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http://compbio.cs.wayne.edu/software/squeezambler/

Software to sequence and de novo assemble all distinct genomes present in a microbial sample with a sequencing cost and computational complexity proportional to the number of genome types, rather than the number of cells.

Proper citation: Squeezambler (RRID:SCR_004385) Copy   

•   Source: SciCrunch Registry

http://www.hhmi.org/biointeractive/

Collection of biology-focused teaching materials created and administered by the Howard Hughes Medical Institute including free lectures, videos and animations for science education. Many of the resources are also available on DVD and CD-ROM. In addition to the resources on the website, BioInteractive offers DVDs of HHMI''s annual Holiday Lectures on Science and CD-ROMs of the Virtual Lab series. These materials are available to educators for free and can be ordered from the catalog at http://catalog.hhmi.org. Each Holiday Lectures on Science is a set of four one-hour lectures presented each December at the headquarters of the Howard Hughes Medical Institute in Chevy Chase, Maryland . The lectures give students and teachers the opportunity to learn about cutting-edge biomedical research directly from some of the world''s leading scientists. Intended to inspire young students to pursue careers in science, the lectures bring the latest developments in a rapidly moving field of research into the classroom. The lectures are primarily geared to high school students in honors and Advanced Placement biology classes. Other high school students and undergraduates can certainly benefit from the content of the lectures. Some of the related materials on the biointeractive website (http://www.biointeractive.org/) are aimed at a broader audience. With a teacher''s guidance, middle school students can also enjoy learning about the topic. Holiday Lectures are webcast live at http://www.hhmi.org/biointeractive/hl/. Following the live event, they are available as on-demand streaming video at the same Web address. Webcasts of all past Holiday Lectures are available as on-demand streaming video at http://www.hhmi.org/biointeractive/lectures/index.html. Holiday Lectures are also available as podcasts from http://www.hhmi.org/biointeractive/podcast_popup.html

Proper citation: Biointeractive (RRID:SCR_004388) Copy   

•   Source: SciCrunch Registry

http://www.childhoodbraintumor.org/

The Childhood Brain Tumor Foundation (CBTF), an all-volunteer organization, was founded in 1994 by families, friends and physicians of children with brain tumors. Our mission is to raise funds for scientific research and heighten public awareness of this most devastating disease and to improve prognosis and quality of life for those that are affected. Founded and incorporated in Virginia, relocated to Maryland in 1998, the Foundation (a 501(c) (3), strives to meet the goals of our mission. Friends, families, and physicians brought CBTF together and are dedicated to serving the needs of families and children with brain tumors, in hopes of improving the quality of life and find cures for pediatric brain tumors. Annually, CBTF funds basic science or clinical research for pediatric brain tumors; conferences and other programs. We provide informational materials on our website and mail other information (nationally and internationally) upon request. The Childhood Brain Tumor Foundation (CBTF) has funded state-of-the-art research and supported conferences for pediatric brain tumors over the past 17 years. Grants submissions are reviewed thoroughly by our dedicated renown team of scientific advisors to ensure that CBTF selects the highest quality research for pediatric brain tumors. Each year, we receive so many outstanding applications and it is through the support of private and public donations that this is all possible. With your support, together, we will strive to find a cure for children''s brain tumors.

Proper citation: Childhood Brain Tumor Foundation (RRID:SCR_004421) Copy   

•   Source: SciCrunch Registry

https://www.tgen.org/research/research-divisions/neurogenomics/supplementary-data/sniper-hd-improved-genotype-calling-accuracy.aspx#.UjmeKb5OKM8

Improved genotype calling accuracy by an expectation-maximization algorithm for high-density SNP arrays.

Proper citation: SNiPer-HD (RRID:SCR_004383) Copy   

•   Source: SciCrunch Registry

http://stemcellcommons.org/

Open source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development.

Proper citation: Stem Cell Commons (RRID:SCR_004415) Copy   

•   Source: SciCrunch Registry

http://www.digimorph.org/

A dynamic archive of information on digital morphology and high-resolution X-ray computed tomography of biological specimens serving imagery for more than 750 specimens contributed by almost 150 collaborating researchers from the world''s premiere natural history museums and universities. Browse through the site and see spectacular imagery and animations and details on the morphology of many representatives of the Earth''s biota. Digital Morphology, part of the National Science Foundation Digital Libraries Initiative, develops and serves unique 2D and 3D visualizations of the internal and external structure of living and extinct vertebrates, and a growing number of ''invertebrates.'' The Digital Morphology library contains nearly a terabyte of imagery of natural history specimens that are important to education and central to ongoing cutting-edge research efforts. Digital Morphology visualizations are now in use in classrooms and research labs around the world and can be seen in a growing number of museum exhibition halls. The Digital Morphology site currently presents: * QuickTime animations of complete stacks of serial CT sections * Animated 3D volumetric movies of complete specimens * Stereolithography (STL) files of 3D objects that can be viewed interactively and rapidly prototyped into scalable physical 3D objects that can be handled and studied as if they were the original specimens * Informative introductions to the scanned organisms, often written by world authorities * Pertinent bibliographic information on each specimen * Useful links * A course resource for our ''Digital Methods for Paleontology'' course, in which students learn how to generate all of the types of imagery displayed on the Digital Morphology site

Proper citation: DigiMorph (RRID:SCR_004416) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/pgc/

Consortium conducting meta-analyses of genome-wide genetic data for psychiatric disease. Focused on autism, attention-deficit hyperactivity disorder, bipolar disorder, major depressive disorder, schizophrenia, anorexia nervosa (AN), Tourette syndrome (TS), and obsessive-compulsive disorder (OCD). Used to investigate common single nucleotide polymorphisms (SNPs) genotyped on commercial arrays, structural variation (copy number variation) and uncommon or rare genetic variation. To participate you are asked to upload data from your study to central computer used by this consortium. Genetic Cluster Computer serves as data warehouse and analytical platform for this study . When data from your study have been incorporated, account will be provided on central server and access to all GWAS genotypes, phenotypes, and meta-analytic results relevant to deposited data and participation aims. NHGRI GWAS Catalog contains updated information about all GWAS in biomedicine, and is usually excellent starting point to find comprehensive list of studies. Files can be obtained by any PGC member for any disease to which they contributed data. These files can also be obtained by application to NIMH Genetics Repository. Individual-level genotype and phenotype data requires application, material transfer agreement, and informed consent consideration. Some datasets are also in controlled-access dbGaP and Wellcome Trust Case-Control Consortium repositories. PGC members can also receive back cleaned and imputed data and results for samples they contributed to PGC analyses.

Proper citation: Psychiatric Genomics Consortium (RRID:SCR_004495) Copy   

•   Source: SciCrunch Registry

http://www.fishbase.org/home.htm

A global species database and encyclopedia of over 32,800 species and subspecies of fishes that is searchable by common name, genus, species, geography, family, ecosystem, references literature, tools, etc. It links to other, related databases such as the Catalog of Fishes, GenBack, and LarvalBase. It is associated with a partner journal, Acta Ichthyologica et Piscatoria. It is available in English, Greek, Spanish, Portuguese, French, Dutch, Italian, and German. Photo and video submissions are welcome. FishBase 2004 is also available on DVD or CD-ROMs with full information on 28,500 species. It comes together with the FishBase 2000 book and can be ordered for 95 US$ including air-mail.

Proper citation: FishBase (RRID:SCR_004376) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/vanator-cvr/

A Perl pipeline utilising a large variety of common alignment, assembly and analysis tools to assess the metagenomic profiles of Illumina deep sequencing samples. The emphasis is on the discovery of novel viruses in clinical and environmental samples.

Proper citation: Vanator (RRID:SCR_004370) Copy   

•   Source: SciCrunch Registry

http://www.brainsciencepodcast.com/

Podcast, hosted by Dr. Ginger Campbell, featuring the latest books about neuroscience as well as interviews with leading scientists from around the world. In this podcast, she shares recent discoveries from the world of neuroscience in a way that people of all backgrounds can enjoy. Dr. Campbell is an experienced emergency physician with a long-standing interest in mind-body medicine, the brain, and consciousness. She believes that understanding how the brain works gives us insight into what makes us human. She is also committed to showing how the scientific method has unraveled many long-standing mysteries. Brain Science Transcripts are also available.

Proper citation: Brain Science Podcast (RRID:SCR_004491) Copy   

•   Source: SciCrunch Registry

http://www.csd.uwo.ca/~ilie/BOND/

Software program to compute highly specific DNA oligonucleotides, for all the genes that admit unique probes, while running orders of magnitude faster than the existing programs.

Proper citation: Basic OligoNucleotide Design (RRID:SCR_004492) Copy   

•   Source: SciCrunch Registry

http://www.uniprot.org/locations/

The subcellular locations in which a protein is found are described in UniProtKB entries with a controlled vocabulary, which includes also membrane topology and orientation terms. You may search in subcellular locations or list them all along with their definitions (490). By default, searching the subcellular locations will look for matches in both name and definition.

Proper citation: UniProtKB Subcellular Locations (RRID:SCR_004373) Copy   

•   Source: SciCrunch Registry

https://wiki-bsse.ethz.ch/display/HSC/HelioScan+Home

HelioScan is a versatile control software for microscopes written in the intuitive graphical programming language LabVIEW. It solves a number of problems observed with custom-built image acquisition systems by providing the following features: * Extendability: both hardware components and software functionality are encapsulated in exchangeable, software components. Additional components can be implemented easily and plugged in at run-time. Components can be independently developed, allowing multiple developers to work in parallel. * Flexibility: Components are independently configurable; each component can have an unlimited number of configurations. * Understandability: The LabVIEW code is well-structured, commented and documented. * High speed: The software supports FPGA-based hardware that enables intelligent and extremely fast signal acquisition and generation. FPGA logic can be easily programmed using LabVIEW. * Tailored to in vivo brain imaging: The software is especially suited for 2-photon Calcium imaging, but can in principle be used for any kind of microscopy. The out-of-the-box software supports different imaging modalities (camera, galvanometric scan mirrors, acusto-optic deflectors) and imaging modes (camera video acquisition, intrinsic optical imaging, two-photon frame scan and tilted frame scan, 2D line scan, 3D spiral scan) and can easily be extended to other imaging modalities (e.g., resonance scanners), imaging modes (e.g., 2D and 3D arbitrary line scans) and associated hardware (e.g., stimulation devices). * Open file-format with extensible meta-data schema: HelioScan saves data in the OME-TIFF file format, which contains image data as multipage TIFF and meta-data as human-readable XML in the TIFF description tag according to the OME schema.

Proper citation: HelioScan (RRID:SCR_004494) Copy   

•   Source: SciCrunch Registry

http://research.calacademy.org/redirect?url=http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. The Catalog of Fishes is the authoritative reference for taxonomic fish names, featuring a searchable on-line database. The Catalog of Fishes covers more than 53,000 species and subspecies, over 10,000 genera and subgenera, and includes in excess of 16,000 bibliographic references. The Catalog of Fishes consists of three hardbound volumes of 900-1000 pages each, along with a CD-ROM. The online database is updated about every 8 weeks and is now about twice the size of the published version. It is one of the oldest and most complete databases for any large animal group. References are over 30,000. Valid species are over 30,000. This work is an essential reference for taxonomists, scientific historians, and for any specialist dealing with fishes. Entries for species, for example, consist of species/subspecies name, genus, author, date, publication, pages, figures, type locality, location of type specimen(s), current status (with references), family/subfamily, and important publication, taxonomic, or nomenclatural notes. Nearly all original descriptions have been examined, and much effort has gone into determining the location of type specimens. The Genera are updated from Eschmeyer''s 1990 Genera of Recent Fishes. Both genera and species are listed in a classification using recent taxonomic schemes. Also included are a lengthy list of museum acronyms, an interpretation of the International Code of Zoological Nomenclature, and Opinions of the International Commission involving fishes.

Proper citation: Catalog of Fishes (RRID:SCR_004408) Copy   

•   Source: SciCrunch Registry

http://www.nida.nih.gov/CTN/

A collaboration in which the National Institute on Drug Abuse, treatment researchers, and community-based service providers cooperatively develop, validate, refine, and deliver new treatment options to patients in Community Treatment Programs (CTPs). The partnership between CTPs and academic research leaders aims to achieve the following objectives: * Conducting studies of behavioral, pharmacological, and integrated behavioral and pharmacological treatment interventions of therapeutic effect in rigorous, multisite clinical trials to determine effectiveness across a broad range of community-based treatment settings and diversified patient populations; and * Ensuring the transfer of research results to physicians, clinicians, providers, and patients. The CTN, with its core of CTPs engaging diverse populations, is also designed to provide a platform for other studies, which would be funded under separate research grants. Three important ways to use the CTN are: to conduct ancillary studies in connection with CTN protocols; to utilize CTN Node facilities as a platform for investigations; and for Nodes to serve as home bases for NIH Training Centers and individual researchers who have NIH fellowships or career development awards.

Proper citation: National Drug Abuse Treatment Clinical Trials Network (RRID:SCR_004407) Copy   

•   Source: SciCrunch Registry

https://www.hupo.org/human-antibody-initiative/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19, 2022.The mission of the Human Antibody Initiative (HAI) aims to promote and facilitate the use of antibodies for proteomics research. The initiative consists of two separate activities; (1) the generation of a catalogue of validated antibodies from many different sources and (2) a protein atlas for the expression and localization of human proteins in normal and disease tissue. The two separate activities have as their primary deliverables to generate databases with free public accessibility. The Antibody Resource database (www.antibodypedia.org) is aimed to produce a comprehensive catalogue of validated antibodies towards human proteins. This initiative depends on input from a large number of academic groups and commercial companies. The Protein Atlas initiative (www.proteinatlas.org) is aimed to provide comprehensive and annotated database of high-resolution images showing tissue profiles in normal and cancer tissues. Both databases will be open to the public without restriction (no passwords).

Proper citation: HUPO Antibody Initiative (RRID:SCR_004568) Copy   

•   Source: SciCrunch Registry

http://www.brighterideasinc.com/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 17,2021. An Antibody supplier

Proper citation: Brighter Ideas Inc. (RRID:SCR_004689) Copy   

•   Source: SciCrunch Registry

http://www-pmr.ch.cam.ac.uk/wiki/Oscar3

OSCAR is software for the semantic annotation of chemistry papers. The modules OPSIN (a name to structure converter) and ChemTok (a tokeniser for chemical text) are also available as standalone libraries. This tool for shallow, chemistry-specific parsing of chemical documents identifies (or attempts to identify): * Chemical names: singular nouns, plurals, verbs etc., also formulae and acronyms, some enzymes and reaction names. * Ontology terms: if you can do it by string-matching, you can get OSCAR to do it. * Chemical data: Spectra, melting/boiling point, yield etc. in experimental sections. In addition, where possible the chemical names that are detected are annotated with structures, either via lookup or name-to-structure parsing (OPSIN), and with identifiers from the chemical ontology ChEBI Current work on OSCAR3 by Peter Corbett focuses on its use in SciBorg, a framework for the deep parsing of chemical text. OSCAR3 also includes the Oscar Server, a Jetty-powered set of servlets. These provide the following services: * Parsing of text/HTML by OSCAR. * Text/InChI/SMILES/SMILES substructues/SMILES similarity search of papers, coupled with keyword and ontology-based search, using Lucene and the CDK. * List of all names found / all names that co-occur with a search term or terms. * Online management of a chemical/stopword lexicon. * Manual editing of SciXML fragments containing named entities, for creating of gold standards and training data. Oscar3 can be found on SourceForge: http://sourceforge.net/projects/oscar3-chem/

Proper citation: Oscar3 (RRID:SCR_004561) Copy   

•   Source: SciCrunch Registry

http://www.brainarchitecture.org/mouse-home

An atlas project whose goal is to enerate brainwide maps of inter-regional neural connectivity that specify the inputs and outputs of every brain region, at a "mesoscopic" level of analysis. A 3D injection viewer is used to view the mouse brain. To determine the outputs of a brain region, anterograde tracers are used which are taken up by neurons locally ("the input"), then transported actively down the axons to the "output regions." The whole brain is then sliced thinly, and each slice is digitally imaged. These 2-D images are reconstructed in 3D. The majority of the resulting 3-D brain image is unlabeled. Only the injected region and its output regions have tracer in them, allowing for identification of this small fraction of the connectivity map. This procedure is repeated identically, to account for individual variability. To determine the inputs to the same brain region as above, a retrograde tracer is injected in the same stereotaxic location ("the input"), and the process is repeated. In order to accumulate data from different mice (each of whom has a slightly different brain shape and size), 3-D spatial normalization is performed using registration algorithms. These gigapixel images of whole-brain sections can be zoomed to show individual neurons and their processes, providing a "virtual microscope." Each sampled brain is represented in about 500 images, each image showing an optical section through a 20 micron-thick slice of brain tissue. A multi-resolution viewer permits users to journey through each brain, following the pathways taken through three-dimensional brain space by tracer-labeled neuronal pathways. A key point is that at the mid-range "mesoscopic" scale, the team expects to assemble a picture of connections that are stereotypical and probably genetically determined in a species-specific manner. By dividing the volume of a hemisphere of the mouse brain into 250 equidistant, predefined grid-points, and administering four different kinds of tracer injections at each grid point -- in different animals of the same sex and age a complete wiring diagram that will be stitched together in "shotgun" fashion from the full dataset.

Proper citation: Mouse Brain Architecture Project (RRID:SCR_004683) Copy   

•   Source: SciCrunch Registry

http://en.wikibooks.org/wiki/Handbook_of_Genetic_Counseling

The Handbook of Genetic Counseling is a wikibook designed as an introduction to the discipline and practice of genetic counseling. The text provides an introduction to genetic counseling as a clinical practice and includes sample counseling outlines and letters for students of genetic counseling. Additional outline and letter examples are highly encouraged. Wikibooks contains books on many medical topics; however, no warranty whatsoever is made that any of the books are accurate.

Proper citation: Handbook of Genetic Counseling (RRID:SCR_004564) Copy   

•   Source: SciCrunch Registry