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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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FlowCal Resource Report Resource Website 1+ mentions |
FlowCal (RRID:SCR_018140) | software application, software resource, data processing software | Open source software tool for automatically converting flow cytometry data from arbitrary to calibrated units. Can be run using intuitive Microsoft Excel interface, or customizable Python scripts. Software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Automatically gates data, calculates common statistics, and produces plots. | Converting flow cytometry data, arbitrary unit, calibrated unit, data gating, statistic, plot, data, bio.tools |
is listed by: Debian is listed by: bio.tools |
NSF EFRI 1137266; NSF MCB 1244135; Office of Naval Research MURI N000141310074; Office of Naval Research YIP N000141410487; NIAID R21 AI115014; Welch Foundation ; NSF Graduate Research Fellowship DGE 0940902; NDSEG Fellowship |
PMID:27110723 | Free, Available for download, Freely available | biotools:flowcal | https://bio.tools/flowcal | SCR_018140 | Python Flow Cytometry Calibration Library | 2026-07-26 09:07:12 | 5 | |||||
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Kourami Resource Report Resource Website 1+ mentions |
Kourami (RRID:SCR_022280) | software application, software resource, data processing software | Software graph guided assembly for novel human leukocyte antigen allele discovery. Graph guided assembly for HLA haplotypes covering typing exons using high coverage whole genome sequencing data.Implemented in Java and supported on Linux and Mac OS X. | graph guided assembly, novel human leukocyte antigen allele discovery, HLA alleles, HLA alleles assembly | Gordon and Betty Moore Foundation ; NSF CCF1256087; NSF CCF1319998; NHGRI R01HG007104 |
PMID:29415772 | Free, Available for download, Freely available | SCR_022280 | 2026-07-26 09:07:57 | 4 | |||||||||
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Rascaf Resource Report Resource Website 1+ mentions |
Rascaf (RRID:SCR_022014) | software application, software resource, data processing software | Software tool for scaffolding with RNA-seq read alignments. Used for improving genome assembly with RNA sequencing data. | Scaffolding, RNA-seq data, scaffolding with RNAseq read alignments, improving genome assembly, RNA sequencing data | NSF IOS1339134 | DOI:10.3835/plantgenome2016.03.0027 | Free, Available for download, Freely available | SCR_022014 | 2026-07-26 09:07:40 | 3 | |||||||||
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scrible Resource Report Resource Website |
scrible (RRID:SCR_008882) | scrible | software application, software resource | 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. | annotate, annotation, bookmarklet | NSF | Free | nlx_149634 | SCR_008882 | 2026-07-26 09:04:40 | 0 | ||||||||
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forqs Resource Report Resource Website |
forqs (RRID:SCR_000643) | forqs | software application, simulation software, software resource | 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. | c++, linux, osx, windows, command line, simulation, recombination, quantitative trait, selection, haplotype pattern |
is listed by: OMICtools has parent organization: University of California at Los Angeles; California; USA has parent organization: Bitbucket |
NHGRI HG002536; NHGRI R01 HG007089; NSF EF-0928690 |
PMID:24336146 | Free, Available for download, Freely available | OMICS_02196 | SCR_000643 | Forward-in-time simulation of Recombination, and Selection, Quantitative traits | 2026-07-27 09:31:00 | 0 | |||||
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Kepler Resource Report Resource Website 10+ mentions |
Kepler (RRID:SCR_005252) | Kepler | software application, workflow software, software resource, data processing software | 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. | software, workflow |
is listed by: SoftCite is related to: bioKepler has parent organization: University of California at Davis; California; USA has parent organization: University of California at Santa Barbara; California; USA has parent organization: University of California at San Diego; California; USA |
NSF 0722079 | nlx_144278 | SCR_005252 | Kepler Project | 2026-07-27 09:32:14 | 47 | |||||||
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DelPhi Resource Report Resource Website 1000+ mentions |
DelPhi (RRID:SCR_008669) | software application, simulation software, software resource | 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. | Poisson-Boltzmann equation, electrostatics, simulation software, mixed salt soluton |
has parent organization: Columbia University; New York; USA has parent organization: Howard Hughes Medical Institute |
NSF DBI-9904841 | nif-0000-33392 | SCR_008669 | 2026-07-27 09:33:09 | 1420 | |||||||||
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Planet Microbe Resource Report Resource Website 1+ mentions |
Planet Microbe (RRID:SCR_024478) | web application, software resource | Web based platform that enables data discovery from curated historical and on going oceanographic sequencing efforts. Enables discovery and integration of oceanographic ‘omics, environmental and physiochemical data layers. Used to centralize and standardize contextual data associated with major marine 'omic datasets. Used for marine microbiology to discover and analyze interconnected 'omics and environmental data. | data discovery, curated oceanographic sequencing, biological and physiochemical measurements, water samples, marine microbiology, discover and analyze interconnected 'omics and environmental data, | has parent organization: University of Arizona; Arizona; USA | NSF | PMID:32735679 | Free, Freely available | https://github.com/hurwitzlab/planet-microbe-app | SCR_024478 | 2026-07-27 09:37:11 | 2 | |||||||
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CloudReg Resource Report Resource Website |
CloudReg (RRID:SCR_022795) | software application, image analysis software, software resource, data processing software | Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. | brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts | is used by: BICCN | NIA R01 AG066184; NSF EEC 1707298; NIMH U19MH114821; Kavli Neuroscience Discovery Institute ; Karen Toffler Charitable Trust ; NIMH R01 MH099647; NIMH K08MH113039; NIDA 1K99DA050662; AP Giannini Foundation ; NINDS K99 NS116122; NIA P01AG009973; Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ; Microsoft Research |
PMID:34253927 | Free, Available for download, Freely available | https://github.com/neurodata/CloudReg/ | SCR_022795 | 2026-07-27 09:36:48 | 0 | |||||||
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Mutation Annotation and Genomic Interpretation Resource Report Resource Website |
Mutation Annotation and Genomic Interpretation (RRID:SCR_002800) | MAGI | analysis service resource, service resource, data analysis service, production service resource | A tool for annotating, exploring, and analyzing gene sets that may be associated with cancer. | mutation, interaction, transcript, copy number aberration, network |
uses: The Cancer Genome Atlas uses: HINT uses: HPRD - Human Protein Reference Database uses: Pfam uses: SMART uses: Conserved Domain Database is listed by: OMICtools has parent organization: Brown University; Rhode Island; USA |
Cancer | NSF ; NIH ; Brown University; Rhode Island; USA |
Free, Freely available, Available for download | OMICS_06145 | SCR_002800 | MAGI - A tool for Mutation Annotation and Genomic Interpretation | 2026-07-27 09:31:35 | 0 | |||||
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bioPIXIE Resource Report Resource Website 1+ mentions |
bioPIXIE (RRID:SCR_004182) | bioPIXIE | analysis service resource, service resource, data analysis service, production service resource | bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it). | prediction, bayesian network, probabilistic, interaction, network | has parent organization: Princeton University; New Jersey; USA | NHGRI T32 HG003284; NIGMS R01 GM071966; NHGRI R01 HG003471; NIGMS P50 GM071508; NSF DGE-9972930; NSF IIS-0513552 |
PMID:16420673 | nlx_20893 | SCR_004182 | biological Process Inference from eXperimental Interaction Evidence | 2026-07-27 09:31:57 | 1 | ||||||
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Fungal Genome Initiative Resource Report Resource Website 10+ mentions |
Fungal Genome Initiative (RRID:SCR_003169) | FGI | data or information resource, data set | 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. | sequence, fungi, gene annotation, genome |
is listed by: 3DVC has parent organization: Broad Institute |
NHGRI ; NSF ; NIAID ; USDA |
Free, Freely available | nif-0000-30591 | SCR_003169 | 2026-07-27 09:31:41 | 18 | |||||||
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Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets Resource Report Resource Website 1+ mentions |
Early Indicators of Later Work Levels Disease and Death (EI) - Union Army Samples Public Health and Ecological Datasets (RRID:SCR_008921) | Early Indicators of Later Work Levels Disease and Death, EI project | data or information resource, data set | 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 | late adult human, male, caucasian, african-american, veteran, military, medical, socioeconomic, civil war, american civil war, cause of death, census data, demographic, disease, health status, labor force, medical record, midlife, military pension, pension, military recruitment, military service, mortality rate, nineteenth century, nutrition, socioeconomic status, twentieth century, union army, census |
is related to: National Archive of Computerized Data on Aging (NACDA) has parent organization: University of Chicago; Illinois; USA |
Aging | NIA PO1 AG10120; NSF SBR 9114981 |
Publicly available from ICPSR; copies on CD-ROM may be obtained from the CPE, Which also maintains an interactive Internet Data Archive and Documentation Library. | nlx_151822 | http://www.cpe.uchicago.edu/ | SCR_008921 | Public Health and Ecological Datasets, Aging of Veterans of the Union Army, Early Indicators of Later Work Levels Disease and Death ������?? Union Army Samples | 2026-07-27 09:33:12 | 1 | ||||
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Sol Genomics Network - Bulk download Resource Report Resource Website |
Sol Genomics Network - Bulk download (RRID:SCR_007161) | data or information resource, data set | 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. | database, dataset, unigene, gene, bac, genomics, clone, array spot, unigene id, bac ends |
is related to: SGN has parent organization: Boyce Thompson Institute for Plant Research |
NSF 0820612; USDA CSREES |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30227 | SCR_007161 | SGN bulk download | 2026-07-27 09:32:45 | 0 | |||||||
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BioSimulations Resource Report Resource Website |
BioSimulations (RRID:SCR_018733) | web application, software resource | Web tool for sharing and re-using biomodels, simulations, and visualizations of simulations results. Supports variety of modeling frameworks including kinetic, constraint based, and logical modeling, model formats including BNGL, CellML, SBML, and simulation tools including COPASI, libRoadRunner/tellurium, NFSim, VCell. | Sharing, reusing, biomodel, simulation, visualization, simulation result, modeling framework support, simulation tool support, model format support, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA has parent organization: University of Connecticut; Connecticut; USA |
NIBIB P41 EB023912; NSF ; NIGMS |
Restricted | biotools:biosimulations | https://bio.tools/biosimulations | SCR_018733 | 2026-07-27 09:35:53 | 0 | |||||||
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NeuroRD Resource Report Resource Website 10+ mentions |
NeuroRD (RRID:SCR_014769) | software application, simulation software, software resource | Stochastic reaction-diffusion simulator in Java which is used for simulating neuronal signaling pathways. | simulation software, simulator, java, neuronal signaling pathway, neuron | HFSP ; NIMH K21-MH01141; NSF IBN 0077509; CRCNS program R01 AA16022; CRCNS program AA18066 |
Available for download | https://github.com/neurord/stochdiff/releases | SCR_014769 | 2026-07-27 09:34:43 | 13 | |||||||||
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T-REX Resource Report Resource Website 100+ mentions |
T-REX (RRID:SCR_010715) | T-REX | analysis service resource, service resource, data analysis service, production service resource | T-REX is a free, platform-independent online tool that allows for an integrated, rapid, and more robust analysis of T-RFLP data. Despite increasing popularity and improvements in terminal restriction fragment length polymorphism (T-RFLP) and other microbial community fingerprinting techniques, there are still numerous obstacles that hamper the analysis of these datasets. Many steps are required to process raw data into a format ready for analysis and interpretation. These steps can be time-intensive, error-prone, and can introduce unwanted variability into the analysis. Accordingly, we developed T-REX, free, online software for the processing and analysis of T-RFLP data. Analysis of T-RFLP data generated from a multiple-factorial study was performed with T-REX. With this software, we were able to i) label raw data with attributes related to the experimental design of the samples, ii) determine a baseline threshold for identification of true peaks over noise, iii) align terminal restriction fragments (T-RFs) in all samples (i.e., bin T-RFs), iv) construct a two-way data matrix from labeled data and process the matrix in a variety of ways, v) produce several measures of data matrix complexity, including the distribution of variance between main and interaction effects and sample heterogeneity, and vi) analyze a data matrix with the additive main effects and multiplicative interaction (AMMI) model. | has parent organization: Cornell University; New York; USA | Microsoft Corporation ; NSF DGE 0221658 |
PMID:19500385 | nlx_89468 | SCR_010715 | T-REX (T-RFLP analysis EXpedited), T-REX: Software for the processing and analysis of T-RFLP data, T-RFLP analysis EXpedited | 2026-07-27 09:33:42 | 119 | |||||||
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CRAVAT Resource Report Resource Website 10+ mentions |
CRAVAT (RRID:SCR_012776) | CRAVAT | analysis service resource, service resource, data analysis service, production service resource | A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis. |
is listed by: OMICtools has parent organization: Johns Hopkins University; Maryland; USA |
Cancer | NCI CA 152432; NSF DBI 0845275; NCI 1U01CA180956-01 |
OMICS_00147 | SCR_012776 | cancer-related analysis of variants toolkit | 2026-07-27 09:34:16 | 26 | |||||||
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ORION Software Resource Report Resource Website 1+ mentions |
ORION Software (RRID:SCR_004389) | service resource, software resource | 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. | has parent organization: University of Houston; Texas; USA | University of Houston; Texas; USA ; NIA RO1-AG027577; NSF IIS-0431144; NSF IIS-0638875; NSF DMS-0915242 |
nlx_40212 | SCR_004389 | 2026-07-27 09:32:00 | 1 | ||||||||||
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runBioSimulations Resource Report Resource Website 1+ mentions |
runBioSimulations (RRID:SCR_019110) | web application, software resource | Web tool for executing broad range of modeling studies and visualizing their results. Provides web interface for reusing any model. Models, simulations, and visualizations are available under licenses specified for each resource. | Executing modeling studies, visualization, model reusing, simulation, bio.tools |
uses: BioSimulators is listed by: bio.tools is listed by: Debian |
Center for Reproducible Biomodeling Modeling ; National Institute of Bioimaging and Bioengineering ; National Institute of General Medical Sciences ; NSF ; NIH |
Free, Freely available | biotools:runbiosimulations | https://bio.tools/runbiosimulations | SCR_019110 | 2026-07-27 09:35:55 | 3 |
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