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BioTuring Ecosystem

Algorithms.Data.Innovation

Empower scientists of all coding levels
for diverse single-cell and spatial omics research

When AI meets Biology

JULY 2024 WEBINAR

INTEGRATED ANALYSIS OF SINGLE CELL DATA
ACROSS TECHNOLOGIES, MODALITIES,
AND PERTURBATION

Wednesday,
July 24, 2024

9am PDT - 12pm EDT
6pm CEST

BBrowserX

BBrowserX allows scientists to easily analyze and visualize
single-cell data without coding background.
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bbrowserx

BioTuring Lens

BioTuring Lens helps scientists interactively analyse spatial data, from bulk to single-cell and sub-cellular resolution.
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Lens

Talk2Data

With Talk2Data, data queries and cross-study analysis on millions of cells from the BioTuring Database becomes effortless.
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bbrowserx

BioStudio

BioStudio integrates ready-to-use notebooks, tools, apps, and AI stacks, eliminating technical complexities.
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Our Algorithms

We are dedicated to harnessing the potential of high-performance computing to address challenges in the field of biology.

Alpha SC - Real-time
Single-cell Algorithm Suite

GPU-accelerated algorithms analyzing millions of cells in seconds
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Cell Type Prediction

Machine learning model for automatic cell type labeling built on the world’s largest curated single-cell transcriptomics database
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We are proud to serve scientists worldwide.

3000+ Scientists
70+ Companies
150+ Institutions
11+ Countries
author-avatar

Di Zhao,

Assistant Professor. UT MD Anderson Cancer Center

author-avatar

Daisuke Komura,

Assistant Professor, The University of Tokyo

Motoko Kimura,

Professor, Chiba University

Edoardo Giacopuzzi,

Senior Bioinformatics Technician, Genomics Research Centre, Human Technopole

Jonathan Yap PhD.,

Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine

author-avatar

Di Zhao,

Assistant Professor. UT MD Anderson Cancer Center

author-avatar

Daisuke Komura,

Assistant Professor, The University of Tokyo

Motoko Kimura,

Professor, Chiba University

Edoardo Giacopuzzi,

Senior Bioinformatics Technician, Genomics Research Centre, Human Technopole

Jonathan Yap PhD.,

Postdoctoral Fellow University of Hawaii, John A. Burns School of Medicine