Tools   Select Another Resource Report Type

http://www.nlm.nih.gov/pubs/factsheets/medline.html

MEDLINE (Medical Literature Analysis and Retrieval System Online) is the U.S. National Library of Medicine''s (NLM) premier bibliographic database that contains over 16 million references to journal articles in life sciences with a concentration on biomedicine. MEDLINE is the primary component of PubMed, part of the Entrez series of databases provided by NLM''s National Center for Biotechnology Information (NCBI). MEDLINE may also be searched via the NLM Gateway. Currently, citations from approximately 5,200 worldwide journals in 37 languages; 60 languages for older journals. Citations for MEDLINE are created by the NLM, international partners, and collaborating organizations. The subject scope of MEDLINE is biomedicine and health, broadly defined to encompass those areas of the life sciences, behavioral sciences, chemical sciences, and bioengineering needed by health professionals and others engaged in basic research and clinical care, public health, health policy development, or related educational activities. MEDLINE also covers life sciences vital to biomedical practitioners, researchers, and educators, including aspects of biology, environmental science, marine biology, plant and animal science as well as biophysics and chemistry. Sponsors: Services/products providing access to MEDLINE data are also developed and made available by organizations that lease the database from NLM.

Proper citation: National Library of Health: Medical Literature Analysis and Retrieval System Online Fact Sheet (RRID:SCR_006994) Copy   

•   Source: SciCrunch Registry

http://pepr.cnmcresearch.org/

An experiment in web-database access to large multi-dimensional data sets using a standardized experimental platform to determine if the larger scientific community can be given simple, intuitive, and user-friendly web-based access to large microarray data sets. All data in PEPR is also available via NCBI GEO. The structure and goals of PEPR differ from other mRNA expression profiling databases in a number of important ways. * The experimental platform in PEPR is standardized, and is an Affymetrix - only database. All microarrays available in the PEPR web database should ascribe to quality control and standard operating procedures. A recent publication has described the QC/SOP criteria utilized in PEPR profiles ( The Tumor Analysis Best Practices Working Group 2004 ). * PEPR permits gene-based queries of large Affymetrix array data sets without any specialized software. For example, a number of large time series projects are available within PEPR, containing 40-60 microarrays, yet these can be simply queried via a dynamic web interface with no prior knowledge of microarray data analysis. * Projects in PEPR originate from scientists world-wide, but all data has been generated by the Research Center for Genetic Medicine, Children''''s National Medical Center, Washington DC. Future developments of PEPR will allow remote entry of Affymetrix data ascribing to the same QC/SOP protocols. They have previously described an initial implementation of PEPR, and a dynamic web-queried time series graphical interface ( Chen et al. 2004 ). A publication showing the utility of PEPR for pharmacodynamic data has recently been published ( Almon et al. 2003 ).

Proper citation: Public Expression Profiling Resource (RRID:SCR_007274) Copy   

•   Source: SciCrunch Registry

https://www.bioinfor.com/peaks-studio/

Software platform with complete solutions for discovery proteomics, including protein identification and quantification, analysis of post translational modifications and sequence variants (mutations), and peptide/protein de novo sequencing.

Proper citation: PEAKS Studio (RRID:SCR_022841) Copy   

•   Source: SciCrunch Registry

http://www.bioquest.org/esteem/esteem_details.php?product_id=248

Software to allow construction, analysis, and simulation of complex models in spreadsheet format.

Proper citation: PopTools (RRID:SCR_022840) Copy   

•   Source: SciCrunch Registry

https://covic.lji.org/databases/

Serves as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them. Most potent antibodies will guide development of vaccines to stop current outbreak and protect against future pandemics.

Proper citation: CoVIC-DB Database (RRID:SCR_018339) Copy   

•   Source: SciCrunch Registry

http://www.project-redcap.org/

Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions.

Proper citation: REDCap (RRID:SCR_003445) Copy   

•   Source: SciCrunch Registry

http://www.rad.upenn.edu/sbia/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 2, 2023. A section of the Penn department of radiology, it is devoted to the development of computer-based image analysis methods and their application to clinical research studies. Image analysis methodologies include image registration, segmentation, population-based statistical analysis, biophysical modeling of anatomical deformations, and high-dimensional pattern classification. Clinical research studies spans a variety of clinical areas and organs, and they include brain diseases such as Alzheimer's disease and schizophrenia, evaluation of treatment effects in large clinical trials, diagnosis of cardiac diseases, and diagnosis prostate, breast and brain cancer. SBIA also performs small animal imaging research aiming to understand brain development in mouse models. It has multiple resources which can be accessed by researcher.

Proper citation: SBIA (RRID:SCR_013628) Copy   

•   Source: SciCrunch Registry

http://dichroweb.cryst.bbk.ac.uk/html/home.shtml

Web server for analysis of protein circular dichroism spectra. Provides access to circular dichroism secondary structure calculation algorithms and reference databases. Used in analysis of protein secondary structures.

Proper citation: DichroWeb (RRID:SCR_018125) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/covid-19

EMBL-EBI portal to enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets submitted to EMBL-EBI and other major centers for biomedical data. Used to facilitate data sharing and analysis to accelerate coronavirus research. The aim of the COVID-19 Data Portal is to facilitate data sharing and analysis, and to accelerate coronavirus research. EMBL-EBI and partners have set up the COVID-19 Data Portal, which will bring together relevant datasets submitted to EMBL-EBI and other major centres for biomedical data. The aim is to facilitate data sharing and analysis, and to accelerate coronavirus research. The COVID-19 Data Portal will enable researchers to upload, access and analyse COVID-19 related reference data and specialist datasets. The COVID-19 Data Portal will be the primary entry point into the functions of a wider project, the European COVID-19 Data Platform.

Proper citation: EMBL-EBI COVID-19 Portal (RRID:SCR_018337) Copy   

•   Source: SciCrunch Registry

https://viewer.cytosplore.org/

Web based interactive visual analysis system for exploration of single cell data published in Allen Cell Types Database and for number of single cell data resources of Brain Initiative Single Cell Network. Allows interactive exploration of hierarchies of cell types, visualization of transcriptome wide gene expression in combination with metadata of individual cells, performing differential analyses and statistics between manual selections of cells, or between pre-defined clusters throughout cellular hierarchy and more.

Proper citation: Cytosplore Viewer (RRID:SCR_018330) Copy   

•   Source: SciCrunch Registry

http://mole.upol.cz

Interactive web based tool for analyzing biomacromolecular channels, tunnels and pores. Enables two modes of calculation with one dedicated to analysis of channels and another for transmembrane pores. Can use PDB and mmCIF formats. Can analyze biomacromolecular structures stemming from NMR, X-ray and cryo-EM techniques. Interconnected with PDBe, CSA, ChannelsDB, OPM, UniProt to help setup and analysis of acquired results. Provides analytics for detection and structural characterization of channels and information about their physicochemical features.

Proper citation: MOLEonline (RRID:SCR_018314) Copy   

•   Source: SciCrunch Registry

https://pdc.cancer.gov/pdc/

Portal to make cancer related proteomic datasets easily accessible to public. Facilitates multiomic integration in support of precision medicine through interoperability with other resources. Developed to advance our understanding of how proteins help to shape risk, diagnosis, development, progression, and treatment of cancer. One of several repositories within NCI Cancer Research Data Commons which enables researchers to link proteomic data with other data sets (e.g., genomic and imaging data) and to submit, collect, analyze, store, and share data throughout cancer data ecosystem. PDC provides access to highly curated and standardized biospecimen, clinical, and proteomic data, intuitive interface to filter, query, search, visualize and download data and metadata. Provides common data harmonization pipeline to uniformly analyze all PDC data and provides advanced visualization of quantitative information. Cloud based (Amazon Web Services) infrastructure facilitates interoperability with AWS based data analysis tools and platforms natively. Application programming interface (API) provides cloud-agnostic data access and allows third parties to extend functionality beyond PDC. Structured workspace that serves as private user data store and also data submission portal. Distributes controlled access data, such as patient-specific protein fasta sequence databases, with dbGaP authorization and eRA Commons authentication.

Proper citation: Proteomic Data Commons (RRID:SCR_018273) Copy   

•   Source: SciCrunch Registry

http://statistika.mfub.bg.ac.rs/interactive-repeated-experiments-dotplot/

Web tool for creating interactive graphics. Enables authors to create interactive graphics from data obtained with repeated independent experiments. Designed for laboratory studies with repeated experiments.

Proper citation: Interactive Repeated Experiments Dotplot (RRID:SCR_018328) Copy   

•   Source: SciCrunch Registry

https://www.bio.ifi.lmu.de/software/watchdog/index.html

Software workflow management system for automated and distributed analysis of large scale experimental data. Implemented in Java and is thus platform independent.

Proper citation: Watchdog (RRID:SCR_018355) Copy   

•   Source: SciCrunch Registry

https://github.com/embl-cba/fiji-plugin-bigDataProcessor/blob/master/README.md

Software tool for visual inspection and processing of big image data. Enables loading of Tiff and Hdf5 based image data. BDC supports cropping and saving of big image data including binning and bit depth conversion. Used for analysis of TB sized image data like light sheet microscopy or electron microscopy.

Proper citation: Big Data Processor (RRID:SCR_018484) Copy   

•   Source: SciCrunch Registry

https://www.perkinelmer.com/uk/product/harmony-4-8-office-hh17000001

Harmony high content imaging and analysis software. Used to quantify complex cellular phenotypes. Designed for PerkinElmer high content screening systems.

Proper citation: Harmony (RRID:SCR_018809) Copy   

•   Source: SciCrunch Registry

https://ohlerlab.mdc-berlin.de/software/RiboTaper_126/

Software tool as analysis pipeline for ribosome profiling experiments, which exploits triplet periodicity of ribosomal footprints to call translated regions. Statistical approach that identifies translated regions on basis of characteristic three nucleotide periodicity of Ribo-seq data.

Proper citation: RiboTaper (RRID:SCR_018880) Copy   

•   Source: SciCrunch Registry

http://www.imgt.org/StatClonotype/

Software tool to evaluate and visualize statistical significance of pairwise comparisons of IMGT clonotype (AA) diversity or expression, per variable,diversity, and joining gene of given IG or TR group, from NGS IMGT/HighV-QUEST statistical output. Antibody clonotype analysis based on NGS sequences.

Proper citation: IMGT/StatClonotype (RRID:SCR_018963) Copy   

•   Source: SciCrunch Registry

https://github.com/auranic/ClinTrajan

Software Python package for analysis of trajectories in clinical datasets.

Proper citation: ClinTrajAn (RRID:SCR_019018) Copy   

•   Source: SciCrunch Registry

https://github.com/MRCIEU/TwoSampleMR

Software R package for performing Mendelian randomization using genome wide association study summary data.

Proper citation: TwoSampleMR (RRID:SCR_019010) Copy   

•   Source: SciCrunch Registry