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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.

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On page 6 showing 101 ~ 120 out of 396 results
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  • RRID:SCR_018545

    This resource has 10+ mentions.

https://github.com/blackrim/phyutility

Command line program that performs analyses or modifications on both trees and data matrices. Software phyloinformatics tool for trees, alignments and molecular data. Used for summarizing and manipulating phylogenetic trees, manipulating molecular data and retrieving data from NCBI.

Proper citation: Phyutility (RRID:SCR_018545) Copy   


  • RRID:SCR_018721

    This resource has 1000+ mentions.

http://www.prisma-statement.org/

Evidence based minimum set of items for reporting in systematic reviews and meta analyses. Focuses on reporting of reviews evaluating randomized trials, but can also be used as basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.

Proper citation: PRISMA (RRID:SCR_018721) Copy   


  • RRID:SCR_018933

    This resource has 100+ mentions.

http://bioinf.wehi.edu.au/software/elda/

Software tool for limiting dilution analysis, with particular attention to needs of stem cell assays. Provides confidence intervals for all LDA data sets, including those with 0% or 100% responses. Other features include test of adequacy of single hit hypothesis, tests for frequency differences between multiple data sets, and ability to take advantage of cases where number of cells in sample is counted exactly.

Proper citation: ELDA (RRID:SCR_018933) Copy   


  • RRID:SCR_019043

    This resource has 100+ mentions.

https://www.ebi.ac.uk/thornton-srv/software/PROCHECK/

Software tool to check stereochemical quality of protein structures. Its outputs comprise number of plots in PostScript format and comprehensive residue by residue listing. Includes PROCHECK-NMR for checking quality of structures solved by NMR.

Proper citation: PROCHECK (RRID:SCR_019043) Copy   


  • RRID:SCR_019225

    This resource has 100+ mentions.

https://cran.r-project.org/web/packages/igraph/

Software package for graphs and network analysis. Provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.Can be programmed in R, Python, Mathematica, C/C Plus Plus.

Proper citation: igraph (RRID:SCR_019225) Copy   


  • RRID:SCR_019223

    This resource has 10+ mentions.

https://www.openclinica.com/

Web platform for electronic data capture by OpenClinica, LLC. Used as clinical trial management system.

Proper citation: OpenClinica (RRID:SCR_019223) Copy   


  • RRID:SCR_020251

    This resource has 50+ mentions.

http://www.biosoft.com/w/calcusyn.htm

Software tool for drug mixtures study and establishing efficacy. Dose effect analyzer of combined drugs. Able to quantify synergism and inhibition. CalcuSyn Version 2.0 has Undo and Redo tools.

Proper citation: CalcuSyn (RRID:SCR_020251) Copy   


  • RRID:SCR_020942

    This resource has 50+ mentions.

https://www.miltenyibiotec.com/products/macs-flow-cytometry/software/flowlogic-software.html

Software tool for flow cytometry data analysis by Miltenyi Biotec.

Proper citation: Flowlogic (RRID:SCR_020942) Copy   


  • RRID:SCR_018365

    This resource has 10+ mentions.

https://sedfitsedphat.nibib.nih.gov/software/default.aspx

Software tool for analytical ultracentrifugation developed by Dynamics of Macromolecular Assembly group of Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, NIH. Used for biophysical analysis of macromolecular assembly.

Proper citation: SEDFIT (RRID:SCR_018365) Copy   


  • RRID:SCR_017251

    This resource has 100+ mentions.

http://www.bio-rad.com/en-eh/product/cfx-manager-software

Software tool to analyze real-time PCR data and run PCR system in software controlled mode., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CFX Manager (RRID:SCR_017251) Copy   


  • RRID:SCR_017216

    This resource has 50+ mentions.

http://rna.urmc.rochester.edu/RNAstructureWeb/Servers/Predict1/Predict1.html

Web server for RNA and DNA secondary structure prediction and analysis. Software package as RNA folding prediction program.

Proper citation: RNAstructure (RRID:SCR_017216) Copy   


  • RRID:SCR_017277

    This resource has 10000+ mentions.

http://clustalw.ddbj.nig.ac.jp/index.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.Web sevice of ClustalW provided by DNA data bank of Japan.

Proper citation: ClustalW (RRID:SCR_017277) Copy   


  • RRID:SCR_016641

    This resource has 50+ mentions.

https://www.ncbi.nlm.nih.gov/Web/Newsltr/Spring04/blastlab.html

Software tool as a program within the standalone BLAST package used to cluster either protein or nucleotide sequences. Used to make non redundant sequence sets.

Proper citation: BLASTClust (RRID:SCR_016641) Copy   


  • RRID:SCR_016732

    This resource has 100+ mentions.

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   


  • RRID:SCR_016867

    This resource has 100+ mentions.

https://blake.bcm.edu/emanwiki/EMAN2

Software suite for processing data from transmission electron microscopes. Used in supercomputing facilities as a test application for large-scale computing. Used for single particle reconstruction, helical reconstruction, 2-D crystallography and whole-cell tomography.

Proper citation: EMAN (RRID:SCR_016867) Copy   


  • RRID:SCR_004950

    This resource has 500+ mentions.

http://www.mycobank.org/

Database documenting mycological nomenclatural novelties (new names and combinations) and associated data, for example descriptions and illustrations. The nomenclatural novelties will each be allocated a unique MycoBank number that can be cited in the publication where the nomenclatural novelty is introduced. These numbers will also be used by the nomenclatural database Index Fungorum, with which MycoBank is associated and will also serve as Life Science Identifiers (LSIDs). Nomenclatural experts will be available to check the validity, legitimacy and linguistic correctness of the proposed names in order to avoid nomenclatural errors; however, no censorship whatsoever, (nomenclatural or taxonomic) will be exerted by MycoBank. Deposited names will remain -when desired- strictly confidential until after publication, and will then be accessible through MycoBank, Index Fungorum, GBIF and other international biodiversity initiatives, where they will further be linked to other databases to realize a species bank that eventually will link all databases of life. MycoBank will (when applicable) provide onward links to other databases containing, for example, living cultures, DNA data, reference specimens and pleomorphic names linked to the same holomorph. Authors intending to publish nomenclatural novelties are encouraged to contribute to this new initiative. For the moment 2 search engines are available from the MycoBank website. The first one permits to search for fungal names (at any rank level), the authority or the MycoBank unique number. The second is dedicated to bibliographic queries related to fungal name''''s publications. MycoBank users willing to deposit their data will have to register so that they willbe able to contact the depositor for specific information (e.g. MycoBank number, possible points of attention regarding the name, actual publication, etc), and to avoid fake entries.

Proper citation: MycoBank (RRID:SCR_004950) Copy   


  • RRID:SCR_005375

    This resource has 10000+ mentions.

http://bejerano.stanford.edu/prism/public/html/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: PRISM (Stanford database) (RRID:SCR_005375) Copy   


  • RRID:SCR_005252

    This resource has 10+ mentions.

https://kepler-project.org/

Kepler is a software application for analyzing and modeling scientific data. Using Kepler''s graphical interface and components, scientists with little background in computer science can create executable models, called scientific workflows, for flexibly accessing scientific data (streaming sensor data, medical and satellite images, simulation output, observational data, etc.) and executing complex analyses on this data. Kepler is developed by a cross-project collaboration led by the Kepler/CORE team. The software builds upon the mature Ptolemy II framework, developed at the University of California, Berkeley. Ptolemy II is a software framework designed for modeling, design, and simulation of concurrent, real-time, embedded systems. The Kepler Project is dedicated to furthering and supporting the capabilities, use, and awareness of the free and open source, scientific workflow application, Kepler. Kepler is designed to help scien��tists, analysts, and computer programmers create, execute, and share models and analyses across a broad range of scientific and engineering disciplines. Kepler can operate on data stored in a variety of formats, locally and over the internet, and is an effective environment for integrating disparate software components, such as merging R scripts with compiled C code, or facilitating remote, distributed execution of models. Using Kepler''s graphical user interface, users simply select and then connect pertinent analytical components and data sources to create a scientific workflowan executable representation of the steps required to generate results. The Kepler software helps users share and reuse data, workflows, and compo��nents developed by the scientific community to address common needs. Kepler is a java-based application that is maintained for the Windows, OSX, and Linux operating systems. The Kepler Project supports the official code-base for Kepler development, as well as provides materials and mechanisms for learning how to use Kepler, sharing experiences with other workflow developers, reporting bugs, suggesting enhancements, etc. The Kepler Project Leadership Team works to assure the long-term technical and financial viability of Kepler by making strategic decisions on behalf of the Kepler user community, as well as providing an official and durable point-of-contact to articulate and represent the interests of the Kepler Project and the Kepler software application. Details about how to get more involved with the Kepler Project can be found in the developer section of this website.

Proper citation: Kepler (RRID:SCR_005252) Copy   


  • RRID:SCR_005397

    This resource has 10+ mentions.

http://www.bioextract.org/GuestLogin

An open, web-based system designed to aid researchers in the analysis of genomic data by providing a platform for the creation of bioinformatic workflows. Scientific workflows are created within the system by recording tasks performed by the user. These tasks may include querying multiple, distributed data sources, saving query results as searchable data extracts, and executing local and web-accessible analytic tools. The series of recorded tasks can then be saved as a reproducible, sharable workflow available for subsequent execution with the original or modified inputs and parameter settings. Integrated data resources include interfaces to the National Center for Biotechnology Information (NCBI) nucleotide and protein databases, the European Molecular Biology Laboratory (EMBL-Bank) non-redundant nucleotide database, the Universal Protein Resource (UniProt), and the UniProt Reference Clusters (UniRef) database. The system offers access to numerous preinstalled, curated analytic tools and also provides researchers with the option of selecting computational tools from a large list of web services including the European Molecular Biology Open Software Suite (EMBOSS), BioMoby, and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The system further allows users to integrate local command line tools residing on their own computers through a client-side Java applet.

Proper citation: BioExtract (RRID:SCR_005397) Copy   


  • RRID:SCR_005305

    This resource has 5000+ mentions.

http://hmmer.janelia.org/

Tool for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs). Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST.

Proper citation: Hmmer (RRID:SCR_005305) Copy   



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