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https://www.ncbi.nlm.nih.gov/orffinder

Software tool to search for open reading frames (ORFs) in the DNA sequence. The program returns the range of each ORF, along with its protein translation. Used to search newly sequenced DNA for potential protein encoding segments, verify predicted protein. Limited to the subrange of the query sequence up to 50 kb long.

Proper citation: Open Reading Frame Finder (RRID:SCR_016643) Copy   

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https://triage.niaid.nih.gov

Platform to facilitate prediction, analysis, and hypothesis generation from genome wide perturbation studies like those designed with RNAi and CRISPR technologies.

Proper citation: TRIAGE (RRID:SCR_016609) Copy   

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https://github.com/iychoi/libra

Hadoop based tool for massive comparative metagenomics analysis. Compute the similarity between metagenomic samples.

Proper citation: Libra (RRID:SCR_016608) Copy   

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http://www.wrbu.org/index.html

National resource for systematics research on medically important arthropods and maintainance of the U.S. mosquito collection based in the Smithsonian Institution. Provides an online repository for vector collection data and clearinghouse where individuals and organizations can contribute vector occurrence records, search for vector information, and use tools for the visualization of various vector collections.

Proper citation: Walter Reed Biosystematics Unit (RRID:SCR_016729) Copy   

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https://www.bdbiosciences.com/en-us/products/instruments/flow-cytometers/research-cell-sorters/bd-facsaria-iii

Instrument for cell sorting by BD Biosciences where positive air pressure forces sample cell through an optically gel-coupled cuvette . Hydrodynamic focusing guides particles in a single-file stream through the cuvette, where laser light intercepts the stream at the sample interrogation point.Fluorescence activated cell sorting instrument. Flow cytometer as high speed fixed alignment benchtop cell sorter. Enables multicolor analysis of up to 13 fluorescent markers and two scatter parameters at time.

Proper citation: BD Biosciences: FACSAria III Cell Sorter (RRID:SCR_016695) Copy   

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http://emg.nysbc.org/redmine/projects/appion/wiki/Appion_Home

Software package for processing and analysis of EM images. Appion is integrated with Leginon data acquisition but can also be used stand-alone after uploading images (either digital or scanned micrographs) or particle stacks using a set of provided tools.

Proper citation: Appion Package (RRID:SCR_016734) Copy   

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https://niaid.github.io/dcas/

Web tool to import raw cDNA sequences, clean sequences, build sequence contigs, perform SignalP analysis, BLAST contigs against numerous BLAST databases, and view the results. Automates large scale cDNA sequence analysis., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: dCAS (RRID:SCR_016612) Copy   

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https://www.bioconductor.org/packages/release/workflows/html/RnaSeqGeneEdgeRQL.html

Software to study analysis of an RNA-Seq experiment using the Rsubread and edgeR packages. The workflow starts from read alignment and continues on to data exploration, to differential expression and, finally, to pathway analysis. The analysis includes plots, GO and KEGG analyses, and the analysis of a expression signature as generated by a prior experiment.

Proper citation: RnaSeqGeneEdgeRQL (RRID:SCR_016699) Copy   

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http://grigoriefflab.janelia.org/ctffind4

Software tool for finding CTFs of electron micrographs. Program used for the estimation of objective lens defocus parameters from transmission electron micrographs. The program CTFFIND3 is an updated version of the program CTFFIND2. For micrographs collected on photographic film and scanned in use CTFFIND 3. For images from CCDs or direct detectors use CTFFIND 4.

Proper citation: CTFFIND (RRID:SCR_016732) Copy   

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https://bioinformatics.niaid.nih.gov/nglycpred/

Web based server to discriminate between glycosylated and non-glycosylated N-X-(T/S) sequons by incorporating structural information and patterns.

Proper citation: NGlycPred (RRID:SCR_016610) Copy   

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https://github.com/NeurophysVis/SpectraVis

Web based neuroscience application for analyzing task-related functional networks over time and frequency. Interactive visualization tool for exploring functional brain connectivity.

Proper citation: SpectraVis (RRID:SCR_016691) Copy   

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https://bioinformatics.niaid.nih.gov/hasp

Web server to visualize phylogenetic, biochemical, and immunological hemagglutinin data in the three-dimensional context of homology models. Database and structural visualization platform for comparative models of influenza A hemagglutinin proteins.

Proper citation: HASP (RRID:SCR_016615) Copy   

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https://github.com/TGAC/KAT

Software that generates, analyses and compares k-mer spectra produced from sequence files. Used to quality control NGS datasets and genome assemblies.

Proper citation: KAT (RRID:SCR_016741) Copy   

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https://sleepdata.org/datasets/ccshs

Portal for population based pediatric cohorts studied with objective sleep studies. Includes children with in-home sleep studies, acoustic reflectometry, anthropometry, spirometry, blood pressure (BP), and neuropsychology (NP) and behavioral assessments. Signals recorded include EEG, ECG, EOG, EMG, SpO2, airflow (thermocouple) nasal pressure, respiratory effort, position, plethysmography, light, HR.

Proper citation: Cleveland Children's Sleep and Health Study (RRID:SCR_016584) Copy   

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http://www.indecbiosystems.com/imagingworkbench/default.asp

Software for multichannel dynamic fluorescence image acquisition and analysis by INDEC BioSystems.

Proper citation: Imaging WorkBench (RRID:SCR_016589) Copy   

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https://sleepdata.org/datasets/bestair/

Portal for sleep study to address challenges in conducting future large-scale trials of sleep apnea treatment. Includes data from sleep apnea patients with cardiovascular disease or risk factors. Signals included in the polysomnography (PSG) montage are ECG, SpO2, airflow, nasal pressure, position, pulse, respiratory effort, snore, tidal volume.

Proper citation: Best Apnea Interventions for Research (BestAIR) sleep study (RRID:SCR_016583) Copy   

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http://www.cdc.gov/nccdphp/dnpa/

Our vision a world where regular physical activity, good nutrition, and healthy weight are part of everyone''s life. Our mission to lead strategic public health efforts to prevent and control obesity, chronic disease, and other health conditions though regular physical activity and good nutrition. Our goals: * Increase health-related physical activity through population-based approaches. * Improve those aspects of dietary quality most related to the population burden of chronic disease and unhealthy child development. * Decrease prevalence of obesity through preventing excess weight gain and maintenance of healthy weight loss. Our Work With fiscal year (FY) 2008 funding of 38 million, CDC''s DNPAO is working to reduce obesity and obesity-related diseases. This is done through state programs, research, surveillance, training, intervention development and evaluation, leadership, policy and environmental change, communication and social marketing, and partnership development. See At A Glance 2009 for more. Supporting State Programs The Nutrition, Physical Activity and Obesity Program (NPAO) is a cooperative agreement between the Centers for Disease Control and Prevention''s Division of Nutrition, Physical Activity and Obesity (DNPAO) and 23 state health departments. The program goal is to prevent and control obesity and other chronic diseases through healthful eating and physical activity. The state program will develop strategies to leverage resources and coordinate statewide efforts with multiple partners to address all of the following DNPAO principal target areas: 1. Increase physical activity. 2. Increase the consumption of fruits and vegetables. 3. Decrease the consumption of sugar sweetened beverages. 4. Increase breastfeeding initiation, duration and exclusivity. 5. Reduce the consumption of high energy dense foods. 6. Decrease television viewing. Our Research DNPAO supports research to enhance the effectiveness of physical activity and nutrition programs. Topics of these research activities include: * the effectiveness of parent-focused strategies to reduce the time children spend watching television * the influences of the home environment on sugar-sweetened beverage consumption * the use of policy interventions to promote physical activity * the effectiveness of breastfeeding interventions in various settings. Publications: http://www.cdc.gov/nccdphp/DNPAO/aboutus/manuscripts/index.html

Proper citation: Division of Nutrition, Physical Activity and Obesity (RRID:SCR_008557) Copy   

•   Source: SciCrunch Registry
  

https://www.bci2000.org/

BCI2000 is a general-purpose system for brain-computer interface (BCI) and adaptive neurotechnology research. It can also be used for data acquisition, stimulus presentation, and brain monitoring applications. The mission of the BCI2000 project is to facilitate research and applications in the areas described. Their vision is that BCI2000 will become a widely used software tool for diverse areas of real-time biosignal processing. In order to achieve this vision, BCI2000 system is available for free for non-profit research and educational purposes. BCI2000 supports a variety of data acquisition systems, brain signals, and study/feedback paradigms. During operation, BCI2000 stores data in a common format (BCI2000 native or GDF), along with all relevant event markers and information about system configuration. BCI2000 also includes several tools for data import/conversion (e.g., a routine to load BCI2000 data files directly into Matlab) and export facilities into ASCII. BCI2000 also facilitates interactions with other software. For example, Matlab scripts can be executed in real-time from within BCI2000, or BCI2000 filters can be compiled to execute as stand-alone programs. Furthermore, a simple network-based interface allows for interactions with external programs written in any programming language. For example, a robotic arm application that is external to BCI2000 may be controlled in real time based on brain signals processed by BCI2000, or BCI2000 may use and store along with brain signals behavioral-based inputs such as eye-tracker coordinates. Because it is based on a framework whose services can support any BCI implementation, the use of BCI2000 provides maximum benefit to comprehensive research programs that operate multiple BCI2000 installations to collect data for a variety of studies. The most important benefits of the system in such situations are: - A Proven Solution - Facilitates Operation of Research Programs - Facilitates Deployment in Multiple Sites - Cross-Platform and Cross-Compiler Compatibility - Open Resource Sponsors: BCI2000 development is sponsored by NIH/NIBIB R01 and NIH/NINDS U24 grants. Keywords: General, Purpose, Systems, Brain, Computer, Interface, Research, Application, Brain, Diverse, Educational, Laboratory, Software, Network, Signals, Behavioral, Eye, Tracker,

Proper citation: Brain Computer Interface 2000 Software Package (RRID:SCR_007346) Copy   

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http://tulane.edu/som/regenmed/services/index.cfm

The Stem Cell Research and Regenerative Medicine''s Tissue Culture Core provides cells for research use within the department, as well as for distribution to other facilities. The core obtains hMSCs from bone marrow donor samples and expands these cells for research use. The hMSC''s are also characterized for bone, fat and cartilage differentiation, and are stored on site for use. The Tissue Culture Core also handles the expansion and characterization of mouse and rat MSC''s. The animal cells are cultured in a separate area, and never interact with human derived cells. We also have a supply of hMSC''s marked with GFP+, Mito Red and Mito Blue available.

Proper citation: Tulane Stem Cell Research and Regenerative Medicine Tissue Culture Core (RRID:SCR_007342) Copy   

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http://www.loni.usc.edu/Software/IO_Plugins

Decoders and encoders written in Java for the AFNI, ANALYZE, DICOM, ECAT, GE, MINC, NIFTI and other neuroimaging file formats.The plugins use Java Image I/O interfaces to read and write metadata and image data and can read and write AFNI, ANALYZE 7.5, DICOM, ECAT 7.2, GE 5.0, INTERFILE (including hrrt), MINC, NIFTI, and UCLA PACS file formats. All source code is provided and usage examples are included.

Proper citation: LONI Java Image I/O Plugins (RRID:SCR_008277) Copy   

•   Source: SciCrunch Registry