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http://khmer.readthedocs.org/

Software library and suite of command line tools for working with DNA sequence that takes a k-mer-centric approach to sequence analysis. It is primarily aimed at short-read sequencing data such as that produced by the Illumina platform.

Proper citation: khmer (RRID:SCR_001156) Copy   

•   Source: SciCrunch Registry

http://www.speedbiosystems.com/

Commercial antibody supplier based in Maryland.

Proper citation: Speed BioSystems (RRID:SCR_001673) Copy   

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http://bmsr.usc.edu/software/targetgene/

MATLAB tool to effectively identify potential therapeutic targets and drugs in cancer using genetic network-based approaches. It can rapidly extract genetic interactions from a precompiled database stored as a MATLAB MAT-file without the need to interrogate remote SQL databases. Millions of interactions involving thousands of candidate genes can be mapped to the genetic network within minutes. While TARGETgene is currently based on the gene network reported in (Wu et al.,Bioinformatics 26:807-813, 2010), it can be easily extended to allow the optional use of other developed gene networks. The simple graphical user interface also enables rapid, intuitive mapping and analysis of therapeutic targets at the systems level. By mapping predictions to drug-target information, TARGETgene may be used as an initial drug screening tool that identifies compounds for further evaluation. In addition, TARGETgene is expected to be applicable to identify potential therapeutic targets for any type or subtype of cancers, even those rare cancers that are not genetically recognized. Identification of Potential Therapeutic Targets * Prioritize potential therapeutic targets from thousands of candidate genes generated from high-throughput experiments using network-based metrics * Validate predictions (prioritization) using user-defined benchmark genes and curated cancer genes * Explore biologic information of selected targets through external databases (e.g., NCBI Entrez Gene) and gene function enrichment analysis Initial Drug Screening * Identify for further evaluation existing drugs and compounds that may act on the potential therapeutic targets identified by TARGETgene * Explore general information on identified drugs of interest through several external links Operating System: Windows XP / Vista / 7

Proper citation: TARGETgene (RRID:SCR_001392) Copy   

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http://www.ijs.si/ijsw/JSI

A scientific research institute that is involved with a broad spectrum of basic and applied research. Some of the areas they focus on include production and control technologies, communication and computer technology, and energy utilization and environmental science. They also engage in collaborations to develop medical equipment and new diagnostic methods into clinical medicine.

Proper citation: Jozef Stefan Institute; Ljubljana; Slovenia (RRID:SCR_000974) Copy   

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http://faculty.washington.edu/browning/beagle/beagle.html

Software package for analysis of large-scale genetic data sets with hundreds of thousands of markers genotyped on thousands of samples. BEAGLE can * phase genotype data (i.e. infer haplotypes) for unrelated individuals, parent-offspring pairs, and parent-offspring trios. * infer sporadic missing genotype data. * impute ungenotyped markers that have been genotyped in a reference panel. * perform single marker and haplotypic association analysis. * detect genetic regions that are homozygous-by-descent in an individual or identical-by-descent in pairs of individuals. Beagle can also be used in conjunction with PRESTO, a program for fast and flexible permutation testing. PRESTO can compute empirical distributions of order statistics, analyze stratified data, and determine significance levels for one-stage and two-stage genetic association studies. BEAGLE is written in Java and runs on any computing platform with a Java version 1.6 interpreter (e.g. Windows, Unix, Linux, Solaris, Mac).

Proper citation: BEAGLE (RRID:SCR_001789) Copy   

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

Software R package to model and impute non-detects in results of qPCR experiments.Used to directly model non-detects as missing data.

Proper citation: nondetects (RRID:SCR_001702) Copy   

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https://www.apbenson.com/cyrillic-downloads

Software application for pedigree drawing with fully integrated risk analysis and support for industry standard databases (MS Access and Corel Paradox). It is designed for genetic counselors and others who work with patients. Cyrillic 2 draws pedigrees, works with genetic marker data, lets you do haplotyping and allows exports to a range of linkage analysis packages.

Proper citation: CYRILLIC (RRID:SCR_001823) Copy   

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http://www.zfishbook.org/NGP/journalcontent/SCORE/SCORE.html

Narrative resource describing a visual data analysis and collection approach that takes advantage of the cylindrical nature of the zebrafish allowing for an efficient and effective method for image capture called, Specimen in a Corrected Optical Rotational Enclosure (SCORE) Imaging. To achieve a non-distorted image, zebrafish were placed in a fluorinated ethylene propylene (FEP) tube with a surrounding, optically corrected imaging solution: water. By similarly matching the refractive index of the housing (FEP tubing) to that of the inner liquid and outer liquid (water), distortion was markedly reduced, producing a crisp imagable specimen that is able to be fully rotated 360 degrees. A similar procedure was established for fixed zebrafish embryos using convenient, readily available borosilicate capillaries surrounded by 75% glycerol. The method described could be applied to chemical genetic screening and other, related high-throughput methods within the fish community and among other scientific fields.

Proper citation: Zebrafish - SCORE Imaging: Specimen in a Corrected Optical Rotational Enclosure (RRID:SCR_001300) Copy   

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https://www.anaspec.com/

Commercial supplier of antibodies, reagents, and dyes for research.

Proper citation: AnaSpec (RRID:SCR_002114) Copy   

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http://clip.med.yale.edu/presto/

Software toolkit for processing raw reads from high-throughput sequencing of lymphocyte repertoires.

Proper citation: pRESTO (RRID:SCR_001782) Copy   

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http://neuro.debian.net/pkgs/cmtk.html

A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction; EPI unwarping), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear model). CMTK is implemented in C++ with parallel processing using POSIX Threads (SMP), OpenMP (SMP), Grand Central Dispatch (SMP), and CUDA (GPU). Supported file formats include Analyze (r/w), NIFTI (r/w), Nrrd (r/w), DICOM (read), BioRad (read). Data exchange with other toolkits, such as ITK, FSL, AFNI, SPM, etc. is thus easily accomplished.

Proper citation: Computational Morphometry Toolkit (RRID:SCR_002234) Copy   

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http://www.math.hkbu.edu.hk/~mng/CLUSTAG/CLUSTAG.html

Software application that uses hierarchical clustering and graph methods for selecting tag SNPs (single nucleotide polymorphisms). Cluster and set-cover algorithms are developed to obtain a set of tag SNPs that can represent all the known SNPs in a chromosomal region, subject to the constraint that all SNPs must have a squared correlation R2 > C with at least one tag SNP, where C is specified by the user. The program is implemented with Java, and it can run in Windows platform as well as the Unix environment.

Proper citation: CLUSTAG (RRID:SCR_001816) Copy   

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http://www.openbioinformatics.org/

An open bioinformatis software repository with no tie to any organization or institution. Contact them to host your software.

Proper citation: OpenBioinformatics.org (RRID:SCR_002229) Copy   

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http://dataferrett.census.gov

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 20,2025. A data analysis and extraction tool from the US Census Bureaus with recoding capabilities to customize federal, state, and local data to suit your requirements. DataFerret works with the DataWeb, a network of online data libraries and an infrastructure for intelligent browsing. TheDataweb provides easy access to data from disparate locations across the internet using DataFerrett as its interface. It brings together demographic, economic, environmental, health, and other datasets that are usually separated by geography and/or organization.Using DataFerrett, you can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands. For a listing/description of datasets available using the DataFerrett refer to the Datasets Available tab. DataFerrett helps you locate and retrieve the data you need across the Internet to your desktop or system, regardless of where the data resides. You can develop and customize tables and select the results to create a graph or map for a visual depiction of your data. You can also save your data in the databasket and save the table you have created for reuse. The DataFerrett tool can use a java applet through an internet browser or be installed as an application on your desktop. The DataFerrett Applet requires you to have popup windows enabled in your browser for this website to function properly.

Proper citation: TheDataWeb and DataFerrett (RRID:SCR_003197) Copy   

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http://www.nihtoolbox.org/

An integrated set of tools for measuring cognitive, emotional, motor and sensory function. These tools are being validated for use in diverse cultures, ethnic and geographic groups, ages (3-85 years) and study types. The toolbox is expected to provide a more complete picture of neurological and behavioral health in large-scale longitudinal studies, epidemiological studies, and clinical trials; and to facilitate cross-study comparisons. Moreover, the toolbox will: * be minimally burdensome to subjects and investigators, * utilize state-of-the art psychometric approaches and technology, including computer-assisted evaluation, and * be dynamic and adaptable to changes in measurement and technology. * be available in English and Spanish Many clinical studies collect data on aspects of neurological and behavioral function. However, the neurological and behavioral tests currently available to researchers lack uniformity and often require specialized training to administer. These limitations make it difficult to compile data across the full range of normal neurological function, and to compare data across studies. The toolbox is royalty-free and is expected to be available online by summer 2012.

Proper citation: NIH Toolbox - Assessment of Neurological and Behavioral Function (RRID:SCR_002423) Copy   

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http://www.nihtoolbox.org/WhatAndWhy/Motor/Locomotion/Pages/NIH-Toolbox-4--Meter-Walk-Gait-Speed-Test.aspx

Assessment test to measure gait speed where participants are asked to walk a short distance (4 meters) at their usual pace. Participants complete one practice and then two timed trials. Raw scores are recorded as the time in seconds required to walk 4 meters on each of the two trials, with the better trial used for scoring. The 4-Meter Walk Gait Speed Test is adapted from the 4-meter walk test in the Short Physical Performance Battery. The test takes approximately 3 minutes to administer (including instructions and practice). This test is recommended for ages 7-85.

Proper citation: NIH Toolbox 4-Meter Walk Gait Speed Test (RRID:SCR_003632) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Motor/Endurance/Pages/NIH-Toolbox-2-Minute-Walk-Endurance-Test.aspx

Assessment test that measures sub-maximal cardiovascular endurance by recording the distance that the participant is able to walk on a 50-foot (out and back) course in 2 minutes. The participant's raw score is the distance in feet and inches walked in 2 minutes. The test is adapted from the American Thoracic Society's 6-Minute Walk Test Protocol. The test overall takes approximately 4 minutes to administer (with instructions and practice). This test is recommended for ages 3-85.

Proper citation: NIH Toolbox 2-Minute Walk Endurance Test (RRID:SCR_003631) Copy   

•   Source: SciCrunch Registry

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

Software providing a set of functions to generate high-resolution Venn and Euler plots. Includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.

Proper citation: VennDiagram (RRID:SCR_002414) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Motor/Balance/Pages/Balance.aspx

A measure to assess static standing balance that involves the participant assuming and maintaining up to 5 poses for 50 seconds each. The sequence of poses is: eyes open on a solid surface, eyes closed on solid surface, eyes open on foam surface, eyes closed on foam surface, eyes open in tandem stance. Detailed stopping rules are in place to ensure participant safety with these progressively demanding poses. Postural sway is recorded for each pose using an accelerometer that the participant wears at waist level. This test takes approximately 7 minutes to administer and is recommended for ages 3-85.

Proper citation: NIH Toolbox Standing Balance Test (RRID:SCR_003628) Copy   

•   Source: SciCrunch Registry

https://neuro-jena.github.io/software.html#tom

Software toolbox for creating customized pediatric templates. It provides reference data based on imaging data from the NIH study of normal brain development. Using the general linear model, they statistically isolate the influence of external variables of interest on brain structure, allowing us to generate high-quality matched templates for any given group of subjects. The toolbox offers two options: # to create pediatric templates (T1) and tissue maps (GM, WM, and CSF) based on the objective 1 NIH data (n = 404), in the age range of 5-18 years, or # to assess a new reference population with regard to your variables of interest. Of note, this approach is generally applicable and in no way restricted to analyzing pediatric imaging data: for example, if you aim at investigating the effects of aging in elderly subjects, the toolbox will also allow you to create more appropriate reference (if your group is large enough to isolate such effects).

Proper citation: Template-O-Matic Toolbox (RRID:SCR_003220) Copy   

•   Source: SciCrunch Registry