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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://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.lifelines.net/

Overall aim of the LifeLines Study is to unravel the interaction between genetic and environmental factors in the development of multifactorial diseases, their concurrent development in individuals and their complications as a complex trait. The LifeLines database contains questionnaire data, physical measurements and biological samples from different health examinations. Collaboration is encouraged as it helps to maximize the scientific value of the wealth of epidemiologic data made possible by the participation of more than 165,000 individuals in the LifeLines Cohort Study. Primary objectives of the LifeLines Cohort Study are: a. Which are the disease overriding risk factors which predict the development of a multifactorial disease during lifetime? b. How are these universal risk factors modified, or what determines the effect of a universal risk factor in an individual? Specific research questions will focus on risk factors and modifiers (genetic, environmental and combined or complex factors) for single and multiple diseases. In addition to co-morbidity, LifeLines focuses on co-determinants. The primary endpoints include measures of aging, metabolic and endocrine diseases, cardiovascular and renal diseases, pulmonary and musculoskeletal diseases, and psychopathology. Secondary aims include the assessment of the prevalence and incidence of multifactorial diseases, their risk factors and their treatment in individuals as well as in families. The burden of disease for the society will be quantified in terms of care needed, and total costs of care. Until November 3, 2011, almost 68,000 subjects have been included in the study. The 60,000th participant was screened in the beginning of September 2011. Recruitment rate at present is between 700 and 800 subjects per week. The laboratory measurements which are performed has changed. As of October 2011, LifeLines will continue to measure: hematologic parameters, including hemoglobin, white blood cells, platelets, WBC differentiation, blood glucose, cholesterol, HDL-cholesterol, triglycerides, serum creatinin and sodium/potassium. Liver enzymes, thyroid hormones, calcium, phosphate, albumin, uric acid and microalbuminuria will not be measured routinely. The samples that are available for almost all participants, are: # serum (taken either with or without gel separator) # EDTA plasma # citrate plasma # DNA # early morning urine sample # urine samples of 24-hour urine collection Any researcher who is member of an internationally recognized academic institution and who is interested in utilizing the research possibilities, data and materials of LifeLines may apply for access. The applicant who is acting as Principal Investigator must be connected to a department or institution with the competence to carry out the research project to term. A contract will give the right to use the data for a pre-determined period of time. This contract also comprises the costs for the LifeLines Biobank which the investigator needs to reimburse. To apply for access, refer to the electronic application process.

Proper citation: Lifelines Biobank (RRID:SCR_010730) 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

https://www.urmc.rochester.edu/microbiology-immunology/xenopus-laevis.aspx

A comprehensive resource specializing in the use of the amphibian Xenopus laevis (the African clawed frog) for biomedical and immunological research. Several genetically-defined inbred strains and clones are available for study. The facility also maintains and develops research tools such as transgenic animals, monoclonal antibodies, cell lines, DNA libraries, and molecular probes. XLRR includes a satellite facility devoted to study infectious diseases caused by iridovirus. Technical assistance, education, and training are also provided.

Proper citation: Xenopus laevis Research Resource for Immunobiology (XLRR) (RRID:SCR_014354) Copy   

•   Source: SciCrunch Registry

https://www.med.upenn.edu/gtp/vectorcore/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1, 2023. A full service viral vector core facility located at the University of Pennsylvania. This facility provides technological resources for investigators in their use of viral based vectors for gene transfer. The main objective of this core is to provide investigators with state-of-the-art vector technology for preclinical studies and other basic research applications, that will then increase understanding of gene function and the further development of therapeutic vectors.

Proper citation: Vector Core (RRID:SCR_014475) Copy   

•   Source: SciCrunch Registry

http://spina.sourceforge.net

Software tool to deliver estimated structure parameters of endocrine feedback control systems in vivo from serum or plasma hormone levels. Used for evaluation of thyroid function. Allows for calculating thyroid maximum secretory capacity (GT or SPINA-GT) and sum activity of peripheral 5'-deiodinases (GD or SPINA-GD) from levels of TSH, (F)T4 and (F)T3 that have been determined once only (SPINA Thyr). Binaries are available for Mac OS, Mac OS X, Palm OS, Garnet OS and Windows. For other operating systems, including Linux, Solaris and BSD, SPINA Thyr is available as sourcecode. Building from source requires THINK Pascal (for Mac OS Classic), winsoft PocketStudio (for Palm OS / Garnet OS) or Lazarus/Free Pascal (for Mac OS X, Windows, Linux, BSD and Solaris). Special version of calculation engine is available for modern S implementation, e.g. R.

Proper citation: SPINA Thyr (RRID:SCR_014352) Copy   

•   Source: SciCrunch Registry

https://getbootstrap.com/docs/3.3/

Programming language framework for HTML, CSS, and JS. It is used for developing responsive, mobile projects on the web.

Proper citation: Bootstrap CSS (RRID:SCR_016096) Copy   

•   Source: SciCrunch Registry

http://www.uchicagoddrcc.org/research-cores/tissue-engineering-and-cell-models-core

Core that provides services such as a repository for intestinal cell lines, Tissue Engineering Models, experimental materials, and supplies for digestive disease research.

Proper citation: University of Chicago Digestive Diseases Research Core Center Tissue Engineering and Cell Models Core (RRID:SCR_015604) Copy   

•   Source: SciCrunch Registry

https://zenodo.org/record/17651

Software for interfacing with Tucker-Davis System 3 hardware. It is a Python wrapper around Tucker-Davis Technologies ActiveX library. Along with standard operations, the software can conduct type conversions between analog and digital units, handle robust errors, and has a remote procedure call server that allows multiple processes and/or programs to communicate with the hardware across the same connection.

Proper citation: TDTPy (RRID:SCR_014520) Copy   

•   Source: SciCrunch Registry

http://www.tcd.ie/IMM/trinity-biobank/index.php

The Trinity Biobank was established in 2005 to serve the needs of researchers in the area of genetic epidemiology, population genetics and pharmacogenomics. Its services are available to researchers not only in Trinity College but to other institutions at home and abroad. We provide an automated DNA extraction service purifying large volumes blood (up to 10mL whole blood) and tissue DNA for archival and other purposes. In addition it makes available purified DNA and associated GWAS data from 2000 healthy donors for research use. A key requirement for reliable downstream use of DNA is purity and strand size. The quality of DNA in blood and tissue deteriorates upon storage without purification even at -80 degrees C. We ensure rapid turnaround of biological samples through automated extraction using the Qiagen Autopure system based on optimized ''salting out'' chemistry. The purified DNA sample may then be stored safely at -20 degrees C without deterioration thus freeing up valuable -80 degree C freezer space and the associated capital and maintenance cost as well as security and lab space provision. Automated DNA extraction is particularly suitable for high-throughput sample processing called for in epidemiological studies or simply for clearing sample inventory backlogs. The Trinity Biobank distributes control DNA to researchers as part of its remit to enhance the level of research activity and to synergize molecular medicine research nationally and internationally. The buffy coat collection has been made possible with the cooperation of the Irish Blood Transfusion Service (IBTS). An important requirement to access the collection is that the use of the samples relates only to ethically-approved research and to specifically-nominated research projects. The DNA collection consists of high quality human genomic DNA. Each of the available 2,000 samples is from a single individual and each sample comes with the age and gender data of the donor. The buffy coat sample is derived from the total white cell compliment (50mL buffy coat) of a blood donation (c 400mL). We will endeavor to fulfill samples number requests based on age and gender as best as possible. This collection has also been genotyped using the Affymetrix Genome-Wide Human SNP Array 6.0, featuring 1.8 million genetic markers, including more than 906,600 single nucleotide polymorphisms (SNPs) and more than 946,000 probes for the detection of copy number variation (CNV). The DNA comes available as a 100ng/uL in 100uL of TE Buffer, ie in 10ug amounts in a separate screw-cap ampoule. The ampoules are shipped in 100-tube boxes (Sarstedt). Corresponding plasma (ACD) is also available on request. Genotype data is supplied in PLINK binary PED files format (http://pngu.mgh.harvard.edu/~purcell/plink/ ).

Proper citation: Trinity Biobank (RRID:SCR_013279) Copy   

•   Source: SciCrunch Registry

http://www.cristudy.org/Chronic-Kidney-Disease/Chronic-Renal-Insufficiency-Cohort-Study/

A prospective observational national cohort study poised to make fundamental insights into the epidemiology, management, and outcomes of chronic kidney disease (CKD) in adults with intended long-term follow up. The major goals of the CRIC Study are to answer two important questions: * Why does kidney disease get worse in some people, but not in others? * Why do persons with kidney disease commonly experience heart disease and stroke? The CRIC Scientific and Data Coordinating Center at Penn receives data and provides ongoing support for a number of Ancillary Studies approved by the CRIC Cohort utilizing both data collected about CRIC study participants as well as their biological samples. The CRIC Study has enrolled over 3900 men and women with CKD from 13 recruitment sites throughout the country. Following this group of individuals over the past 10 years has contributed to the knowledge of kidney disease, its treatment, and preventing its complications. The NIDDKwill be extending the study for an additional 5 years, through 2018. An extensive set of study data is collected from CRIC Study participants. With varying frequency, data are collected in the domains of medical history, physical measures, psychometrics and behaviors, biomarkers, genomics/metabolomics, as well as renal, cardiovascular and other outcomes. Measurements include creatinine clearance and iothalamate measured glomerular filtration rate. Cardiovascular measures include blood pressure, ECG, ABI, ECHO, and EBCT. Clinical CV outcomes include MI, ischemic heart disease-related death, acute coronary syndromes, congestive heart failure, cerebrovascular disease, peripheral vascular disease, and composite outcomes. The CRIC Study has delivered in excess of 150,000 bio-samples and a dataset characterizing all 3939 CRIC participants at the time of study entry to the NIDDKnational repository. The CRIC Study will also be delivering a dataset to NCBI''''s Database for Genotypes and Phenotypes.

Proper citation: Chronic Renal Insufficiency Cohort Study (RRID:SCR_009016) Copy   

•   Source: SciCrunch Registry

http://genomespace.org

Interoperability framework which supports integrative genomics analysis via access to various bioinformatics tools. Rather than performing analyses itself, GenomeSpace acts as a hub for data from supported bioinformatics tools and reformats data and results when necessary.

Proper citation: GenomeSpace (RRID:SCR_014967) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/snp.plotter/index.html

An R package that creates publishable-quality plots of p-values using single SNP and/or haplotype data. Main features of the package include options to display a linkage disequilibrium (LD) plot and the ability to plot multiple sets of results simultaneously. Plots can be created using global and/or individual haplotype p-values along with single SNP p-values. Images are created as either Portable Document Format (PDF) or Encapsulated (EPS) files. (entry from Genetic Analysis Software)

Proper citation: R/SNP.PLOTTER (RRID:SCR_009376) Copy   

•   Source: SciCrunch Registry

http://www.bonebank.com

Biotechnology company dedicated to enhancing quality of patient care through development and manufacture of safe, high quality allograft solutions for healthcare professionals.

Proper citation: Texas Human Biologics (RRID:SCR_010523) Copy   

•   Source: SciCrunch Registry

https://www.lifegene.se/In-english/

Swedish study to get a better understanding of how genes, environment and way of life affect health that will enable access to the longitudinal data on 500,000 participants after ethical approval. Half a million people in Sweden between the ages of 0 and 45 will be recruited as volunteers for 6 to 8 years. People between 18 and 45 will be invited and they may, in turn, bring children and other people that they live with into the project. Participants will be followed for many years with regular online surveys and health checks. Their blood and urine samples will also be stored in a biobank. All the data will form a very large information base, where researchers can follow what happens with people''''s health. The LifeGene test center will measure height, hip, waist and chest measurements. A so-called spirometry test will be conducted which measures lung function, a hearing test and bioimpedance measurement (includes weight, BMI and distribution of body fat and muscle mass). They also take blood and urine samples and measure blood pressure and pulse. LifeGene foresees a lot of different research cooperation. Everything from simple withdrawal of longitudinal data, leverage of LifeGene infrastructure and cooperation between LifeGene and complementing scientific projects covering specific areas in more depth. LifeGene will enable access to unique longitudinal data on 500,000 participants available for researchers after ethical approval. LifeGene is also an infrastructure with Test Centers covering most of Sweden, logistics for sample management from arm-to-freezer and state-of-the-art large scale automatic biobanking enabling low cost, high quality, fast withdrawal of biological samples.

Proper citation: LifeGene (RRID:SCR_010524) Copy   

•   Source: SciCrunch Registry

http://www.jcm.riken.go.jp/

The Microbe Division in RIKEN-BRC has been collecting, preserving, and distributing cultured microbial strains as one of the leading culture collections in the world since established as Japan Collection of Microorganisms (JCM) in 1981. JCM aims to contribute to scientific communities by maintaining and serving high-quality microbial resources useful for general microbial studies and various research fields particularly in health and environmental science. JCM has participated in the National BioResource Project supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan as the core facility for General Microbes. JCM maintains approximately 19,900 strains as of Sept. 2010, and the approximate numbers of the available strains from JCM are: 7,400 strains of aerobic and anaerobic bacteria including actinomycetes, 300 strains of archaea, and 4,100 strains of fungi including yeasts (in total ca. 12,000 strains). Strains held at JCM are limited to those classified in Risk Group 1 or 2. Information of the available strains is opened to the public through the JCM On-line Catalogue Database. Genomic DNA samples of some strains are also distributed in cooperation with RIKEN BRC-DNA Bank. More than 3,500 strains are annually distributed to domestic and overseas researchers. JCM welcomes a deposit of microbial strains published or designed to be published in scientific papers as well as an order for microbial cultures.

Proper citation: JCM (RRID:SCR_010653) Copy   

•   Source: SciCrunch Registry

http://mayoresearch.mayo.edu/mayo/research/schaid_lab/software.cfm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software application to compute composite measures of linkage disequilibrium, their variances and covariances, and statistical tests, for all pairs of alleles from two loci when linkage phase is unkown. An extension of Weir and Cockerham (1989) to apply to multi-allelic loci. (entry from Genetic Analysis Software)

Proper citation: COMPOSITELD (RRID:SCR_013132) Copy   

•   Source: SciCrunch Registry

http://www.multichannelsystems.com/software/mc-datatool

An add-on tool used to export data retrieved with the MC_Rack program. This software is used to convert MC_Rack data files into other file formats.

Proper citation: MC DataTool (RRID:SCR_014580) Copy   

•   Source: SciCrunch Registry