Curator Dashboard

A multi-species R Shiny dashboard to view and monitor microhaplotype databases.

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• RRID
• 4 days ago - submitted by Moira Sheehan

Biotin–aminohexanoic acid–LPETGS–NH₂ is a synthetic peptide widely used in sortase A–mediated transpeptidation assays and proximity-based cell-interaction studies, notably in the LIPSTIC (Labeling Immune Partnerships by SorTagging Intercellular Contacts) methodology.

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• 5 days ago - submitted by James Chou

test 2

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• 1 week ago - submitted by Milena Vitale

lorem ipsum

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• 1 week ago - submitted by Milena Vitale

This is a software application for viewing images from multiplex fluorescent immunohistochemistry and immunohistochemistry scans, developed by China Servicebio.

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• 1 week ago - submitted by Guangzhao Pan

Alpathwell@ is a digital pathology image analysis software based on artificial intelligence, developed by Servicebio@. It utilizes AI deep learning principles, trains its algorithms using massive amounts of data, and integrates these capabilities into automated image analysis software.

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• 1 week ago - submitted by Guangzhao Pan

Alpathwell@ is a digital pathology image analysis software based on artificial intelligence, developed by Servicebio@. It utilizes AI deep learning principles, trains its algorithms using massive amounts of data, and integrates these capabilities into automated image analysis software.

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• RRID
• 1 week ago - submitted by Guangzhao Pan

Alpathwell@ is a digital pathology image analysis software based on artificial intelligence, developed by Servicebio@. It utilizes AI deep learning principles, trains its algorithms using massive amounts of data, and integrates these capabilities into automated image analysis software.

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• 1 week ago - submitted by Guangzhao Pan

LyricsWeb is a music-metadata database and research resource that provides searchable catalogue records and publishes versioned aggregate datasets for reproducible research on song-title structure, originality, reuse, and language-label diversity. Public research releases contain aggregate data and documentation only; they do not redistribute song lyrics, audio, personal data, source code, or item-level proprietary catalogue records.

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• 1 week ago - submitted by Kobi Eliraz

Research infrastructure for understanding sleep and mental health in youth.

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• 2 weeks ago - submitted by Cristal Medeiros

FISH Assay to determine MET GCN and MET/CEN7 ratio in FFPE samples

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• 3 weeks ago - by Anonymous

This is a test

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• 3 weeks ago - submitted by Ko-Wei Lin

Desktop application for operating Phenome Technologies circadian cabinets, running wheel cages and automated feeders in animal research facilities. PhenomeLab runs on Windows, macOS and Linux (x86-64 and arm64) and connects to cabinet and feeder hardware over a two-wire RS485 interface. It provides live monitoring of temperature, humidity and light level in each cabinet, per-cabinet light scheduling (multi-day light/dark schedules, custom T-cycles and intensity settings), and automated feeder scheduling and status monitoring with error logging. Running-wheel activity is imported from ClockLab (.clklb) files and displayed per subject as activity plots and actograms. Data are stored as CSV files for downstream analysis and can be sent to the PhenomeStudio server platform for centralized monitoring. PhenomeLab is distributed as a self-contained application with no runtime or installer dependencies and supports online or offline activation.

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• 1 month ago - submitted by Nathan Skinner

delete this test

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• 1 month ago - submitted by Anita Bandrowski

AutoDiscovery is a specialized exploratory data analysis (EDA) and automated hypothesis generation platform developed by Butler Scientifics. Designed specifically for translational medicine, biomarker discovery, and clinical researchers, it systematically explores multivariable relationships, performs automated hypothesis testing, applies False Discovery Rate (FDR) and Benjamini-Hochberg corrections to prevent false discovery, and produces auditable analytical reports. It supports clinical cohort screening, stratification analysis, and exploratory analysis of high-dimensional biomedical data.

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• 1 month ago - submitted by Ray G. Butler

glmtrust is an open-source Python package for auditing comparisons of variant effect predictors, or any scorers, that decline to score some inputs. For each scorer on a labelled panel it reports reach (the share of variants it scores, by class), its AUROC on the pairs it scores, pair coverage, the must-answer AUROC that charges every declined pair at one half, and sharp partial-identification bounds on the AUROC it would reach had it scored every variant; it then reports which pairwise comparisons those bounds can decide. A second layer turns a score into a calibrated probability, a conformal prediction set and a selective call that abstains when the model is not confident. It accompanies the GigaScience article 'Auditing variant effect predictor comparisons for missing scores: a reach resource for 49 predictors and nine amniote species'.

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• 1 month ago - submitted by VARUNKUMAR ASEDIYA

Platform for Digital Pathology in Research and Clinical Practice

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• 1 month ago - submitted by Max Schmidt

Three-dimensional brain reference atlas based on the RIKEN25v1 MRI-derived template, based on an average of C. jacchus brains resampled to 70 um3 voxel resolution. It provides detailed parcellations of the basal ganglia and associated subcortical structures, annotated using the Harmonized Ontology of Mammalian Brain Anatomy (HOMBA) unified ontology that enables cross-species alignment and interpretation. The atlas also includes selected published subcortical parcellations to aid in comparing across parcellation schemes.

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• SciCrunch
• 1 month ago - submitted by Edyta Vieth

This is a test - DELETE

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• 1 month ago - submitted by Nate Herzog

HistoMetriX is a quantitative histology and digital pathology image analysis software for biomedical research. It enables AI-assisted tissue segmentation, cell detection and classification, biomarker quantification, morphological and intensity measurements, and spatial analysis from brightfield and fluorescence microscopy images, including whole-slide images and tissue microarrays. Custom deep-learning models can be trained to identify tissue structures and biological phenotypes specific to a study.

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• 1 month ago - submitted by Victor Racine