Blog

Given a spatial slide with cell type annotations, the goal is to identify regions with homogeneous cell type compositions. For example, with a slide containing two distinct cell types, we aim to identify regions such as: Region 1: only cell type A Region 2: composed of both cell type A Read More

Cell type annotation is a critical step in scRNA-seq data analysis that allows scientists to gain deeper insight into identifying the cell types that drive a biological process. However, the task of accurately assigning cell type labels to individual cells remains a challenge due to the need to navigate the Read More

Colorectal cancer (CRC) is the third most prevalent cancer and the second leading cause of cancer-related deaths worldwide [1]. Progressive plasticity refers to the ability of cancerous cells to adapt their state, phenotype, and molecular characteristics in response to environmental stimuli. This plasticity significantly contributes to the metastasis of cancerous Read More

This blog highlights a case study [1] using single-cell RNA sequencing (scRNA-seq) to investigate associations between prurigo nodularis (PN) and skin cancer risk, featuring insights via BioTuring‘s  BBrowserX and Talk2Data platforms. A mini-webinar is available on the BioTuring Team’s channel. What is prurigo nodularis? Read More

Authors: BioTuring Team Spatial omics have revolutionized our understanding of gene expression patterns across tissues and organs, enabling the study of spatial domains—regions defined by distinct biological processes and cell type compositions. Here, we present a novel approach for detecting spatial domains using Weighted Gene Co-expression Network Analysis (WGCNA-https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559) Read More

TLDR: We released a specialized model of TuringSegment for H&E images. Our model outperforms the original Cellpose model by a large margin, achieving approximately 40 percentage points higher AP50 on the Panuke and 48 for Nuinsseg datasets, and 43 percentage points higher on the Monuseg dataset. The model has been Read More

TLDR: We optimized Cellpose to be 300x faster and 23x more memory-efficient in 2D without compromising accuracy. We also developed an efficient algorithm to stitch series of 2D segmentations into 3D segmentations, and obtained 400x speedup in time, and 300x less memory consumption. We named the new tool as Read More

At BioTuring, we believe in fostering a well-rounded and fulfilling work environment. That’s why we’ve introduced two exciting employee clubs: the BioTuring Football Club and the BioTuring Badminton Club. BioTuring Football Club & Badminton Club Our football club meets twice a week to enjoy a friendly match and unwind after Read More

At BioTuring, we believe in fostering a community of passionate learners and researchers. Our virtual club offers a unique platform to dive into the exciting world of single-cell and spatial biology. Whether you’re a seasoned scientist, a budding bioinformatician, or simply curious about the latest advancements, our club welcomes everyone. Don’t miss out on this opportunity Read More

About our Bioinformatics Trainee Program 2024 BioTuring is an innovative bioinformatics company creating advanced algorithms and software to support scientists from hundreds of pharmaceutical companies and leading research institutions, enabling discoveries about human diseases. Our annual program aims to provide a solid foundation in core bioinformatics, foster collaboration with leading Read More