Découvrez l’hétérogénéité cellulaire avec des approches multi-omiques d’analyse Single Cell L’analyse Single Cell ou le séquençage de cellules uniques, vous permet d’analyser des dizaines de milliers de cellules dans un même échantillon. Il peut être… Read more
Exploring Chemoresistance-Related Pathways in Neuroblastoma through Single Cell Transcriptomics Singleron Biotechnologies and Illumina are dedicated to providing cutting-edge technologies to empower and support researchers in addressing today’s major research questions. Single cell sequencing is… Read more
CeleViz Browser - User Tutorial Singleron CeleViz Browser – User Tutorial: Empowering Easy Exploration of scRNAseq Data. Explore and visualize your scRNA-seq datasets using Singleron’s user-friendly CeleViz interface. What you… Read more
SynEcoSys - User-friendly single cell database and bioinformatics platform Single cell analysis can be tedious and requires experienced bioinformaticians. However this may no longer be the case! Here we introduce SynEcoSys, a single cell… Read more
An Introduction to Single Cell Sequencing Get into the fundamentals of single cell sequencing with our introduction webinar. Single cell sequencing is an increasingly popular approach for profiling gene expression of… Read more
Using Single Cell Multi-Omics to Analyse the Immune System In this webinar experts explain how single cell multi-omics can provide detailed insights into how the immune system functions in health and disease. Single cell… Read more
ProMoSCOPE™ - Adding a New Layer of Sweetness to Your Single Cell Sequencing Data Post-translational modification of proteins, such as glycosylation, can directly regulate cellular functions and play important roles in diseases and immunity. It remains to be understood… Read more
MapBatch: Conservative Batch Normalization for scRNAseq Enables Discovery of Rare Cell Populations What is MapBatch for scRNAseq? MapBatch is a tool designed for conservative batch normalization of single cell RNA sequencing (scRNAseq) data. It helps in identifying… Read more
MapResponse: Machine Learning Perspective for Biomarker Discoveries and Disease Prognostics Machine learning (ML) plays a crucial role in biomarker discovery and disease prognostics by leveraging large datasets and complex algorithms to identify patterns and make… Read more