutoff, printing threshold values on the curve, tight integration with Rs plotting facilities (making it easy to adjust plots or to combine multiple plots), fully customizable, easy to use (only 3 commands). ROCR can be used under the terms of the GNU General Public License. Running within R, it is platform-independent.

Proper citation: Classifier Visualization in R (RRID:SCR_008551) Copy   

•   Source: SciCrunch Registry

http://dove.embl-heidelberg.de/Blast2/

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This portal let you search BLAST through the WU-BLAST2 Search Service provided by the Bork Group at EMBL. Sponsors: This resource is supported by EMBL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Bork Group's WU-BLAST2 Search Service at EMBL (RRID:SCR_008431) Copy   

•   Source: SciCrunch Registry

http://cython.org/

Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations. The Cython language is very close to the Python language, but Cython additionally supports calling C functions and declaring C types on variables and class attributes. This allows the compiler to generate very efficient C code from Cython code. This makes Cython the ideal language for wrapping external C libraries, and for fast C modules that speed up the execution of Python code. Sponsor. Google and Enthought funded Dag Seljebotn to greatly improve Cython integration with NumPy. Kurt Smith and Danilo Freitas were funded through the Google Summer of Code program to work on improved Fortran and C support respectively.

Proper citation: Cython C-Extensions for Python (RRID:SCR_008466) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/cgi-bin/blast/submitblast/d_rerio

This Blast server offers searches against all D. rerio finished and unfinished clones in the Sanger sequencing pipeline. You can now also search the de novo assemblies generated from sequencing of one doubled haploid homozygous individual of each the AB and Tuebingen strain. Both fish were sequenced to ~40x coverage using Illumina GA sequencing technology and the sequences were assembled using Phusion2, resulting in a 1,33 Gb AB and a 1.48 Gb Tuebingen assembly. Due to the short reads and short inserts and no integration of physical or genetic map data, both assemblies are highly fragmented - with an N50 contig size of about 5kb. Mis-assembly errors may also be present in the contigs. Please note these assemblies are independent additions to the assemblies released by the zebrafish genome project and are intended to aid identification of polymorphisms between these two strains. Charity. Genome Research Limited is a charity registered in England with number 1021457

Proper citation: D. rerio Blast Server (RRID:SCR_008461) Copy   

•   Source: SciCrunch Registry

http://developer.yahoo.com/yui/

The YUI Library is a set of utilities and controls, written with JavaScript and CSS, for building richly interactive web applications using techniques such as DOM scripting, DHTML and AJAX. YUI is available under a BSD license and is free for all uses. YUI is proven, scalable, fast, and robust. Built by frontend engineers at Yahoo! and contributors from around the world, it''s an industrial-strength JavaScript library for professionals who love JavaScript.

Proper citation: Yahoo Developer Network (RRID:SCR_008594) Copy   

•   Source: SciCrunch Registry

http://www.ltp-program.com

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on Jan 16th 2025. WinLTP is a stimulation, data acquisition and on-line analysis electrophysiological software for studying Long-Term Potentiation (LTP), Long-term Depression (LTD), and related phenomena. WinLTP is multitasking and simultaneously runs 1) LTP stimulus/acquisition/analyzing sweeps with protocol scripting, and 2) continuous acquisition saving Axon Binary Files (abf). WinLTP runs on Windows PCI bus computers and uses National Instruments PCI M-Series boards and Axon Instruments'' Digidata 1320A and 1322A data acquisition boards. Other software that can use the M-Series boards includes Axograph Scientific''s AxoGraph X, WaveMetrics'' IGOR, National Instruments'' LabView, John Dempster''s Strathclyde Electrophysiology Suite (WinWCP and WinEDR), Silver lab''s Nclamp, and QUB data acquisition., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: WinLTP (RRID:SCR_008590) Copy   

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http://motif-x.med.harvard.edu

motif-x (short for motif extractor) is a software tool designed to extract overrepresented patterns from any sequence data set. The algorithm is an iterative strategy which builds successive motifs through comparison to a dynamic statistical background.

Proper citation: Motif Extractor (RRID:SCR_008628) Copy   

•   Source: SciCrunch Registry

http://www.de-idata.com

A commercial organization that suppplies software which creates separate HIPAA-compliant repositories of de-identified patient records and reports. This software allows clinicians, researchers, and administrative leadership to safely access, search, share, and analyze de-identified patient-level data. DE-ID can be acquired as stand-alone tool or integrated with data networks or clinical information systems.

Proper citation: DE-ID Data Corp (RRID:SCR_008668) Copy   

•   Source: SciCrunch Registry

http://human-phenotype-ontology.github.io/

The Disease Ontology group has developed a set of standard representations of phenotypes associated with diseases useful in bioinformatics applications. These are formalized into an ontological structure and are encoded in OWL. Neurodegenerative diseases have a wide and complex range of biological and clinical symptoms. While neurodegenerative diseases share many pathological features in common, they also contain unique signatures. Animal models of these disorders are key to translational research. However, animal models typically replicate only a subset of disease features or display features that are only indirectly related to a given disorder, whose relationship to the human condition may be across several diseases. Matching animal models to human diseases is therefore a significant informatics challenge. We have been working to develop ontologies that capture essential features of neurodegenerative diseases and associated animal models in a way that allows more flexible matching of animal models to human disorders and in a way that makes explicit commonalities and differences among animal models and human neurodegenerative disease. Creating ontologies for diseases and disorders is a very challenging task (Gupta et al., 2003) because of the complexity of the disorders and because of the limitations of current ontology formalisms. In order to simplify the approach and make it practical for use in information systems, we have focused on formal descriptions of phenotypes associated with diseases and animal models rather than on a formal model of the disease process itself. We employ the modular ontologies developed as part of the Neuroscience Information Framework (NIF: http://nif.nih.gov) and the Phenotype and Trait Ontology (PATO), an ontology of qualities associated with biological phenotypes, to create a flexible template for creating phenotypic statements at the class and instance levels. We show how these phenotypes can be used to look for commonalities across multiple neurodegenerative conditions and animal models.

Proper citation: Disease Phenotype Ontology (RRID:SCR_008687) Copy   

•   Source: SciCrunch Registry

http://pga.mgh.harvard.edu/oligopicker/

Software to help selecting up to five oligo probes for each of the DNA sequences you provided for microarray spotting.

Proper citation: OligoPicker (RRID:SCR_008720) Copy   

•   Source: SciCrunch Registry

http://www.procure.ca/index.php

The main goal of PROCURE is to provide science and humanity with means to help prevent and cure prostate cancer a disease which this year alone will be diagnosed in an estimated 25,500 Canadian men and one which will, on average, take the lives of 85 men every week. PROCURE strives to redefine the boundaries of research and knowledge by: * Initiating an on-going dialogue with the public and healthcare community to provide needed information and support through accessible means such as: ** A comprehensive website in French and English ** Lectures and special events ** Free book on prostate cancer * Funding and structuring over time a bank of biological materials and data on men with prostate cancer as well as those at risk of developing the disease. Such a Biobank, as it is known, will accelerate breakthrough scientific discovery. Join our alliance today by informing yourself and loved ones. Encourage the other men you care about to have an examination. Make a contribution to our cause. Help us keep information on this site up-to-date. In doing so you will become part of the force against prostate cancer!

Proper citation: PROCURE (RRID:SCR_008722) Copy   

•   Source: SciCrunch Registry

http://www.scioncorp.com/pages/product_prices.htm#Software

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. Commercial software vendor.

Proper citation: Scion Image (RRID:SCR_008673) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/drgap/

Designed to identify Driver Genes and Pathways in cancer genome sequencing studies.

Proper citation: DrGaP (RRID:SCR_008670) Copy   

•   Source: SciCrunch Registry

http://www.danga.com/memcached/

A commercial distributed memory object caching system, generic in nature, but originally intended for use in speeding up dynamic web applications by alleviating database load. memcached allows you to take memory from parts of your system where you have more than you need and make it accessible to areas where you have less than you need. With memcached, you can see that all of the servers are looking into the same virtual pool of memory. This means that a given item is always stored and always retrieved from the same location in your entire web cluster.

Proper citation: Memached (RRID:SCR_008625) Copy   

•   Source: SciCrunch Registry

http://www.apache.org/

Provides support for the Apache community of open-source software projects. The Apache projects are characterized by a collaborative, consensus based development process, open and pragmatic software license, and a desire to create high quality software that leads the way in its field.

Proper citation: Apache Software Foundation (RRID:SCR_008588) Copy   

•   Source: SciCrunch Registry

http://www.gnuplot.info/

Gnuplot is a portable command-line driven graphing utility for linux, OS/2, MS Windows, OSX, VMS, and many other platforms. The source code is copyrighted but freely distributed (i.e., you don''t have to pay for it). It was originally created to allow scientists and students to visualize mathematical functions and data interactively, but has grown to support many non-interactive uses such as web scripting. It is also used as a plotting engine by third-party applications like Octave. Gnuplot has been supported and under active development since 1986. Gnuplot supports many types of plots in either 2D and 3D. It can draw using lines, points, boxes, contours, vector fields, surfaces, and various associated text. It also supports various specialized plot types. Demos here. Gnuplot supports many different types of output: interactive screen terminals (with mouse and hotkey input), direct output to pen plotters or modern printers, and output to many file formats (eps, fig, jpeg, LaTeX, metafont, pbm, pdf, png, postscript, svg, ...). Gnuplot is easily extensible to include new output modes. Recent additions include an interactive terminal based on wxWidgets and the creation of mousable graphs for web display using the HTML5 canvas element.

Proper citation: Gnuplot (RRID:SCR_008619) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/cancer/cga/invex/

A permutation-based method (written in Python) for ascertaining genes with a somatic mutation distribution showing evidence of positive selection for non-silent mutations.

Proper citation: InVEx (RRID:SCR_008734) Copy   

•   Source: SciCrunch Registry

http://www.moffitt.org/

H. Lee Moffitt Cancer Center & Research Institute has made a lasting commitment to the prevention and cure of cancer, working tirelessly in the areas of patient care, research and education to advance one step further in fighting this disease. As part of an elite group of National Cancer Institute (NCI) Comprehensive Cancer Centers, Moffitt focuses on the development of early stage translational research aimed at the rapid translation of scientific discoveries to benefit patient care. Since the first patient admission in October 1986, Moffitt physicians, scientists and staff members have worked together to establish a tradition of excellence offered in an atmosphere characterized by kindness, caring and hope. The Cancer Center''s future growth in clinical care and research rests firmly on this tradition and makes possible the changes ahead. The mission of Moffitt Cancer Center is to contribute to the prevention and cure of cancer. Moffitt''s vision is to be the leader in scientific discovery and translation into compassionate care, cures, and prevention of cancer for our community and the world. As it grows to fulfill its mission, the Cancer Center will continue to be distinguished by its compassionate and effective patient care. Moffitt Cancer Center is a not-for-profit institution. It includes private patient rooms, the Southeast''s largest Blood and Marrow Transplant Program, outpatient treatment programs that record more than 320,500 visits a year, the Moffitt Research Center, Moffitt Cancer Center at International Plaza and the Lifetime Cancer Screening & Prevention Center.

Proper citation: Moffitt Cancer Center (RRID:SCR_008730) Copy   

•   Source: SciCrunch Registry

http://helix.wustl.edu/dcaps/dcaps.html

A simple program for finding nearly matched primers Sponsor: This material is based upon work supported by the National Science Foundation under Grant No. 0114726.

Proper citation: dCAPS Finder (RRID:SCR_008612) Copy   

•   Source: SciCrunch Registry

http://www.rulesbasedmedicine.com/

Rules-Based Medicine (RBM) uses proprietary Multi-Analyte Profiling (MAP) technology to make life science research and drug and diagnostic development programs more efficient and effective. Whether measuring hundreds of biomarkers or simply a few, our approach provides reproducible, quantitative immunoassay data from a small sample volume at a cost-effective price. RBM is CLIA certified and supports GLP studies. * Quality: All immunoassays are validated to clinical laboratory standards. This means complete validation for the clinic, not fit for purpose validation which at RBM means inferior validation. Learn More * Content: We have the most comprehensive menu of biomarker immunoassays available. * Small Sample Volumes: Multiplexing provides you with more data using a smaller sample volume. * Cost Effective: Multiplexing and automation combine to deliver high quality data at reasonable prices. * Ease of use: Ship us your samples and get results within 2 weeks. Rules-Based Medicine (RBM), the worlds leading multiplexed biomarker testing laboratory, provides comprehensive protein biomarker products and services based on its Multi-Analyte Profiling (MAP) technology platform. RBMs biomarker testing service provides pre-clinical and clinical researchers with reproducible, quantitative, multiplexed immunoassay data for hundreds of proteins in a cost-effective manner, from a small sample volume and from multiple species. Our biomarker testing laboratory is CLIA certified and supports GLP studies. Most diseases and drug effects manifest themselves in abnormal levels of specific biomarkers found in the peripheral blood. By providing multiplexed, quantitative, and reproducible tests for hundreds of biomarkers, RBM enables research that historically was not available due to sample volume requirements and associated costs. Use of our testing services can identify the sources of both the positive and negative effects of drugs during pre-clinical research and clinical trials. Biomarker testing results identify patients most likely to respond to a given therapy and the biochemical reason for that response, making clinical trials more successful and effective. Through its wholly owned subsidiary EDI GmbH, RBM provides Human Organo-Typic (HOT) cell culture systems. These co-culture systems consist of multiple primary cell types grown in a 3-D architecture that closely mimic particular human organs and are an ideal platform for ex vivo studies of drug safety and efficacy. RBM combines EDIs cell culture systems with its HumanMAP biomarker testing services to provide researchers with an unprecedented view of the physiological and biochemical impact of a new drug compound or consumer product prior to testing in a human subject. RBM also performs custom assay development, participates in co-sponsored research programs, and pursues in-licensing of novel high-value assays.

Proper citation: Rules Based Medicine (RRID:SCR_008575) Copy   

•   Source: SciCrunch Registry