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https://git.io/vAeKZ

It is non-graphical user interface in MATLAB which relies on keyboard callback functions. Used for analyzing big data sets.

Proper citation: ROIs selection with a non-graphical user interface (RRID:SCR_016352) Copy   

•   Source: SciCrunch Registry

http://structuralbiology.cau.edu.cn/PlantGSEA/

Websever for gene set enrichment analysis of plants. Used for interpreting biological meaning of a list of genes by computing the overlaps with various previously defined gene sets.

Proper citation: PlantGSEA (RRID:SCR_016866) Copy   

•   Source: SciCrunch Registry

http://www.mqtldb.org/

Data collection of large scale genome wide DNA methylation analysis of 1,000 mother-child pairs at serial time points across life course (ARIES).

Proper citation: mqtldb (RRID:SCR_018002) Copy   

•   Source: SciCrunch Registry

http://www.primervfx.com/#welcome

PrimerParadise is an online PCR primer database for genomics studies. The database contains predesigned PCR primers for amplification of exons, genes and SNPs of almost all sequenced genomes. Primers can be used for genome-wide projects (resequencing, mutation analysis, SNP detection etc). The primers for eukaryotic genomes have been tested with e-PCR to make sure that no alternative products will be generated. Also, all eukaryotic primers have been filtered to exclude primers that bind excessively throughout the genome. Genes are amplified as amplicons. Amplicons are defined as only one genes exons containing maximaly 3000 bp long dna segments. If gene is longer than 3000 bp then it is split into the segments at length 3000 bp. So for example gene at length 5000 bp is split into two segment and for both segments there were designed a separate primerpair. If genes exons length is over 3000 bp then it is split into amplicons as well. Every SNP has one primerpair. In addition of considering repetitive sequences and mono-dinucleotide repeats, we avoid designing primers to genome regions which contain other SNPs. -There are two ways to search for primers: you can use features IDs ( for SNP primers Reference ID, for gene/exon primers different IDs (Ensembl gene IDs, HUGO IDs for human genes, LocusLink IDs, RefSeq IDs, MIM IDs, NCBI gene names, SWISSPROT IDs for bacterial genes, VEGA gene IDs for human and mouse, Sanger S.pombe systematic gene names and common gene names, S.cerevisiae GeneBanks Locus, AccNo, GI IDs and common gene names) -you can use genome regions (chromosome coordinates, chromosome bands if exists) -Currently we provide 3 primers collections: proPCR for prokaryotic organisms genes primers -euPCR for eukaryotic organisms genes/exons primers -snpPCR for eukaryotic organisms SNP primers Sponsors: PrimerStudio is funded by the University of Tartu.

Proper citation: PrimerStudio (RRID:SCR_008232) Copy   

•   Source: SciCrunch Registry

http://locustdb.genomics.org.cn/

The migratory locust (Locusta migratoria) is an orthopteran pest and a representative member of hemimetabolous insects. Its transcriptomic data provide invaluable information for molecular entomology study of the insect and pave a way for comparative studies of other medically, agronomically, and ecologically relevant insects. This first transcriptomic database of the locust (LocustDB) has been developed, building necessary infrastructures to integrate, organize, and retrieve data that are either currently available or to be acquired in the future. It currently hosts 45,474 high quality EST sequences from the locust, which were assembled into 12,161 unigenes. This database contains original sequence data, including homologous/orthologous sequences, functional annotations, pathway analysis, and codon usage, based on conserved orthologous groups (COG), gene ontology (GO), protein domain (InterPro), and functional pathways (KEGG). It also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. LocustDB also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. It starts with the first transcriptome information for an orthopteran and hemimetabolous insect and will be extended to provide a framework for incorporation of in-coming genomic data of relevant insect groups and a workbench for cross-species comparative studies.

Proper citation: Migratory Locust EST Database (RRID:SCR_008201) Copy   

•   Source: SciCrunch Registry

http://www.schematikon.org/Nh3D.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It is freely available as a reference dataset for the statistical analysis of sequence and structure features of proteins in the PDB. It is a dataset of structurally dissimilar proteins. This dataset has been compiled by selecting well resolved representatives from the Topology level of the CATH database which hierarchically classifies all protein structures. These have been been pruned to remove: i) domains that may contain homologous elements (by pairwise sequence comparison and structural superposition of aligned residues) ii) internal duplications (by repeat detection) iii) regions with high B-Factor The statistical analysis of protein structures requires datasets in which structural features can be considered independently distributed, i.e. not related through common ancestry, and that fulfill minimal requirements regarding the experimental quality of the structures it contains. However, non-redundant datasets based on sequence similarity invariably contain distantly related homologues. Here a reference dataset of non-homologous protein domains is provided, assuming that structural dissimilarity at the topology level is incompatible with recognizable common ancestry. It contains the best refined representatives of each Topology level, validates structural dissimilarity and removes internally duplicated fragments. The compilation of Nh3D is fully scripted. The current Nh3D list contains 570 domains with a total of 90780 residues. It covers more than 70% of folds at the Topology level of the CATH database and represents more than 90% of the structures in the PDB that have been classified by CATH. Even though all protein pairs are structurally dissimilar, some pairwise sequence identities after global alignment are greater than 30%. Nh3D is freely available as a reference dataset for the statistical analysis of sequence and structure features of proteins in the PDB.

Proper citation: Nh3D: A Reference Dataset of Structures of Non-homologous Proteins (RRID:SCR_008212) Copy   

•   Source: SciCrunch Registry

http://www.cs.tau.ac.il/~spike/

Database of curated human signaling pathways with an associated interactive software tool for analysis and dynamic visualization of pathways. Individual pathway maps can be viewed and downloaded; the entire database may be browsed, or launched via a map viewer tool that allows dynamic visualization of the database and save networks in XGMML format that can be viewed in all generic XGMML viewers. Map Topics * Cell cycle progress and check points * DNA damage response * Programmed cell death related processes * Stress-activated transcription factors * Mitogen-activated protein kinase pathways * Immune response signaling * HEarSpike: hearing related pathways

Proper citation: SPIKE (RRID:SCR_010466) Copy   

•   Source: SciCrunch Registry

https://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 29,2025. Electroencephalogram (EEG) data recorded from invasive and scalp electrodes. The EEG database contains invasive EEG recordings of 21 patients suffering from medically intractable focal epilepsy. The data were recorded during an invasive pre-surgical epilepsy monitoring at the Epilepsy Center of the University Hospital of Freiburg, Germany. In eleven patients, the epileptic focus was located in neocortical brain structures, in eight patients in the hippocampus, and in two patients in both. In order to obtain a high signal-to-noise ratio, fewer artifacts, and to record directly from focal areas, intracranial grid-, strip-, and depth-electrodes were utilized. The EEG data were acquired using a Neurofile NT digital video EEG system with 128 channels, 256 Hz sampling rate, and a 16 bit analogue-to-digital converter. Notch or band pass filters have not been applied. For each of the patients, there are datasets called ictal and interictal, the former containing files with epileptic seizures and at least 50 min pre-ictal data. the latter containing approximately 24 hours of EEG-recordings without seizure activity. At least 24 h of continuous interictal recordings are available for 13 patients. For the remaining patients interictal invasive EEG data consisting of less than 24 h were joined together, to end up with at least 24 h per patient. An interdisciplinary project between: * Epilepsy Center, University Hospital Freiburg * Bernstein Center for Computational Neuroscience (BCCN), Freiburg * Freiburg Center for Data Analysis and Modeling (FDM).

Proper citation: Electroencephalogram Database: Prediction of Epileptic Seizures (RRID:SCR_008032) Copy   

•   Source: SciCrunch Registry

http://confocal.uconn.edu

Facility provides training and access to advanced light microscopy systems at an hourly rate. In addition, we are available to consult with and support users at every stage of a project including: experimental design, sample preparation, image acquisition, analysis, and data preparation.

Proper citation: University of Connecticut Advanced Light Microscopy Core Facility (RRID:SCR_027547) Copy   

•   Source: SciCrunch Registry

http://www.mtu.edu/mcff

Core facility provides tools for imaging, analysis, environmental testing, and micro/nanofabrication. Offers data, expertise, and hands-on training. From advanced materials to environmental systems, MCFF is the hub where discovery meets precision.

Proper citation: Michigan Technological University Materials Characterization and Fabrication Core Facility (RRID:SCR_027872) Copy   

•   Source: SciCrunch Registry

http://nmr.chem.cornell.edu

Core specializes in the analysis of small organic and organometallic analytes. Provides access to mass spectrometers for all.

Proper citation: Cornell University Chemistry MS Core Facility (RRID:SCR_028079) Copy   

•   Source: SciCrunch Registry

https://singlecell.pitt.edu/

Core offers single cell sequencing. Provides analysis of transcriptomics, proteomics and epigenomics at single cell level. Provides comprehensive approach for cell characterization and gene expression profiling. Services include single cell gene expression, immune profiling, ATAC, and multiome analysis.

Proper citation: University of Pittsburgh Single Cell Core Facility (RRID:SCR_025110) Copy   

•   Source: SciCrunch Registry

https://shop.sartorius.com/ca/p/incucyte-ai-cell-health-analysis-software-module/BA-04871#

Software for analysis to determine live versus dead cells – no fluorescent dyes needed.

Proper citation: Incucyte Cell-By-Cell Analysis Software Module (RRID:SCR_025367) Copy   

•   Source: SciCrunch Registry

https://www.biochem.mpg.de/mass_spectrometry

Mass spectrometry core facility. Facility uses chromatography systems, mass spectrometers and workflows for in-depth analysis of biomolecules.

Proper citation: Max Planck Institute of Biochemistry Mass Spectrometry Core Facility (RRID:SCR_025745) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/jrobust/

Software application for analysis of force microscopy recordings, including images and force curves. Allows for fast and reliable processing of single force curves and force maps, providing estimation of mechanical properties of sample.

Proper citation: AtomicJ (RRID:SCR_026023) Copy   

•   Source: SciCrunch Registry

https://jmorp.megabank.tohoku.ac.jp/

Japanese multi omics reference panel. Provides multidimensional approach to diversity of Japanese population. Public database for plasma metabolome and proteome analyses. Updated to metabolome, genome, transcriptome, metagenome, number of samples, analysis methods of each dataset, expanding links between each layer and links between hierarchies.

Proper citation: jMORP (RRID:SCR_024755) Copy   

•   Source: SciCrunch Registry

https://www.seattlechildrens.org/research/resources/behavioral-phenotyping-core/

Core dedicated to the protocol driven collection, analysis, and reporting of behavioral data using a blend of classic and innovative assays. Supports neuroscience, psychology, pharmacology, genetics, cancer, and development by providing advanced tools and expertise for the precise measurement and interpretation of behavior.

Proper citation: Seattle Childrens Research Institute Behavioral Phenotyping Core Facility (RRID:SCR_026371) Copy   

•   Source: SciCrunch Registry

https://www.bioconductor.org/packages/release/bioc/html/singleCellTK.html

Software R package provides interface to popular tools for importing, quality control, analysis, and visualization of single cell RNA-seq data. Allows users to integrate tools from various packages at different stages of analysis workflow.

Proper citation: singleCellTK (RRID:SCR_026813) Copy   

•   Source: SciCrunch Registry

https://biophy.uchicago.edu/

Core provides access to biophysics equipment, integral to research community at University of Chicago.Provides tools, training, and assistance for quantitative analysis of macromolecules and their interactions. Instruments include Seahorse XFe-96 Extracellular Flux Analyzer,Jasco J-1500 CD Spectrometer,Synergy Neo HST Plate Reader,Wyatt DAWN HELEOS II SLS,Wyatt DynaPro Plate Reader DLS,Wyatt DynaPro NanoStar DLS,HORIBA Fluorolog-3,Microcal iTC200,Molecular Imager,Bio-Rad ProteOn XPR to Biacore 8K,Agilent 8453 Spectrophotometer. Core provides staff assistance in conducting experiments.

Proper citation: Chicago University Biophysics Core Facility (RRID:SCR_017915) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/microscopy/

Core provides training, assistance and services in light microscopy, electron microscopy and image analysis. UNC core facility that is part of Department of Pathology and Laboratory Medicine, and are light microscopy core for Lineberger Comprehensive Cancer Center.

Proper citation: University of North Carolina at Chapel Hill Microscopy Services Laboratory Core Facility (RRID:SCR_017913) Copy   

•   Source: SciCrunch Registry