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http://www.fruitfly.org

Database on the sequence of the euchromatic genome of Drosophila melanogaster In addition to genomic sequencing, the BDGP is 1) producing gene disruptions using P element-mediated mutagenesis on a scale unprecedented in metazoans; 2) characterizing the sequence and expression of cDNAs; and 3) developing informatics tools that support the experimental process, identify features of DNA sequence, and allow us to present up-to-date information about the annotated sequence to the research community. Resources * Universal Proteomics Resource: Search for clones for expression and tissue culture * Materials: Request genomic or cDNA clones, library filters or fly stocks * Download Sequence data sets and annotations in fasta or xml format by http or ftp * Publications: Browse or download BDGP papers * Methods: BDGP laboratory protocols and vector maps * Analysis Tools: Search sequences for CRMs, promoters, splice sites, and gene predictions * Apollo: Genome annotation viewer and editor September 15, 2009 Illumina RNA-Seq data from 30 developmental time points of D. melanogaster has been submitted to the Short Read Archive at NCBI as part of the modENCODE project. The data set currently contains 2.2 billion single-end and paired reads and over 201 billion base pairs.

Proper citation: Berkeley Drosophila Genome Project (RRID:SCR_013094) Copy   

•   Source: SciCrunch Registry
  

http://sites.duke.edu/dhhr/

A biomaterial supply resource which collects and disseminates human heart tissue. Samples include both failing and non-failing hearts, RNA/DNA analysis, tissue staining and immunofluorescence samples.The tissue that has been flash frozen and stored at -80˚C is acquired from distinct regions of the heart such as the LV free wall, septum, and valve leaflets. Individual sample sizes are typically 100-300mg for flash frozen tissues. The DHHR also serves as a resource for assay development, target identification, and sponsored research, capable of isolating cardiomyocytes from hearts and using them for in-vitro assays such as calcium handling, enzyme activity, signalling pathways and other biochemical research activities

Proper citation: Duke Human Heart Repository (RRID:SCR_013980) Copy   

•   Source: SciCrunch Registry
  

http://brainhealthregistry.org/

A website aimed at recruiting and assessing subjects for all types of neuroscience studies with the internet. The hope is to accelerate various types of observational studies and clinical trials, and also reduce costs. They are interested in having people, including healthy subjects of all ages, join the registry. Joining only takes a few minutes. The web-based project is designed to speed up cures for Alzheimer's, Parkinson's and other brain disorders. It uses online questionnaires and online neuropsychological tests (which are very much like online brain games).

Proper citation: Brain Health Registry (RRID:SCR_010230) Copy   

•   Source: SciCrunch Registry
  

http://www.dexy.it

A multi-purpose project automation tool written in Python which helps create technical documents. Dexy is a free-form literate documentation tool for writing any kind of technical document incorporating code. It provides a consistent interface to tools and scripts and keeps track of what to run, in which order, and with what parameters.

Proper citation: Dexy (RRID:SCR_013982) Copy   

•   Source: SciCrunch Registry
  

http://www.pgbovine.net/cde.html

A software application which automatically packages up the code, data, and environment required to deploy and run Linux programs on other machines without any installation or configuration. Users can prepend any set of Linux commands with the "cde" binary, and CDE will run them and automatically package up all files accessed during execution. A package is a directory that can be compressed and delivered to any x86-Linux machine and contains all the files and environment variables required to run the original commands. After receiving the package, the user can run those same commands from within the package on any modern x86-Linux distro., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CDE Tool (RRID:SCR_013981) Copy   

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http://nemo.nic.uoregon.edu/wiki/NEMO_Analysis_Toolkit

THIS RESOURCE IS NO LONGER IN SERVICE. NIH tombstone webpage lists Project Period : 2009 - 2013. The NEMO ERP Analysis Toolkit includes tools for EEG/ERP and MEG data decomposition, and ontology-based mark-up, annotation, and labeling of patterns in EEG and MEG data. These tools have been implemented in MATLAB by Robert Frank, a mathematician and data analyst for NEMO. The current NEMO analysis pipeline has been designed with the aim to support cross-lab, cross-experiment meta-analysis of EEG and MEG data. The current proposed processing pipeline consists of the following steps: * Step 1: Decomposing ERP data (continuous data are transformed into discrete patterns for analysis) o PCA/ ICA/Microstate * Step 2: Marking up the analysis results o Each pattern is annotated with labels that relate pattern attributes to NEMO ontology concepts * Step 3: Clustering the observed patterns within and across experimental groups * Step 4: Labeling the cross-experiment clusters Each item in the above list is a step/phase in the processing pipeline and is associated with a set of matlab scripts in our NEMO ERP Analysis Toolkit, which is implemented by a collection of MATLAB scripts.

Proper citation: NEMO Analysis Toolkit (RRID:SCR_013624) Copy   

•   Source: SciCrunch Registry
  

https://www.cellosaurus.org/

Database of all cell lines used in biomedical research which include immortalized cell lines, naturally immortal cell lines (stem cells), widely used and distributed finite life cell lines, vertebrate cell lines (majority being human, mouse, and rat), and invertebrate (insects and ticks) cell lines, as well as cell line synonyms. Each cell line is provided with the following information: the recommended name (the name which appears in the original publication), a list of synonyms, a unique accession number, comments on a number of topics including misspellings and gene transfection, information on the tissue/organ origin with the UBERON code, the NCI Thesaurus or Orphanet ORDO code for the disease(s) the individual suffered from (for cancer and human genetic disease lines only), the species of origin, the parent cell line, cross-references of sister cell lines, the sex of the individual, the category in which the cell line belongs (Adult stem cell; Cancer cell line; Embryonic stem cell; Factor-dependent cell line; Finite cell line; Hybrid cell line; Hybridoma; Induced pluripotent stem cell; Spontaneously immortalized cell line; Stromal cell line; Telomerase immortalized cell line; Transformed cell line; Undefined cell line type), web links, publication references, and/or cross-references to cell line catalogs/collections, ontologies, cell lines databases/resources, and to databases that list cell lines as samples.

Proper citation: Cellosaurus (RRID:SCR_013869) Copy   

•   Source: SciCrunch Registry
  

https://CRAN.R-project.org/package=cluster

Software R package. Methods for Cluster analysis. Performs variety of types of cluster analysis and other types of processing on large microarray datasets.

Proper citation: Cluster (RRID:SCR_013505) Copy   

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http://www.kitware.com

A software repository which provides open source software and technology for visualization, computer vision, medical imaging, data publishing, and quality software process solutions. Kitware also provides services such as creating customized applications for clients, porting their open-source tools to specialized computing platforms, and supporting their open-source software tools with documentation, professional consulting services, and software training.

Proper citation: Kitware (RRID:SCR_013989) Copy   

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

Structure from motion algorithms repository. Common interface for various sfm algorithms.

Proper citation: SFMProject (RRID:SCR_014166) Copy   

•   Source: SciCrunch Registry
  

http://mloss.org/software/

A software repository which provides open source software for machine learning. Software entries include information such as author, license, data format, and programming language. The ultimate goal of mloss.org is to create a comprehensive open source machine learning environment where open source machine learning software can compete with comercial closed source solutions.

Proper citation: machine learning open source software (RRID:SCR_013990) Copy   

•   Source: SciCrunch Registry
  

http://mvz.berkeley.edu/Collections.html

A collection of over 640,000 specimens of amphibians, reptiles, birds, bird eggs or nests, and mammals, as well as over 50,000 tissue samples from these vertebrate groups. These research collections are ranked as one of the largest in the United States, and the largest of any university museum. In addition, the Museum has numerous special collections that include archived field notes and photographs, historical annotated maps and correspondence, avian sound recordings, chromosome and histology preparations, Milton Hildebrand anatomical and film collections, artwork related to terrestrial vertebrate natural history, and a library of books, reprints, and journals for curation and research activities. Specimen data are accessible online, and the Museum is working to improve data access to the other collections. Museum Collections * Mammal Collection * Herpetological Collection * Bird Collection * Egg & Nest Collection * Tissue Collection * Fieldnotes, Photos, & Map Collection * Other Collections The Museum of Vertebrate Zoology (MVZ) welcomes donations of amphibians, reptiles, birds, bird eggs and nests, mammals and related materials. Acceptance of a donation is at the discretion of MVZ Curators. * Specimens -- May include preserved specimens and/or parts (e.g., tissue samples) as well as unpreserved material (e.g., frozen carcasses, live animals) that will be prepared by Museum Curators, curatorial staff, or students. * Related Materials -- Donations of images (digital or printed photographs or slides), sound recordings, field notes, and other natural history archival material. Materials must be connected to specimens or research projects. Donated material and associated data will be made available for research, education, or public exhibit according to the mission and policies of the Museum and Regents, except by prior signed agreement between the donor and the Museum.

Proper citation: MVZ Collections (RRID:SCR_010608) 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://mayoresearch.mayo.edu/mayo/research/biobank/index.cfm

A collection of blood samples and health information donated by volunteers, not focusing on any specific disease. Unlike many biobanks already in existence at Mayo Clinic and elsewhere, the Mayo Clinic Biobank is NOT focused on any particular disease. Rather, this biobank will collect samples and health information on patients and volunteers regardless of their health history. The only requirement is that they be 18 years of age or older, have a Mayo Clinic number, and be able to give informed consent. Once a participant becomes a part of the Biobank, they will be a part of ongoing health research conducted at Mayo Clinic indefinitely. The Biobank was established at Mayo Clinic, Rochester, and recruitment began in April of 2009. The goal of this project is to enroll 20,000 Mayo Clinic patients over the course of a three-year period in an effort to support a wide array of health-related research studies throughout the Institution.

Proper citation: Mayo Clinic Biobank (RRID:SCR_010723) 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   

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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://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.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.paradigmexperiments.com

Software application for millisecond accurate experimental control for cognitive neuroscience, psychology and linguistics research. Presents text, images, sounds, movies, self-paced reading trials and rating scales. An integrated Python scripting API is available. Joystick and microphone response are available. Supports button boxes from PST, Cedrus, fORP and custom built response boxes. Paradigm can detect fMRI triggers through serial and parallel ports. Includes sample experiments that implement many of the most popular experiment designs., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Paradigm (RRID:SCR_009634) Copy   

•   Source: SciCrunch Registry