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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.
http://www.scienceexchange.com/facilities/genomics-core-facility-brown
Provides genomics and proteomics equipment to researchers at Brown University and to entire Rhode Island research community, as well as assistance with experimental design, trouble shooting, and data analysis. Offers Affymetrix microarray and Illumina NextGeneration services to academic community and external customers.
Proper citation: Brown University Genomics Core Facility (RRID:SCR_012217) Copy
http://www.scienceexchange.com/facilities/nnin-nano-research-facility-wustl
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 15,2024. Nano Research Facility (NRF) at Washington University in St. Louis is a NNIN nodal facility supported by the National Science Foundation. It cultivates an open, shared research, and education environment that brings researchers across disciplines together, particularly in the emerging area of nanomaterials with applications in the energy, environment, and biomedical fields. The mission is to be a resource to the scientific and technical community for the advancement of nanoscience and nanotechnology in a safe and environmentally benign manner. NRF includes a micro- and nano-fabrication lab (clean room), surface characterization lab, particle technology lab, and imaging lab with a focus on bio-imaging. NRF provides unique technical expertise in: Knowledge-based synthesis of nanostructured materials Particle instrumentation tools for toxicity studies Non-invasive imaging modalities for biological applications Clean Energy Applications Energy and Environmental nanotechology Environmental Health and Safety As a member of the National Nanotechnology Infrastructure Network (NNIN), supported by the National Science Foundation, NRF is available to both academic and industrial users nation-wide and across the globe.
Proper citation: WUSTL NNIN - Nano Research Facility (RRID:SCR_012674) Copy
http://www.nitrc.org/projects/efficient_pt
A Matlab implementation for efficient permutation testing by using matrix completion.
Proper citation: Efficient Permutation Testing (RRID:SCR_014104) Copy
https://pynwb.readthedocs.io/en/latest/
Software Python package for working with Neurodata stored in Neurodata Without Borders files. Software providing API allowing users to read and create NWB formatted HDF5 files. Developed in support to NWB project with aim of spreading standardized data format for cellular based neurophysiology information.
Proper citation: PyNWB (RRID:SCR_017452) Copy
https://github.com/sqjin/CellChat
Software R toolkit for inference, visualization and analysis of cell-cell communication from single cell data.Quantitatively infers and analyzes intercellular communication networks from single-cell RNA-sequencing data. Predicts major signaling inputs and outputs for cells and how those cells and signals coordinate for functions using network analysis and pattern recognition approaches. Classifies signaling pathways and delineates conserved and context specific pathways across different datasets.
Proper citation: CellChat (RRID:SCR_021946) Copy
https://CRAN.R-project.org/package=simplePHENOTYPES
Software R package that simulates pleiotropy, partial pleiotropy, and spurious pleiotropy in wide range of genetic architectures, including additive, dominance and epistatic models. Used to simulate multiple traits controlled by loci with varying degrees of pleiotropy.
Proper citation: simplePHENOTYPES (RRID:SCR_022523) Copy
https://github.com/plaisier-lab/sygnal
Software pipeline to integrate correlative, causal and mechanistic inference approaches into unified framework that systematically infers causal flow of information from mutations to TFs and miRNAs to perturbed gene expression patterns across patients. Used to decipher transcriptional regulatory networks from multi-omic and clinical patient data. Applicable for integrating genomic and transcriptomic measurements from human cohorts.
Proper citation: SYGNAL (RRID:SCR_023080) Copy
https://yeatmanlab.github.io/pyAFQ/
Software package focused on automated delineation of major fiber tracts in individual human brains, and quantification of tissue properties within the tracts.Software for automated processing and analysis of diffusion MRI data. Automates tractometry.
Proper citation: Automated Fiber Quantification in Python (RRID:SCR_023366) Copy
https://bioconductor.org/packages/release/bioc/html/Maaslin2.html
SoftwareR package that identifies microbial taxa correlated with factors of interest using generalized linear models and mixed models.Used for efficiently determining multivariable association between clinical metadata and microbial meta'omic features.
Proper citation: MaAsLin2 (RRID:SCR_023241) Copy
https://github.com/virajbdeshpande/AmpliconArchitect
Software package designed to call circular DNA from short read WGS data.Used to identify one or more connected genomic regions which have simultaneous copy number amplification and elucidates architecture of amplicon.Used to reconstruct structure of focally amplified regions using whole genome sequencing and validate it extensively on multiple simulated and real datasets, across wide range of coverage and copy numbers.
Proper citation: AmpliconArchitect (RRID:SCR_023150) Copy
https://github.com/compbiolabucf/omicsGAN
Software generative adversarial network to integrate two omics data and their interaction network to generate one synthetic data corresponding to each omics profile that can result in better phenotype prediction. Used to capture information from interaction network as well as two omics datasets and fuse them to generate synthetic data with better predictive signals.
Proper citation: OmicsGAN (RRID:SCR_022976) Copy
http://virusdetect.feilab.net/cgi-bin/virusdetect/index.cgi
Software package to efficiently and exhaustively analyze large scale sRNA datasets for virus identification. Automated pipeline for virus discovery using deep sequencing of small RNAs.
Proper citation: VirusDetect (RRID:SCR_023669) Copy
A collection of information about biodiversity compiled collaboratively by hundreds of expert and amateur contributors. Its goal is to contain a page with pictures, text, and other information for every species and for each group of organisms, living or extinct. Connections between Tree of Life web pages follow phylogenetic branching patterns between groups of organisms, so visitors can browse the hierarchy of life and learn about phylogeny and evolution as well as the characteristics of individual groups.
Proper citation: Tree of Life Web Project (RRID:SCR_005673) Copy
ProPortal is a database containing genomic, metagenomic, transcriptomic and field data for the marine cyanobacterium Prochlorococcus. Our goal is to provide a source of cross-referenced data across multiple scales of biological organization--from the genome to the ecosystem--embracing the full diversity of ecotypic variation within this microbial taxon, its sister group, Synechococcus and phage that infect them. The site currently contains the genomes of 13 Prochlorococcus strains, 11 Synechococcus strains and 28 cyanophage strains that infect one or both groups. Cyanobacterial and cyanophage genes are clustered into orthologous groups that can be accessed by keyword search or through a genome browser. Users can also identify orthologous gene clusters shared by cyanobacterial and cyanophage genomes. Gene expression data for Prochlorococcus ecotypes MED4 and MIT9313 allow users to identify genes that are up or downregulated in response to environmental stressors. In addition, the transcriptome in synchronized cells grown on a 24-h light-dark cycle reveals the choreography of gene expression in cells in a ''natural'' state. Metagenomic sequences from the Global Ocean Survey from Prochlorococcus, Synechococcus and phage genomes are archived so users can examine the differences between populations from diverse habitats. Finally, an example of cyanobacterial population data from the field is included.
Proper citation: ProPortal (RRID:SCR_006112) Copy
A comprehensive biochemical knowledge-base on human metabolism, this community-driven, consensus metabolic reconstruction integrates metabolic information from five different resources: * Recon 1, a global human metabolic reconstruction (Duarte et al, PNAS, 104(6), 1777-1782, 2007) * EHMN, Edinburgh Human Metabolic Network (Hao et al., BMC Bioinformatics 11, 393, 2010) * HepatoNet1, a liver metabolic reconstruction (Gille et al., Molecular Systems Biology 6, 411, 2010), * Ac/FAO module, an acylcarnitine/fatty acid oxidation module (Sahoo et al., Molecular bioSystems 8, 2545-2558, 2012), * a human small intestinal enterocytes reconstruction (Sahoo and Thiele, submitted). Additionally, more than 370 transport and exchange reactions were added, based on a literature review. Recon 2 is fully semantically annotated (Le Nov��re, N. et al. Nat Biotechnol 23, 1509-1515, 2005) with references to persistent and publicly available chemical and gene databases, unambiguously identifying its components and increasing its applicability for third-party users. Here you can explore the content of the reconstruction by searching/browsing metabolites and reactions. Recon 2 predictive model is available in the Systems Biology Markup Language format.
Proper citation: Recon x (RRID:SCR_006345) Copy
Public global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.
Proper citation: Worldwide Protein Data Bank (wwPDB) (RRID:SCR_006555) Copy
http://arabidopsis.med.ohio-state.edu
An information resource of Arabidopsis promoter sequences, transcription factors and their target genes that contains three databases. *AtcisDB consists of approximately 33,000 upstream regions of annotated Arabidopsis genes (TAIR9 release) with a description of experimentally validated and predicted cis-regulatory elements. *AtTFDB contains information on approximately 1,770 transcription factors (TFs). These TFs are grouped into 50 families, based on the presence of conserved domains. *AtRegNet contains 11,355 direct interactions between TFs and target genes. They provide free download of Arabidopsis thaliana cis-regulatory database (AtcisDB) and transcription factor database (AtTFDB).
Proper citation: Arabidopsis Gene Regulatory Information Server (RRID:SCR_006928) Copy
http://www.agbase.msstate.edu/
A curated, open-source, web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase provides tools designed to assist with the analysis of proteomics data and tools to evaluate experimental datasets using the GO. Additional tools for sequence analysis are also provided. We use controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species. AgBase will also accept annotations from any interested party in the research communities. AgBase develops freely available tools for functional analysis, including tools for using GO. We appreciate any and all questions, comments, and suggestions. AgBase uses the NCBI Blast program for searches for similar sequences. And the Taxonomy Browser allows users to find the NCBI defined taxon ID for or taxon name for different organisms.
Proper citation: AgBase (RRID:SCR_007547) Copy
Free access to materials for students, educators, and researchers in cognitive psychology and cognitive neuroscience. Currently there are about a dozen demonstrations and more than 30 videos that were produced over the last two years. The basic philosophy of goCognitive rests on the assumption that easy and free access to high-quality content will improve the learning experience of students and will enable more students to enjoy the field of cognitive psychology and cognitive neuroscience. There are a few parts of goCognitive that are only available to registered users who have provided their email address, but all of the online demonstrations and videos are accessible to the everyone. Both new demonstrations and new video interviews will continually be added to the site. Manuals for each of the demonstration are being created and available as pdf files for download. Most of the demonstrations are pretty straightforward - but in some cases, especially if you would like to collect data - it might be a good idea to look over the manual. There are different ways in which you can get involved and contribute to the site. Your involvement can range from sending us feedback about the demonstrations and videos, suggestions for new materials, or the simple submission of corrections, to the creation or publication of demonstrations and videos that meet our criteria. Down the road we will make the submission process easier, but for now please contact swerner (at) uidaho dot edu for more information. NSF student grant Undergraduate students can apply through goCognitive for an $1,100 grant to co-produce a new video interview with a leading researcher in the field of cognitive neuroscience. The funding has been provided by the National Science Foundation.
Proper citation: goCognitive (RRID:SCR_006154) Copy
http://www.scrible.com/#desktop
We''re bringing Web-based research into the Internet Era by empowering people to mark up web pages in the browser and manage and collaborate on them online. And that''s just the start... We''ve got much more planned in a variety of areas to help people manage the mounds of info they''re pulling off the Web everyday. Simply drag the scrible bookmarklet to your browser''s Bookmarks toolbar. Click it later to mark up, save or share web pages. Even though the world uses the Internet to research nearly everything for work, school and home (job postings, press releases, Wikipedia articles, medical info, etc.), most folks still use old-school ways of annotating, organizing and sharing online info (printing to mark by hand, copying/pasting into Word, etc.). It''s archaic, laborious and a waste of time. We''re changing that. A bookmarklet is a bookmarked link that, when clicked, adds functionality to your browser. When the scrible Bookmarklet is clicked, it loads the scrible Toolbar atop the current webpage you''re viewing. Adding the scrible Bookmarklet to your browser is a breeze. Simply drag it to your browser''s Bookmarks Toolbar.
Proper citation: scrible (RRID:SCR_008882) Copy
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