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BioTuring

BioTuring provides a suite of bioinformatics platforms, including BBrowserX and BioTuring Lens, that utilize deep learning algorithms for single-cell and spatial omics data analysis. These tools enable researchers to efficiently analyze and visualize complex biological data, significantly reducing the time required for data interpretation and enhancing insights into cellular interactions.

San Diego, United StatesFounded 2016445K+ followers
Updated 4 months ago

Funding

$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Analyzing and visualizing complex single-cell and spatial omics data requires specialized bioinformatics tools and expertise, often creating a bottleneck for researchers. Interpreting large datasets and extracting meaningful insights from cellular interactions can be time-consuming and computationally intensive.

Solution

BioTuring provides a suite of bioinformatics platforms designed to streamline the analysis and visualization of multi-omics and spatial biology data. Their platforms, including BBrowserX, BioTuring Lens, Talk2Data, BioStudio and SpatialX, leverage deep learning algorithms to enable researchers to efficiently process and interpret complex biological datasets. These tools offer user-friendly interfaces and GPU-accelerated algorithms, reducing the need for extensive coding knowledge and accelerating the time to insight. By integrating ready-to-use notebooks, tools, apps, and AI stacks, BioTuring simplifies the bioinformatics workflow, allowing scientists to focus on biological discovery.

Target Audience

BioTuring's platforms are designed for scientists and researchers in pharmaceutical companies, research institutions, and biotechnology firms who work with single-cell, spatial omics, and multi-omics data.

Features

  • BBrowserX: Single-cell analytics platform for easy analysis and visualization of single-cell data without coding.
  • BioTuring Lens: Spatial omics analytics platform for interactive analysis of spatial data, from bulk to single-cell and sub-cellular resolution.
  • Talk2Data: Single-cell and spatial analytics hub for data queries and cross-study analysis on millions of cells from the BioTuring Database.
  • BioStudio: All-in-one bioinformatics platform integrating ready-to-use notebooks, tools, apps, and AI stacks.
  • SpatialX: Unified multi-technology spatial analysis platform.
  • Alpha SC: GPU-accelerated single-cell algorithm suite for analyzing millions of cells in seconds.
  • Cell Type Prediction: Machine learning model for automatic cell type labeling built on a curated single-cell transcriptomics database.
  • Turing Segment: High-performance Cellpose algorithm for cell segmentation, optimized for speed and memory efficiency.
This profile is AI-generated and may contain inaccuracies.