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http://crn2m.univ-mrs.fr/pub/recherche/equipe-t-brue/jullien-nicolas/programmation/amplifx/?lang=fr

A software for managing, testing, and drawing primers. The software can locate primers for target sequences, calculate the quality score, predict amplified fragments and dimers, and create graphic representations of the primers.

Proper citation: AmplifX (RRID:SCR_014465) Copy   

•   Source: SciCrunch Registry
  

http://www.proteomesoftware.com/products/scaffold/

Software for MS/MS proteomic experiments to compare samples, identify biological relevance, and identify isoforms and protein PTMs. These proteins can be classified based on molecular function or organelle. Users can investigate spectrum details and counts, as well as use high through-put batch processing. Tutorials and a free trial are available through the main site., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Scaffold Proteome Software (RRID:SCR_014345) Copy   

•   Source: SciCrunch Registry
  

http://interactome.baderlab.org/

Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies.

Proper citation: Human Reference Protein Interactome Project (RRID:SCR_015670) Copy   

•   Source: SciCrunch Registry
  

http://www.plexdb.org/index.php

PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets.

Proper citation: PLEXdb - Plant Expression Database (RRID:SCR_006963) Copy   

•   Source: SciCrunch Registry
  

http://hdbase.org/cgi-bin/welcome.cgi

A community website for Huntington''s Disease (HD) research that currently contains Y2H and Mass spectrometry protein-protein interaction data centered around the HD protein (huntingtin) and information on therapeutic studies in mouse. Also available are raw Human and Mouse Affymetrix Microarray data. The protein interaction data is from several sources, including interactions curated from the literature by ISB staff, experimentally determined interactions produced by Bob Hughes and colleagues at Prolexys (currently password protected), and interactions reported in a recent publication by Goehler et al from Eric Wanker''s lab. Content areas that may be covered by the site include the following: * Therapeutic studies in mouse, primarily drug screens. * HD mouse models with a focus on timelines of disease progression. * Antibodies used in HD research. * Microarray gene expression studies. * Genes and proteins relevant to HD research. This includes HD itself, the growing list of proteins thought to interact directly or indirectly with huntingtin (Htt), and other genes and proteins implicated in the disease process. * Molecular pathways thought to be involved in the disease process. * Timelines of disease for Mouse models

Proper citation: HDBase (RRID:SCR_007132) Copy   

•   Source: SciCrunch Registry
  

http://cytoseg.googlecode.com

A tool for automatic segmentation of 3D biological datasets, with emphasis on 3D electron microscopy. It works best for 3D blob shaped objects like mitochondria, lysosomes, etc. The project is written in Python and uses the pythonxy platform (which includes scipy and ITK image processing tools).

Proper citation: Cytoseg (RRID:SCR_009553) Copy   

•   Source: SciCrunch Registry
  

http://www.uams.edu/pharmtox/default.asp

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 25,2022. Department of Pharmacology and Toxicology is the professional home to 18 faculty, 11 research faculty, 22 graduate students and 3 postdoctoral fellows. They offer graduate training leading to the Ph.D. degree in Pharmacology or Interdisciplinary Toxicology. Their faculty also participate in the Interdisciplinary Biological Sciences (IBS) training programs. Trainees receive a broad-based education to prepare for a career in translational research. An emphasis on therapeutic development, identification of drug targets and mechanisms of organ injury prepare our trainees for a career in drug discovery and medical toxicology. All of our students currently receive a $24,000 yearly stipend and we pay tuition! Their 'magnet areas' for research include behavioral and drug abuse pharmacology, drug discovery and antibody therapeutics, mechanisms and therapies of organ toxicology and neurodegenerative diseases, and CNS and vascular ion channels. Extramural research funding obtained by the faculty has increased to more than 5 million annually, and the Department ranks in the top quarter of all medical school pharmacology departments in the country in NIH funding.

Proper citation: University of Arkansas for Medical Sciences Department of Pharmacology and Toxicology (RRID:SCR_007496) Copy   

•   Source: SciCrunch Registry
  

http://asaim.readthedocs.io

Software that analyzes intestinal microbiota data. This environment is composed of a framework to process and analyze microbiota data from raw sequences to taxonomic and functional assignations.

Proper citation: ASaiM (RRID:SCR_015878) Copy   

•   Source: SciCrunch Registry
  

http://www.scienceexchange.com/facilities/michigan-state-university

An Portal, Core facility

Proper citation: Michigan State University Labs and Facilities (RRID:SCR_012252) Copy   

•   Source: SciCrunch Registry
  

http://www.digitalfishlibrary.org/index.php

A database of 3D magnetic resonance (MRI) images of fish accessible to scientists, educators and the general public via the web. The Marine Vertebrate Collection at the Scripps Institution of Oceanography provides the majority of the DFL specimens.

Proper citation: Digital Fish Library (RRID:SCR_008338) Copy   

•   Source: SciCrunch Registry
  

https://www.med.unc.edu/psych/research/niral/download/software-pages/fibertracking

A cross-platform system for exploring diffusion tensor images and to reconstruct fiber tracts between two regions of interest, intended for tdoctors, medical technicians or medical researchers. The Fiber-Tracking tool allows the user to load data from MRIs or similar images (like a basic 3D image viewer), load DTI datasets (7 diffusion- weighted images), calculate the fractional anisotropy (FA) and the mean diffusivity (MD) images, and also load ROIs to reconstruct fibers.

Proper citation: Fiber Tracking / DTI Checker (RRID:SCR_007364) Copy   

•   Source: SciCrunch Registry
  

http://rarediseases.info.nih.gov/GARD/Default.aspx

Genetic and Rare Diseases Information Center (GARD) is a collaborative effort of two agencies of the National Institutes of Health, The Office of Rare Diseases Research (ORDR) and the National Human Genome Research Institute (NHGRI) to help people find useful information about genetic conditions and rare diseases. GARD provides timely access to experienced information specialists who can furnish current and accurate information about genetic and rare diseases. So far, GARD has responded to 27,635 inquiries on about 7,147 rare and genetic diseases. Requests come not only from patients and their families, but also from physicians, nurses and other health-care professionals. GARD also has proved useful to genetic counselors, occupational and physical therapists, social workers, and teachers who work with people with a genetic or rare disease. Even scientists who are studying a genetic or rare disease and who need information for their research have contacted GARD, as have people who are taking part in a clinical study. Community leaders looking to help people find resources for those with genetic or rare diseases and advocacy groups who want up-to-date disease information for their members have contacted GARD. And members of the media who are writing stories about genetic or rare diseases have found the information GARD has on hand useful, accurate and complete. GARD has information on: :- What is known about a genetic or rare disease. :- What research studies are being conducted. :- What genetic testing and genetic services are available. :- Which advocacy groups to contact for a specific genetic or rare disease. :- What has been written recently about a genetic or rare disease in medical journals. GARD information specialists get their information from: :- NIH resources. :- Medical textbooks. :- Journal articles. :- Web sites. :- Advocacy groups, and their literature and services. :- Medical databases.

Proper citation: Genetic and Rare Diseases Information Center (RRID:SCR_008695) Copy   

•   Source: SciCrunch Registry
  

http://www.pharm.stonybrook.edu/

The Department ofPharmacological Sciencesat Stony Brook offers a collegial atmosphere with one of the highest ratios of postdoctoral to predoctoral researchers of any Pharmacology Department in the country. Students in Molecular and Cellular Pharmacology work alongside students from several other graduate programs at Stony Brook, including Molecular and Cellular Biology, Neurobiology, Chemistry, Genetics, Microbiology, Structural Biology, and Physiology and Biophysics. Several students in Molecular and Cellular Pharmacology have been trainees in the NIH-funded MSTP (Medical Scientist Training Program).

Proper citation: SUNY Stony Brook, Pharmacological Sciences (RRID:SCR_007480) Copy   

•   Source: SciCrunch Registry
  

http://immunostar.com/

An Antibody supplier

Proper citation: ImmunoStar (RRID:SCR_013473) Copy   

•   Source: SciCrunch Registry
  

http://erilllab.umbc.edu/research/software/xfitom/

A fully customizable program that uses a graphical user interface to locate transcription factor-binding sites in genomic sequences. xFITOM scans DNA or RNA sequences for putative binding sites as defined by a collection of aligned known sites, a consensus sequence in IUPAC degenerate-base format, or a combination of the two.

Proper citation: xFITOM (RRID:SCR_014445) Copy   

•   Source: SciCrunch Registry
  

https://www.niaid.nih.gov/diseases-conditions/coronaviruses

Information about coronaviruses, including COVID-19. NIAID provides research funding and resources for scientific community to facilitate development of vaccines, therapeutics, and diagnostics for infectious diseases, including those caused by coronaviruses.

Proper citation: NIAID Overview of Coronaviruses (RRID:SCR_018290) Copy   

•   Source: SciCrunch Registry
  

https://github.com/davidaknowles/leafcutter/

Software tool for identifying and quantifying RNA splicing variation. Used to study sample and population variation in intron splicing. Identifies variable intron splicing events from short read RNA-seq data and finds alternative splicing events of high complexity. Used for detecting differential splicing between sample groups, and for mapping splicing quantitative trait loci (sQTLs).

Proper citation: LeafCutter (RRID:SCR_017639) Copy   

•   Source: SciCrunch Registry
  

https://github.com/nservant/HiC-Pro

Software tool as optimized and flexible pipeline for Hi-C data processing. Used to process Hi-C data, from raw fastq files, paired end Illumina data, to normalized contact maps.

Proper citation: HiC-Pro (RRID:SCR_017643) Copy   

•   Source: SciCrunch Registry
  

http://thunder-project.org/

Software package for the analysis of image and time series data in Python. Provides data structures and algorithms for loading, processing, and analyzing these data. Runs locally or against a Spark cluster with an identical API.

Proper citation: Thunder (RRID:SCR_016556) Copy   

•   Source: SciCrunch Registry
  

https://CRAN.R-project.org/package=emmeans

Software R package to obtain estimated marginal means for linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays.

Proper citation: emmeans (RRID:SCR_018734) Copy   

•   Source: SciCrunch Registry