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http://www.iris.edu/hq/

Passive and active source waveform data, event (earthquake) catalog, channel response data is available. This comprehensive data store of raw geophysical time-series data is collected from a large variety of sensors, courtesy of a vast array of US and International scientific networks, including seismometers (permanent and temporary), tilt and strain meters, infrasound, temperature, atmospheric pressure and gravimeters, to support basic research aimed at imaging the Earth's interior. IRIS also provides data and software for educational purposes. This consortium of over 100 US universities is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty. Data is stored at the IRIS Data Management Center in Seattle, Washington. They currently manage a large archive from over tens of thousands of seismic stations and ship hundreds of terabytes of data yearly.

Proper citation: Incorporated Research Institutions for Seismology (RRID:SCR_002201) Copy   

•   Source: SciCrunch Registry

http://mips.gsf.de/genre/proj/yeast/index.jsp

The MIPS Comprehensive Yeast Genome Database (CYGD) aims to present information on the molecular structure and functional network of the entirely sequenced, well-studied model eukaryote, the budding yeast Saccharomyces cerevisiae. In addition, the data of various projects on related yeasts are used for comparative analysis.

Proper citation: CYGD - Comprehensive Yeast Genome Database (RRID:SCR_002289) Copy   

•   Source: SciCrunch Registry

http://microbes.ucsc.edu/cgi-bin/hgGateway?db=neisMeni_MC58_1

Portal contains detailed information for Neisseria meningitidis MC58. Information include DNA molecule summary, primary annotation summary, and taxonomy. It is a tool that allows the researcher to access all of the bacterial genome sequences completed to date. Users may access information on all of the bacterial genomes or any subset of them. Information in the website about its DNA molecule includes: total number of DNA molecules, total size of all DNA molecules, number of primary annotation coding bases, and number of G + C bases. Its primary annotation summary include: total genes, protein coding genes, tRNA genes, and rRNA genes. Sponsors: The CMR was previously funded by two grants, one from the U.S. Department of Energy (DOE) and one from the National Science Foundation (NSF). It is currently partially funded by a Microbial Sequence Center (MSC) grant from the National Institute of Allergy and Infectious Diseases (NIAID)

Proper citation: Neisseria meningitidis MC58 Genome Page (RRID:SCR_002200) Copy   

•   Source: SciCrunch Registry

http://www.cmelist.com/

Links to, and descriptions of, every web site that offers AMA-approved Continuing Medical Education (CME) online. At this time, there are over 325 sites listed. These sites offer over 16,000 separate activities and over 26,000 hours of credit. Using this list, you can find online CME web sites arranged by their: # dominant medical specialty or medical topic; or # alphabetically by the first letter of the site name; or # you can scroll this list until you find a course or site of interest. Find sites by medical specialty or topic: Allergy, Anesthesia, Bioterrorism, Cardiology, Critical Care, Dermatology, Diabetes/Endocrinology, Ear, Nose and Throat, Emergency Medicine, Family Practice, Gastroenterology, Genetics, Geriatrics, Hematology / Oncology, HIV / Infectious Disease, Imaging / Radiology, Internal Medicine, Neurology, Neurosurgery, Obstetrics / Gynecology, Oncology/Hematology, Ophthalmology, Orthopedic Surgery, Pain Management, Pathology / Lab Medicine, Pediatrics, Psychiatry, Pulmonary, Quality/Management, Radiology / Imaging, Rheumatology, Surgery, Urology, Wellness / Prevention.

Proper citation: CMEList.com (RRID:SCR_002288) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.13/bioc/html/spliceR.html

An easy-to-use R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.

Proper citation: spliceR (RRID:SCR_002280) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/neuRosim/

Software package that allows users to generate fMRI time series or 4D data. Some high-level functions are created for fast data generation with only a few arguments and a diversity of functions to define activation and noise. For more advanced users it is possible to use the low-level functions and manipulate the arguments.

Proper citation: neuRosim (RRID:SCR_002154) Copy   

•   Source: SciCrunch Registry

http://mpss.danforthcenter.org/

Informational portal that aggregates information about databases for next gen sequencing.

Proper citation: NextGen Sequence Databases (RRID:SCR_002152) Copy   

•   Source: SciCrunch Registry

https://www.bd.com/resource.aspx?IDX=17868

Benchtop high-performance cell sorter with multiple lazer, detector and fluoroscrome options. Allows detection of 12 parameters (10 color conjugates, forward and sideward scatter).

Proper citation: BD Biosciences: LSR II Flow Cytometer (RRID:SCR_002159) Copy   

•   Source: SciCrunch Registry

http://insulatordb.uthsc.edu/

A comprehensive collection of experimentally determined and computationally predicted CCCTC-binding factor (CTCF) binding sites (CTCFBS) from the literature. The database is designed to facilitate the studies on insulators and their roles in demarcating functional genomic domains. The CTCFBS Prediction Tool allows users to scan sequences for the single best match to CTCF position weight matrices. Currently (March 2014), the database contains almost 15 million experimentally determined CTCF binding sites across several species. CTCF binding sites were collected from published papers containing CTCF binding sites identified using ChIPSeq or similar methods, data from the ENCODE project, and a set of approximately 100 manually curated binding sites identified by low-throughput experiments. Users can browse insulator sequence features, function annotations, genomic contexts including histone methylation profiles, flanking gene expression patterns and orthologous regions in other mammalian genomes. Users can also retrieve data by text search, sequence search and genomic range search.

Proper citation: CTCFBSDB (RRID:SCR_002279) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/HTGS/

Database of high-throughput genome sequences from large-scale genome sequencing centers, including unfinished and finished sequences. It was created to accommodate a growing need to make unfinished genomic sequence data rapidly available to the scientific community in a coordinated effort among the International Nucleotide Sequence databases, DDBJ, EMBL, and GenBank. Sequences are prepared for submission by using NCBI's software tools Sequin or tbl2asn. Each center has an FTP directory into which new or updated sequence files are placed. Sequence data in this division are available for BLAST homology searches against either the htgs database or the month database, which includes all new submissions for the prior month. Unfinished HTG sequences containing contigs greater than 2 kb are assigned an accession number and deposited in the HTG division. A typical HTG record might consist of all the first-pass sequence data generated from a single cosmid, BAC, YAC, or P1 clone, which together make up more than 2 kb and contain one or more gaps. A single accession number is assigned to this collection of sequences, and each record includes a clear indication of the status (phase 1 or 2) plus a prominent warning that the sequence data are unfinished and may contain errors. The accession number does not change as sequence records are updated; only the most recent version of a HTG record remains in GenBank.

Proper citation: High Throughput Genomic Sequences Division (RRID:SCR_002150) Copy   

•   Source: SciCrunch Registry

https://www.usap-dc.org/

Assists scientists in finding Antarctic scientific data of interest and submitting data for long-term preservation in accordance with their obligations under the National Science Foundation (NSF) Office of Polar Programs (OPP) Data Policy.

Proper citation: U.S. Antarctic Program Data Coordination Center (RRID:SCR_002221) Copy   

•   Source: SciCrunch Registry

http://www.pathwaycommons.org/pc

Database of publicly available pathways from multiple organisms and multiple sources represented in a common language. Pathways include biochemical reactions, complex assembly, transport and catalysis events, and physical interactions involving proteins, DNA, RNA, small molecules and complexes. Pathways were downloaded directly from source databases. Each source pathway database has been created differently, some by manual extraction of pathway information from the literature and some by computational prediction. Pathway Commons provides a filtering mechanism to allow the user to view only chosen subsets of information, such as only the manually curated subset. The quality of Pathway Commons pathways is dependent on the quality of the pathways from source databases. Pathway Commons aims to collect and integrate all public pathway data available in standard formats. It currently contains data from nine databases with over 1,668 pathways, 442,182 interactions,414 organisms and will be continually expanded and updated. (April 2013)

Proper citation: Pathway Commons (RRID:SCR_002103) Copy   

•   Source: SciCrunch Registry

https://arvados.org/

Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management.

Proper citation: Arvados (RRID:SCR_002223) Copy   

•   Source: SciCrunch Registry

http://www.nodc.noaa.gov/

Accepts and provides access to biology data, buoy data, chlorophyll, nutrients, ocean currents, oxygen, plankton, profile data, salinity, satellite data, sea level, snow and ice, temperature, waves. Please note that routine underway oceanographic shipboard data collected with standard equipment aboard the UNOLS fleet (e.g. CTD, ADCP, XBT, MET, TSG) are routinely transmitted to NODC via Rolling Deck to Repository (R2R). NODC Provides: * The World's largest collection of freely available oceanographic data * Water temperatures dating back to the late 1700's and measuring thousands of meters deep * A State of the Ocean Climate from NODC's Ocean Climate Lab and Satellite Team's scientific analyses * Scientific journals, rare books, historical photo collections and maps through the NOAA Central Library, a division of NODC * Data management expertise including metadata training through NODC's National Coastal Data Development Center

Proper citation: National Oceanographic Data Center (RRID:SCR_002189) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/frhit/

An efficient fragment recruitment software program for next generation sequences against microbial reference genomes. It produces similar sensitivity of BLASTN, but runs at a 100 times higher speed. The algorithm adopts a seeding heuristic strategy with overlapping k-mer hashing to locate candidate matching blocks on the reference sequences, and then apply an effective filtering within the candidate blocks to filter out blocks that do not meet the minimum criteria for containing an alignment with specified parameters. For each candidate block that passed the filter, the best matching sub-regions between a candidate block and a read are determined, and used subsequently by the banded Smith-Waterman algorithm to carry out the actual alignment efficiently, which will finally verify if this can be a valid recruitment hit.

Proper citation: FR-HIT (RRID:SCR_002181) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/flowPlots.html

Software for analysis plots and data class for gated flow cytometry data.

Proper citation: flowPlots (RRID:SCR_002177) Copy   

•   Source: SciCrunch Registry

https://bmrb.io

Public depository that collects, annotates, archives, and disseminates important spectral and quantitative data derived from nuclear magnetic resonance spectroscopic investigations of biological macromolecules and metabolites. Provides reference information and maintains a collection of NMR pulse sequences and computer software for biomolecular NMR.

Proper citation: Biological Magnetic Resonance Data Bank (BMRB) (RRID:SCR_002296) Copy   

•   Source: SciCrunch Registry

http://cran.r-project.org/web/packages/metaRNASeq/

Software package for meta-analysis of RNA-seq data. This package implements two p-value combination techniques (inverse normal and Fisher methods). It also provides a vignette explaining how to combine data from multiple RNA-seq experiments.

Proper citation: metaRNASeq (RRID:SCR_002174) Copy   

•   Source: SciCrunch Registry

http://bioafrica.mrc.ac.za/index.html

The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. HIV Proteomics Resource contains information about each HIV-1 gene product in regard to expression, post-transcriptional / post-translational modifications, localization, functional activities, and potential interactions with viral and host macromolecules. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites.

Proper citation: BioAfrica HIV Informatics in Africa (RRID:SCR_002295) Copy   

•   Source: SciCrunch Registry

http://www.ark-genomics.org/

Portal for studies of genome structure and genetic variation, gene expression and gene function. Provides services including DNA sequencing of model and non-model genomes using both Next Generation and Sanger sequencing , Gene expression analysis using both microarrays and Next Generation Sequencing, High throughput genotyping of SNP and copy number variants, Data collection and analysis supported in-house high performance computing facilities and expertise, Extensive EST clone collections for a number of animal species, all of commercially available microarray tools from Affymetrix, Illumina, Agilent and Nimblegen, Parentage testing using microsatellites and smaller SNP panels. ARK-Genomics has developed network of researchers whom they support through each stage of their genomics research, from grant application, experimental design and technology selection, performing wet laboratory protocols, through to analysis of data often in conjunction with commercial partners.

Proper citation: ARK-Genomics: Centre for Functional Genomics (RRID:SCR_002214) Copy   

•   Source: SciCrunch Registry