Tools   Select Another Resource Report Type

http://www.marksgeneticsoftware.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 16,2023. Software program that calculates descriptive statistics, genetic distances, and F-statistics. It also performs tests for Hardy-Weinberg equilibrium, exact tests for genetic differentiation, Mantel tests, and UPGMA cluster analyses. (entry from Genetic Analysis Software)

Proper citation: TFPGA (RRID:SCR_009421) Copy   

•   Source: SciCrunch Registry

http://www.cancer.gov/researchandfunding

Federal government agency for cancer research and training established in 1937. National Cancer Program is responsibility of NCI to coordinate, conduct and support research, training, health information dissemination with respect to cause, diagnosis, prevention, and treatment of cancer, rehabilitation from cancer, and continuing care of cancer patients and families of cancer patients. Supports construction of laboratories, clinics, and related facilities necessary for cancer research through award of grants.

Proper citation: National Cancer Institute (RRID:SCR_011176) Copy   

•   Source: SciCrunch Registry

http://research.mssm.edu/cnic/tools-rayburst.html

A software application which provides the source code for the Rayburst Algorithm. The fully automated algorithm casts rays in a 2D/3D dataset without the use of pre-generated ray tables. It is implemented in ANSI C as a single module. The most current version is Version 1.1, last updated on Aug. 15, 2006.

Proper citation: Rayburst Open-Source Code (RRID:SCR_013799) Copy   

•   Source: SciCrunch Registry

http://braintissuebank.dal.ca

A biomaterial supply resource which supplies brain tissue for researchers studying dementia and other neurodegenerative diseases. The Maritime Brain Tissue Bank archives tissues related to Alzheimer's Disease, mixed dementias, Lewy Body Disease, and Huntington's Disease, among others.

Proper citation: Maritime Brain Tissue Bank (RRID:SCR_013838) Copy   

•   Source: SciCrunch Registry

http://www.edanzediting.com/journal_advisor

A training service which offers English editorial support for primarily non-native English speaking scientific researchers. Users answer a questionairre concerning their progress with their manuscript and Edanz suggests which of its services users should utilize. Services include Journal Advisor, English Editing, Expert Scientific Review, Cover Letter Development, Review Editing, Abstract Development, Response Letter Edit and Manuscript Check, Author-guided Rewriting, and Reviewer Recommendation. Edanz also offers training workshops and seminars for non-native English speakers.

Proper citation: Edanz's journal advisor (RRID:SCR_014013) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/dcm2nii/

A tool for converting images from the complicated formats used by scanner manufacturers (DICOM, PAR/REC) to the NIfTI format used by various scientific tools. dcm2nii works for all modalities (CT, MRI, PET, SPECT) and sequence types.

Proper citation: dcm2nii (RRID:SCR_014099) Copy   

•   Source: SciCrunch Registry

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

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1, 2023. Software application that calculates individual inbreeding (F) and average relatedness (AR) coefficients. Additionally, users can compute useful parameters in population genetics such as: the number of ancestors explaining genetic variability; the genetic importance of the herds; F statistics from genealogical information. (entry from Genetic Analysis Software)

Proper citation: ENDOG (RRID:SCR_013289) Copy   

•   Source: SciCrunch Registry

http://wpicr.wpic.pitt.edu/WPICCompGen/fdr/

Software application (entry from Genetic Analysis Software)

Proper citation: WEIGHTED FDR (RRID:SCR_013442) Copy   

•   Source: SciCrunch Registry

http://www.brainbank.nl

A biomaterial supply resource which collects, stores, and disseminates diseased and healthy brain tissue. The Netherlands Brain Bank currently contains more than 3600 samples, and each sample includes a neuropathological report and donor medical history. The samples can additionally be matched with ante-mortem parameters and post-mortem parameters upon request. Sample types include cortex, spinal cord, cerebrospinal fluid, plasma, and DNA, among others. Database mining is available with a financial contribution.

Proper citation: Netherlands Brain Bank (RRID:SCR_013841) Copy   

•   Source: SciCrunch Registry

http://iso2mesh.sourceforge.net/

A Matlab / Octave-based mesh generation toolbox designed for easy creation of high quality surface and tetrahedral meshes from 3D volumetric images. It contains a rich set of mesh processing scripts/programs, functioning independently or interfacing with external free meshing utilities. Iso2mesh toolbox can operate directly on 3D binary, segmented or gray-scale images, such as those from MRI or CT scans, making it particularly suitable for multi-modality medical imaging data analysis or multi-physics modeling.

Proper citation: iso2mesh (RRID:SCR_013202) Copy   

•   Source: SciCrunch Registry

http://www.openbioinformatics.org/gengen/

A suite of free software tools to facilitate the analysis of high-throughput genomics data sets. The package is currently a work-in-progress and infrequently updated.

Proper citation: GenGen (RRID:SCR_013447) Copy   

•   Source: SciCrunch Registry

http://www.ncl.ac.uk/ion/about/facilities/nbtr/

A biomaterial supply resource which archives and disseminates brain tissue for the study of normal brain aging and brain disorders. Researchers must create an account in order to browse the database of available tissue. Samples are distributed to researchers in such a way that the identity and personal information of donors is protected.

Proper citation: Newcastle Brain Tissue Resource (RRID:SCR_013843) Copy   

•   Source: SciCrunch Registry

http://www.silkscientific.com/graph-digitizer.htm

Digitizer software which can convert graph images to useful (x,y) data by turning a scanner into an automatic graph digitizer. UN‑SCAN‑IT works with most image formats (TIFF, JPG, BMP, GIF, etc.) from any scanner, digital camera, or other image source to digitize plots, instrumental output, published graphs, etc. Its features include: automatically digitizing strip chart and xy recorder output, digitizing graphs that are on different scales to compare results, comparing data with published graphs of other investigators, digitizing old plots and charts for comparison with new data, and re‑scaling and appending existing printed graphs.

Proper citation: UN-SCAN-IT Graph Digitizer Software (RRID:SCR_013725) Copy   

•   Source: SciCrunch Registry

http://www7.inra.fr/mia/T/MendelSoft/

Software application for identifying all Mendelian inconsistencies in complex pedigree data with thousand of individuals, including many loops and several errors. Can also infer missing genotypes. (entry from Genetic Analysis Software)

Proper citation: MENDELSOFT (RRID:SCR_013177) Copy   

•   Source: SciCrunch Registry

http://www.flinders.edu.au/sabs/fcas/alsa/alsa_home.cfm

The general purpose of ALSA is to examine how social, biomedical, psychological, economic, and environmental factors are associated with age-related changes in the health and wellbeing of persons aged 70 years and older. The aim is to analyze the complex relationships between individual and social factors and changes in health status, health care needs and service utilization dimensions, with emphasis given to the effects of social and economic factors on morbidity, disability, acute and long-term care service use, and mortality. The study was designed to have common instrumentation with US studies. ALSA collected data from a random, stratified sample of all persons (both community and institution-dwelling) aged 70 years and older living in the metropolitan area of Adelaide, South Australia, using the State Electoral Database as the sampling frame. Spouses aged 65 and older and other household members aged 70 years and older also were invited to participate. The initial baseline data collection for ALSA began in September 1992 and was completed in March 1993. In the first wave, personal interviews were carried out for 2,087 participants, including 566 couples (that is, persons 70 years of age and over and their spouse, if 65 and over). Clinical assessments were obtained for 1,620 of the participants. Respondents were recontacted by telephone a year after initial interview (wave 2). The third wave of the study began in September 1994 and involved a complete reassessment, with a total of 1,679 interviews and 1,423 clinical assessments. To date, eleven waves of data have been collected, with the latest collection in May 2010, from 168 participants. Six of these waves were conducted via face-to-face interviews and clinical assessments, and five were telephone interviews. Future waves are planned, however are dependent on grant funding. Ancillary data collection has been ongoing since the initiation of the study, e.g., from secondary providers. Lists of ALSA participants are compared biannually with the agencies'' lists to determine the prevalence and incidence of receipt of services from these organizations. Another source of information has been the collection of data from the participants'' general practitioners about the respondent''s health status, history of services received, medication use, referrals to specialists, and current services provided. Baseline Sample Size: 2087 Dates of Study: 1992����������2010 (potentially ongoing) Study Features: * Longitudinal * International * Anthropometric Measures * Biospecimens Waves 1-5 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06707 Wave 6 (ICPSR), http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03679

Proper citation: ALSA - The Australian Longitudinal Study of Ageing (RRID:SCR_013146) Copy   

•   Source: SciCrunch Registry

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

Software package for simultaneous genotype calling and haplotype phasing for unrelated individuals. BEAGLECALL produces output posterior genotype probabilities and output phased haplotypes. BEAGLECALL generates extremely accurate genotype calls because it uses both allele signal intensity data and inter-marker correlation to call genotypes. BEAGLECALL is designed for use with high-density SNP arrays, and it uses the BEAGLE haplotype frequency model to model inter-marker correlation. (entry from Genetic Analysis Software)

Proper citation: BEAGLECALL (RRID:SCR_013301) Copy   

•   Source: SciCrunch Registry

http://dlin.web.unc.edu/software/spreg-2/

Software program for performing regression analysis of secondary phenotype data in case-control association studies. Secondary phenotypes are quantitative or qualitative traits other than the case-control status. Because the case-control sample is not a random sample of the general population, standard statistical analysis of secondary phenotype data can yield very misleading results. SPREG implements valid and efficient statistical methods. (entry from Genetic Analysis Software)

Proper citation: SPREG (RRID:SCR_013261) Copy   

•   Source: SciCrunch Registry

http://biomath.med.uth.gr

Software application for performing genome scan meta-analysis, a quantitative method to identify genetic regions (bins) with consistently increased linkage score across multiple genome scans, and for testing the heterogeneity of the results of each bin across scans. The program provides as an output the average of ranks and three heterogeneity statistics, as well as corresponding significance levels. (entry from Genetic Analysis Software)

Proper citation: HEGESMA (RRID:SCR_013304) Copy   

•   Source: SciCrunch Registry

http://www.pypop.org/

Open-source software pipeline for population genomics. Designed for processing genotype and allele data and running population genetic analyses, including conformity to Hardy-Weinberg expectations; tests for balancing or directional selection; estimates of haplotype frequencies and measures and tests of significance for linkage disequilibrium.

Proper citation: PyPop (RRID:SCR_013425) Copy   

•   Source: SciCrunch Registry

http://www.multifactordimensionalityreduction.org/

Software application that is a data mining strategy for detecting and characterizing nonlinear interactions among discrete attributes (e.g. SNPs, smoking, gender, etc.) that are predictive of a discrete outcome (e.g. case-control status). The MDR software combines attribute selection, attribute construction and classification with cross-validation to provide a powerful approach to modeling interactions. (entry from Genetic Analysis Software)

Proper citation: MDR (RRID:SCR_013427) Copy   

•   Source: SciCrunch Registry