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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://www.planetmicrobe.org/
Web based platform that enables data discovery from curated historical and on going oceanographic sequencing efforts. Enables discovery and integration of oceanographic ‘omics, environmental and physiochemical data layers. Used to centralize and standardize contextual data associated with major marine 'omic datasets. Used for marine microbiology to discover and analyze interconnected 'omics and environmental data.
Proper citation: Planet Microbe (RRID:SCR_024478) Copy
Business Services and Biotechnology Research company in Odense, Denmark.
Proper citation: Evosep (RRID:SCR_024590) Copy
https://jydu.github.io/maffilter/
Software tool for analysis of genome alignments. It parses and manipulates MAF files as well as more simple fasta files. Despite various filtering options and format conversion tools, MafFilter can compute a wide range of statistics including phylogenetic trees, nucleotide diversity, inferrence of selection, etc.
Proper citation: MafFilter (RRID:SCR_024105) Copy
Platform for researchers to economically create and manage digital health programs. Platform built for research management and digital interventions. Helps researchers collect data and engage participants.
Proper citation: Pattern Health Digital Research Platform (RRID:SCR_024468) Copy
https://www.waters.com/nextgen/us/en.html
Publicly traded analytical laboratory instrument and software company headquartered in Milford, Massachusetts. Leading provider of lab equipment, supplies and software. Has pioneered chromatography, mass spectrometry, and thermal analysis innovations.
Proper citation: Waters (RRID:SCR_024589) Copy
https://sparta.readthedocs.io/en/latest/
Software workflow aimed at analyzing single-end Illumina RNA-seq data. The software is supported on Windows, Mac OS X, and Linux platforms.
Proper citation: sparta (RRID:SCR_024349) Copy
http://maude.cs.illinois.edu/w/index.php/The_Maude_System
Software high performance reflective language and system supporting both equational and rewriting logic specification and programming for wide range of applications.Supports equational specification and programming, rewriting logic computation.
Proper citation: Maude (RRID:SCR_024108) Copy
https://github.com/Pas-Kapli/mptp
Software tool for single locus species delimitation. Implements fast method to compute the ML delimitation from inferred phylogenetic tree of the samples.Used to handle very large biodiversity datasets.
Proper citation: mPTP (RRID:SCR_024121) Copy
https://github.com/bartongroup/yanosim
Software tool as read simulator for nanopore DRS datasets.
Proper citation: Yanosim (RRID:SCR_024363) Copy
http://ugovaretto.github.io/molekel/
Open source multi platform molecular visualization program.
Proper citation: Molekel (RRID:SCR_024122) Copy
https://www.malvernpanalytical.com/en/products/product-range/omnisec/accessories/omnisec-software
Software for OMNISEC instrument control, data acquisition, analysis and reporting. Used for advanced analysis of proteins and polymers by GPC/SEC, and is specifically designed for control of OMNISEC RESOLVE and OMNISEC REVEAL.
Proper citation: OMNISEC (RRID:SCR_024485) Copy
Software tools to perform various types of diffusion MRI analyses, from various forms of tractography through to next-generation group-level analyses.
Proper citation: MRtrix3 (RRID:SCR_024123) Copy
http://pbil.univ-lyon1.fr/software/phyldog/
Software tool to simultaneously build gene and species trees when gene families have undergone duplications and losses. Can analyze thousands of gene families in dozens of genomes simultaneously.
Proper citation: PHYLDOG (RRID:SCR_024487) Copy
Software tool for image acquisition.Supports ProgRes microscope cameras and delivers optimal image quality and reproducible results.Included with all of Jenoptik ProgRes microscope cameras.
Proper citation: ProgRes Capture Pro (RRID:SCR_024489) Copy
The objectives of Open Science Summit are to create an annual flagship event and news hub to build and maintain the identity of the international Open Science Movement as well as organize the various sub-communities into an effective, global, socio-technological force for rapid change in science/innovation policy. The Open Science Summit is the first and only event examining the full spectrum of the most crucial policy questions affecting the future of science. We consider the disruptive changes required to improve the functioning of 21st science, including institutional changes, new infrastructure for data driven science, and new practices. Scientists, Hackers, Students, Patients, and Activists, Entrepreneurs, Funders, Citizens should attend. Anyone who cares passionately about unleashing the full potential of Open Science to solve the big problems confronting humanity. Topics include: Synthetic Biology, Open Data, Open Access, Microfinance for Science, Citizen science, DIY Biology, Alternative Funding for Research, Open Source Drug Discovery, The Future of Patents, Accelerating Innovation, Open Genomics/Medicine, and More!
Proper citation: Open Science Summit (RRID:SCR_008006) Copy
http://www.globaleventslist.elsevier.com
THIS RESOURCE IS NO LONGER IN SERVICE, documented on March, 4, 2021. A meeting resource which lists current and up-coming scientific and medical events by discipline, location, and date.
Proper citation: GlobalEventList (RRID:SCR_013960) Copy
http://cancer.dartmouth.edu/res/geospatial.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A resource to develop shared resources for the implementation of geospatial analysis for cancer research at Dartmouth. Their goal is to provide expert consultation and collaboration for research projects of NCCC members in behavior, epidemiology, and health services research. The GeoSpatial Resource also strives to educate members of the community in different aspects of geospatial analysis by providing courses through TDI and at Dartmouth College.
Proper citation: Dartmouth Geospatial Shared Resource (RRID:SCR_000874) Copy
http://www.radiology.ucsf.edu/cind
Biomedical technology research center that develops and validates new imaging methods for detecting brain abnormalities in neurodegenerative diseases, including Alzheimer's disease, vascular dementia, frontotemporal dementia, Parkinson's disease, as well as epilepsy, depression, and other conditions associated with nerve loss in the brain. As people around the globe live longer, the impact of neurodegenerative diseases is expected to increase further with dire social and economical consequences for societies if no effective treatments are developed soon. The development at CIND is aimed to improve magnetic resonance imaging (MRI). The ultimate goal of the scientific program is to identify imaging markers that improve accuracy in diagnosing neurodegenerative diseases at early stages, achieve more reliable prognoses of disease progression, and facilitate the discovery of effective treatment interventions. In addition to addressing the general needs for studying neurodegenerative diseases, another focus of CIND concerns brain diseases associated with military service and war combat, such as post traumatic stress disorder (PTSD), brain trauma, gulf war illness and the long-term effects of these conditions on the mental health of veterans. The symbiosis between CIND and the Veterans Administration Medical Center in San Francisco makes this program uniquely suited to serve military veterans.
Proper citation: Center for Imaging of Neurodegenerative Diseases (RRID:SCR_001968) Copy
http://www.ccmb.med.umich.edu/ccdu/SNPAAMapper
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. A downstream variant annotation program that can effectively classify variants by region (e.g. exon, intron, etc), predict amino acid change type (e.g. synonymous, non-synonymous mutation, etc), and prioritize mutation effects (e.g. CDS versus 5?UTR, etc). Major features: * The pipeline accepts the VCF (Variant Call Format) input file in tab-delimited format and processes the vcf input file containing all cases (G5, lowFreq, and novel) * The variant mapping step has the option of letting users select whether they want to report the bp distance between each identified intron variant and its nearby exon * The pipeline can deal with VCF files called by different SAMTools versions (0.1.18 and older ones) and also offers flexibility in dealing with vcf input files generated using SAMTools with two or three samples * The spreadsheet result file contains full protein sequences for both ref and alt alleles, which makes it easier for downstream protein structure/function analysis tools to take
Proper citation: SNPAAMapper (RRID:SCR_002012) Copy
Forum for collaborative projects in the field of brain science. Everyone is invited to submit projects, either existing ones that you want to see featured or new ones that you want launch and work on in a collaborative, open way.
Proper citation: brainhack.org (RRID:SCR_000195) Copy
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