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http://od1n.sourceforge.net

A C++ software framework to develop, simulate and run magnetic resonance sequences on different platforms.

Proper citation: Object-Oriented Development Interface for NMR (RRID:SCR_005974) Copy   

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http://www.pierroton.inra.fr/genetics/labo/Software/Famoz/index.html

Software application that uses likelihood calculation and simulation to perform parentage studies with codominant, dominant, cytoplasmic markers or combinations of the different types (entry from Genetic Analysis Software)

Proper citation: FAMOZ (RRID:SCR_007477) Copy   

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http://www.biological-networks.org/p/outliers/

Software that performs a morphology-based approach for the automatic identification of outlier neurons based on neuronal tree structures. This tool was used by Zawadzki et al. (2012), who reported on and its application to the NeuroMorpho database. For the analysis, each neuron is represented by a feature vector composed of 20 measurements, which are projected into lower dimensional space with PCA. Bivariate kernel density estimation is then used to obtain a probability distribution for cells. Cells with high probabilities are understood as archetypes, while those with the small probabilities are classified as outliers. Further details about the method and its application in other domains can be found in Costa et al. (2009) and Echtermeyer et al. (2011). This version requires Matlab (Mathworks Inc, Natick, USA) and allows the user to apply the workflow using a graphical user interface.

Proper citation: DONE: Detection of Outlier NEurons (RRID:SCR_005299) Copy   

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http://www.mds.qmw.ac.uk/statgen/dcurtis/software.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5th,2023. Software application that uses Monte Carlo method for assessing significance of a case-control association study with multi-allelic marker. (entry from Genetic Analysis Software).

Proper citation: CLUMP (RRID:SCR_007476) Copy   

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http://publications.nigms.nih.gov/computinglife/

An NIGMS magazine that showcases the exciting ways that scientists are using the power of computers to expand our knowledge of biology and medicine. From text messaging friends to navigating city streets with GPS technology, we''re all living the computing life. But as we''ve upgraded from snail mail and compasses, so too have scientists. Computer advances now let researchers quickly search through DNA sequences to find gene variations that could lead to disease, simulate how flu might spread through your school and design three-dimensional animations of molecules that rival any video game. By teaming computers and biology, scientists can answer new and old questions that could offer insights into the fundamental processes that keep us alive and make us sick. This booklet introduces you to just some of the ways that physicists, biologists and even artists are computing life. Each section focuses on a different research problem, offers examples of current scientific projects and acquaints you with the people conducting the work. You can follow the links for online extras and other opportunities to learn aboutand get involved inthis exciting new interdisciplinary field.

Proper citation: NIGMS Computing Life (RRID:SCR_005850) Copy   

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http://www.thomaskoenig.ch/Lester/ibaspm.htm

The aim of this work is to present a toolbox for structure segmentation of structural MRI images. All programs were developed in MATLAB based on a widely used fMRI, MRI software package, SPM99, SPM2, SPM5 (Wellcome Department of Cognitive Neurology, London, UK). Other previous works have developed a similar strategy for obtaining the segmentation of individual MRI image into different anatomical structures using a standardized Atlas. Have to be mentioned the one introduced by Montreal Neurological Institute (MNI) that merges the information coming from ANIMAL (algorithm that deforms one image (nonlinear registration) to match previously labelled) and INSECT (Cerebral Tissue Classification) programs for obtaining a suitable gross cortical structure segmentation (Collins et al, 1999). Here both, nonlinear registration and gray matter segmentation processes have been performed through SPM99, SPM2, SPM5 subroutines. Three principal elements for the labeling process are used: gray matter segmentation, normalization transform matrix (that maps voxels from individual space to standardized one) and MaxPro MNI Atlas. All three are combined to yield a good performance in segmenting gross cortical structures. The programs here can be used in general for any standardized Atlas and any MRI image modality. System Requirements: 1. The IBASPM graphical user interface (GUI) runs only under MATLAB 7.0 or higher. The non-graphical version runs under MATLAB 6.5 or higher. 2. Statistical Parametrical Mapping Software SPM2, SPM5 Main Functions: * Atlasing: Main function ( This file contains spm_select script from SPM5 toolbox and uigetdir script from MATLAB 7.0 ). * Auto_Labeling : Computes individual atlas. * Create_SPAMs : Constructs Statistical Probability Anatomy Maps (SPAMs). * Create_MaxProb : Creates Maximum Probability Atlas (MaxPro) using the SPAMs previously computed. * All_Brain_Vol : Computes whole brain volume masking the brain using the segmentation files (if the segmentation files does not exist it segments). * Struct_Vol : Computes the volume for different structures based on individual Atlas previously obtained by the atlasing process. * Vols_Stats : Computes mean and standard deviation for each structure in a group of individual atlases.

Proper citation: IBASPM: Individual Brain Atlases using Statistical Parametric Mapping Software (RRID:SCR_007110) Copy   

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http://www.birncommunity.org/tools-catalog/gradient-non-linearity-distortion-correction/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software tool to correct gradient non-linearity distortions in MR structural images. This correction improves test-retest reproducibility crucial for multi-site studies.

Proper citation: Gradient Non-linearity Distortion Correction (RRID:SCR_007350) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29358&a=31596&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. So far there is only limited knowledge about possible genetic influences in acute spinal cord injuries (SCI). In this project DNA is collected prospectively from persons with SCI admitted to the acute SCI rehabilitation unit of the Karolinska University Hospital. Trauma is the cause of injury in a majority of the patients. Other causes of injury are spinal abscesses, tumors or spinal infarctions. The aim of the project is to create a sufficiently large DNA biobank with samples from 200-400 individuals from clinically well characterized patients to allow for studies of association between candidate genes and clinical outcome parameters.

Proper citation: KI Biobank - SCI (RRID:SCR_005849) Copy   

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http://www.harzing.com/pop.htm

Software program that allows researchers to perform citation analysis and calculate various impact metrics. It uses Google Scholar to obtain the raw citations, then analyzes these and presents the following statistics: * Total number of papers * Total number of citations * Average number of citations per paper * Average number of citations per author * Average number of papers per author * Average number of citations per year * Hirsch''s h-index and related parameters * Egghe''s g-index * The contemporary h-index * The age-weighted citation rate * Two variations of individual h-indices * An analysis of the number of authors per paper. The results are available on-screen and can also be copied to the Windows clipboard (for pasting into other applications) or saved to a variety of output formats (for future reference or further analysis). The Publish or Perish software is a Microsoft Windows application that can also be installed and used on Apple Mac OS X and GNU/Linux computers, with the aid of a suitable emulator such as Wine or CrossOver Mac.

Proper citation: Publish or perish (RRID:SCR_005968) Copy   

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http://darwin.uvigo.es/software/treescan.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Software application that is intended to provide p-values for the hypothesis of association between evolutionary clades and continuous traits, using haplotype trees. (entry from Genetic Analysis Software)

Proper citation: TREESCAN (RRID:SCR_007108) Copy   

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http://pngu.mgh.harvard.edu/purcell/whap/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 24, 2015. This package is no longer supported. The majority of the functionality for conditional haplotype tests in population-based samples has been implemented in PLINK, with a better interface and more robust, faster computation: please use that from now on. Software tool to perform haplotype-based association analysis, for quantitative and qualitative traits, in population and family samples, using single nucleotide polymorphism or multiallelic marker data. What whap can do: * Analyze quantitative and qualitative traits * Handle unrelated individuals and/or parent-offspring trio data * Perform a regression-based haplotype association test for SNP data * Perform a secondary test based on pairwise haplotype similarity * Phase genotype data using a standard E-M approach, and handle ambiguity in E-M inferred haplotypes * Include covariates and moderator variables * Flexibly constrain effects across haplotypes to tested nested models * Perform a robust within-family test when parental genotypes are present * Analyze multiallelic markers (new) * Use dominant or recessive (new) genetic models (new)

Proper citation: Whap (RRID:SCR_007103) Copy   

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http://www.incf.org/newsroom

Find all news and updates about INCF and neuroinformatics in the International Neuroinformatics Coordinating Facility (INCF) Newsroom.

Proper citation: INCF Newsroom (RRID:SCR_006493) Copy   

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http://mga.bionet.nsc.ru/soft/mgamapf2/

Software application that map QTLs in F-2 intercross in model organisms (entry from Genetic Analysis Software)

Proper citation: MGA-MAPF2 (RRID:SCR_008108) Copy   

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http://openccdb-dev-web.crbs.ucsd.edu/software/index.shtm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 4th,2023. Software application that is a web-based tool for viewing and annotating images. The application is based on the open source Google Web Toolkit (GWT) version 1.7, which generates Javascript code that runs on the user''s web browser. No special installation or software other than a Javascript-enabled web browser is required for use. Images to be viewed or annotated are preprocessed into multi-resolution tiles by either the commercial Zoomify preprocessor application or a locally written `zoomify_create'' tool, which produces lossless Portable Network Graphics (PNG) tiles. The WebImageBrowser application reads and manages tiled images in a manner similar to Google Maps or similar applications, allowing viewing of images of arbitrarily large size. The source code is available at https://github.com/OpenCCDB/WebImageBrowser . It requires a build. If you want the annotation function to be enabled, then you will need to install the CCDB schema in the Postgres database.

Proper citation: WebImageBrowser (RRID:SCR_007015) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29332&a=103697&l=en

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 3rd,2023. Recently it has been discovered that specific Single Nucleotide Polymorphisms (SNPs) may elevate the risk of developing prostate cancer. This study aims at investigating whether it is possible to use these SNPs in a clinical setting in order to sharpen the diagnostic tools when investigating if a man has prostate cancer. By collecting blood from men who have undergone a needle biopsy of the prostate and do a SNP analysis of their genes and compare this with the result of the biopsy and PSA result we hope to be able to develop a test that is more specific than the routine that is being used today. Sample types: * EDTA whole blood * DNA Number of sample donors: 5321 (June 2010)

Proper citation: SPSAC - Stockholm PSA Cohort (RRID:SCR_006042) Copy   

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http://csg.sph.umich.edu/boehnke/sibmed.php

Software application that identifies likely genotyping errors and mutations for a sib pair in the context of multipoint mapping. (entry from Genetic Analysis Software)

Proper citation: SIBMED (RRID:SCR_007495) Copy   

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http://ki.se/ki/jsp/polopoly.jsp?d=29346&a=103574&l=en

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 2, 2016. Cardiovascular disease and periodontitis are common diseases, causing considerable suffering and costs. Despite strong links between the two diseases it is unclear if periodontitis causes cardiovascular disease. The primary aims are to investigate whether periodontitis is a risk factor for the development of myocardial infarction and if periodontitis increases the risk for new cardiovascular events such as myocardial infarction, stroke and death in patients with a previous myocardial infarction. PAROKRANK is a case control study. Cases (n=1500) are patients with a first myocardial infarction and controls population derived people without cardiovascular disease(n=1500). Both groups are subjected to predefined dental examinations, analyses of a variety of risk factors and a biobank of blood and dental samples will be established. Information is collected from available registries (RIKS-HIA and SEPHIA) and study specific records.

Proper citation: KI Biobank - PAROKRANK (RRID:SCR_006045) Copy   

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http://bioinformatics.ua.pt/coeus/

A semantic web-powered knowledge management framework, aiming at a streamlined application development cycle and following a semantic web in a box approach. The framework provides a single package including advanced data integration and triplification tools, base ontologies, a web-oriented engine and a flexible exploration API. Resources can be integrated from heterogeneous sources, including CSV and XML files or SQL and SPARQL query results, and mapped directly to one or more ontologies. Advanced interoperability features include REST services, a SPARQL endpoint and LinkedData publication. These enable the creation of multiple applications for web, desktop or mobile environments, and empower a new knowledge federation layer. It is targeted at rapid application deployment of new applications in any research field, supported by a comprehensive integration engine and an advanced data distribution API.

Proper citation: COEUS (RRID:SCR_006287) Copy   

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http://www.mapmanager.org/mmQT.html

A graphic, interactive program to map quantitative trait loci by regression methods; MAP MANAGER CLASSIC enhanced by quantitative trait mapping. (entry from Genetic Analysis Software)

Proper citation: MAP MANAGER QT (RRID:SCR_008101) Copy   

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http://www.sanger.ac.uk/Projects/D_rerio/zmp/

Create knockout alleles in protein coding genes in the zebrafish genome, using a combination of whole exome enrichment and Illumina next generation sequencing, with the aim to cover them all. Each allele created is analyzed for morphological differences and published on the ZMP site. Transcript counting is performed on alleles with a morphological phenotype. Alleles generated are archived and can be requested from this site through the Zebrafish International Resource Center (ZIRC). You may register to receive updates on genes of interest, or browse a complete list, or search by Ensembl ID, gene name or human and mouse orthologue.

Proper citation: ZMP (RRID:SCR_006161) Copy   

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