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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 2 showing 21 ~ 40 out of 473 results
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  • RRID:SCR_000643

https://bitbucket.org/dkessner/forqs

Software for forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. It also also models quantitative traits and selection on those traits.

Proper citation: forqs (RRID:SCR_000643) Copy   


  • RRID:SCR_003169

    This resource has 10+ mentions.

http://www.broad.mit.edu/annotation/fungi/fgi/

Produces and analyzes sequence data from fungal organisms that are important to medicine, agriculture and industry. The FGI is a partnership between the Broad Institute and the wider fungal research community, with the selection of target genomes governed by a steering committee of fungal scientists. Organisms are selected for sequencing as part of a cohesive strategy that considers the value of data from each organism, given their role in basic research, health, agriculture and industry, as well as their value in comparative genomics.

Proper citation: Fungal Genome Initiative (RRID:SCR_003169) Copy   


http://www.sgn.cornell.edu/bulk/input.pl?modeunigene

Allows users to download Unigene or BAC information using a list of identifiers or complete datasets with FTP., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Sol Genomics Network - Bulk download (RRID:SCR_007161) Copy   


http://www.nber.org/papers/h0038

A dataset to advance the study of life-cycle interactions of biomedical and socioeconomic factors in the aging process. The EI project has assembled a variety of large datasets covering the life histories of approximately 39,616 white male volunteers (drawn from a random sample of 331 companies) who served in the Union Army (UA), and of about 6,000 African-American veterans from 51 randomly selected United States Colored Troops companies (USCT). Their military records were linked to pension and medical records that detailed the soldiers������?? health status and socioeconomic and family characteristics. Each soldier was searched for in the US decennial census for the years in which they were most likely to be found alive (1850, 1860, 1880, 1900, 1910). In addition, a sample consisting of 70,000 men examined for service in the Union Army between September 1864 and April 1865 has been assembled and linked only to census records. These records will be useful for life-cycle comparisons of those accepted and rejected for service. Military Data: The military service and wartime medical histories of the UA and USCT men were collected from the Union Army and United States Colored Troops military service records, carded medical records, and other wartime documents. Pension Data: Wherever possible, the UA and USCT samples have been linked to pension records, including surgeon''''s certificates. About 70% of men in the Union Army sample have a pension. These records provide the bulk of the socioeconomic and demographic information on these men from the late 1800s through the early 1900s, including family structure and employment information. In addition, the surgeon''''s certificates provide rich medical histories, with an average of 5 examinations per linked recruit for the UA, and about 2.5 exams per USCT recruit. Census Data: Both early and late-age familial and socioeconomic information is collected from the manuscript schedules of the federal censuses of 1850, 1860, 1870 (incomplete), 1880, 1900, and 1910. Data Availability: All of the datasets (Military Union Army; linked Census; Surgeon''''s Certificates; Examination Records, and supporting ecological and environmental variables) are publicly available from ICPSR. In addition, copies on CD-ROM may be obtained from the CPE, which also maintains an interactive Internet Data Archive and Documentation Library, which can be accessed on the Project Website. * Dates of Study: 1850-1910 * Study Features: Longitudinal, Minority Oversamples * Sample Size: ** Union Army: 35,747 ** Colored Troops: 6,187 ** Examination Sample: 70,800 ICPSR Link: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06836

Proper citation: Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) Copy   


  • RRID:SCR_008669

    This resource has 1000+ mentions.

http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:DelPhi

DelPhi provides numerical solutions to the Poisson-Boltzmann equation (both linear and nonlinear form) for molecules of arbitrary shape and charge distribution. The current version is fast, accurate, and can handle extremely high lattice dimensions. It also includes flexible features for assigning different dielectric constants to different regions of space and treating systems containing mixed salt solutions. DelPhi takes as input a coordinate file format of a molecule or equivalent data for geometrical objects and/or charge distributions and calculates the electrostatic potential in and around the system, using a finite difference solution to the Poisson-Boltzmann equation. DelPhi is a versatile electrostatics simulation program that can be used to investigate electrostatic fields in a variety of molecular systems. Features of DelPhi include solutions to mixtures of salts of different valence; solutions to different dielectric constants to different regions of space; and estimation of the best relaxation parameter at run time.

Proper citation: DelPhi (RRID:SCR_008669) Copy   


  • RRID:SCR_010668

    This resource has 50+ mentions.

http://uberon.org

An integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data. Uberon consists of over 10000 classes (March 2014) representing structures that are shared across a variety of metazoans. The majority of these classes are chordate specific, and there is large bias towards model organisms and human.

Proper citation: UBERON (RRID:SCR_010668) Copy   


http://hymao.org

A structured controlled vocabulary of the anatomy of the Hymenoptera (bees, wasps, sawflies and ants)

Proper citation: Hymenoptera Anatomy Ontology (RRID:SCR_003340) Copy   


  • RRID:SCR_002389

    This resource has 1+ mentions.

http://titan.biotec.uiuc.edu/bee/honeybee_project.htm

A database integrating data from the bee brain EST sequencing project with data from sequencing and gene research projects from other organisms, primarily the fruit fly Drosophila melanogaster. The goal of Bee-ESTdb is to provide updated information on the genes of the honey bee, currently using annotation primarily from flies to suggest cellular roles, biological functions, and evolutionary relationships. The site allows searches by sequence ID, EST annotations, Gene Ontology terms, Contig ID and using BLAST. Very nice resource for those interested in comparative genomics of brain. A normalized unidirectional cDNA library was made in the laboratory of Prof. Bento Soares, University of Iowa. The library was subsequently subtracted. Over 20,000 cDNA clones were partially sequenced from the normalized and subtracted libraries at the Keck Center, resulting in 15,311 vector-trimmed, high-quality, sequences with an average read length of 494 bp. and average base-quality of 41. These sequences were assembled into 8966 putatively unique sequences, which were tested for similarity to sequences in the public databases with a variety of BLAST searches. The Clemson University Genomics Institute is the distributor of these public domain cDNA clones. For information on how to purchase an individual clone or the entire collection, please contact www.genome.clemson.edu/orders/ or generobi (at) life.uiuc.edu.

Proper citation: Honey Bee Brain EST Project (RRID:SCR_002389) Copy   


  • RRID:SCR_002303

    This resource has 10+ mentions.

http://cgsc.biology.yale.edu/index.php

The CGSC Collection contains only non-pathogenic BSL-1 laboratory strains, primarily genetic derivatives of Escherichia coli K-12, the laboratory strain widely used in genetic and molecular studies, but a few B strains. The CGSC Database of E. coli genetic information includes genotypes and reference information for the strains in the CGSC collection, the names, synonyms, properties, and map position for genes, gene product information, and information on specific mutations and references to primary literature. The public version of the database includes this information and can be queried directly via this CGSC DB WebServer. The collection includes cultures of wild-type contributed from a number of laboratories and a few thousand derivatives carrying one or up to 29 mutations from among 3500 mutations in (or included in deletions spanning) more than 1300 different loci. Some combinations were constructed particularly for mapping purposes and are still used for teaching and for rapid localization, some for manifestation of a particular phenotype, some strains for transferring a particular region or for complementation analysis. Some plasmids, e.g., the Clarke and Carbon collection, F-primes, a number of toolkit plasmids, and a few classic plasmids are included, but it is not a comprehensive collection of plasmids. Additionally, we have recently acquired most of the strains from the Keio Collection of systematic individual gene knockout (deletion/kan insertion) strains.

Proper citation: CGSC (RRID:SCR_002303) Copy   


  • RRID:SCR_024480

https://github.com/danbider/lightning-pose

Software video centric package for direct video manipulation. Semi supervised animal pose estimation algorithm, Bayesian post processing approach and deep learning package. Improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools.

Proper citation: Lightning Pose (RRID:SCR_024480) Copy   


  • RRID:SCR_014769

    This resource has 10+ mentions.

http://krasnow1.gmu.edu/CENlab/software.html

Stochastic reaction-diffusion simulator in Java which is used for simulating neuronal signaling pathways.

Proper citation: NeuroRD (RRID:SCR_014769) Copy   


  • RRID:SCR_014259

    This resource has 10+ mentions.

https://web.njit.edu/~matveev/calc.html

A modeling tool for simulating intracellular calcium diffusion and buffering. CalC solves continuous reaction-diffusion PDEs describing the entry of calcium into a volume through point-like channels, and its diffusion, buffering and binding to calcium receptors. Its features include: being platform-independent; being operated by simple script; combinable with MATLAB; and providing real-time views. Demos and manuals are provided on the website.

Proper citation: CalC (RRID:SCR_014259) Copy   


  • RRID:SCR_016855

    This resource has 10+ mentions.

https://picrust.github.io/picrust/

Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.

Proper citation: PICRUSt (RRID:SCR_016855) Copy   


  • RRID:SCR_023223

    This resource has 1+ mentions.

https://github.com/caraweisman/abSENSE

Software to interpret undetected homolog.Method that calculates probability that homolog of given gene would fail to be detected by homology search in given species, even if homolog were present and evolving normally.

Proper citation: abSENSE (RRID:SCR_023223) Copy   


  • RRID:SCR_022975

https://github.com/compbiolabucf/PTNet

Graph based learning model for protein expression estimation by considering miRNA-mRNA interactions. Estimates protein levels by considering miRNA-mRNA interaction network, mRNA expression and miRNA expression.

Proper citation: PTNet (RRID:SCR_022975) Copy   


  • RRID:SCR_023602

    This resource has 1+ mentions.

https://github.com/DeNardoLab/BehaviorDEPOT

Software tool for automated behavioral detection based on markerless pose tracking. Behavioral analysis tool to first compile and clean point-tracking output from DeepLabCut, and then classify behavioral epochs using custom behavior classifiers. Used to detect frame by frame behavior from video time series and can analyze results of common experimental assays, including fear conditioning, decision-making in T-maze, open field, elevated plus maze, and novel object exploration. Calculates kinematic and postural statistics from keypoint tracking data from pose estimation software outputs.

Proper citation: BehaviorDEPOT (RRID:SCR_023602) Copy   


  • RRID:SCR_004389

    This resource has 1+ mentions.

http://cbl.uh.edu/ORION/research/software

ORION is our neuron reconstruction software package developed for the morphological reconstruction of neurons from confocal and multiphoton microscopy data. It accepts raw neuron stack data as input and it is capable of reconstructing the neuron structure, visualizing the output, and exporting the reconstruction in a variety of formats. We are developing tools that will enable Neuroscientists to explore single neuron function via sophisticated image analysis. Advanced optical imaging can produce both structural and functional data and is at the forefront of experimentally exploring the fast, small-scale dynamics of living neurons. Further, compartmental modeling of neuronal function enables rapid testing of hypotheses and estimating experimentally inaccessible parameters. Combining these two techniques will afford unprecedented capabilities in the study of single neuron function. Our software utility bridges the two Neuroscience techniques by rapidly, accurately, and robustly generating, from structural image data, a cylindrical morphology model suitable for simulating neuronal function.

Proper citation: ORION Software (RRID:SCR_004389) Copy   


  • RRID:SCR_006154

http://gocognitive.net/

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   


  • RRID:SCR_008882

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   


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   



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