Single-Cell RNA-Seq Data Analysis: A Practical Introduction When? November 8-10, 2023 Where? Berlin, Germany Apply? Link Master the tools and techniques to confidently analyze single-cell RNA-seq data and gain new insights into complex biological systems In a nutshell Explore sequencing technologies ...
Read More »Inference of cell state transitions and cell fate plasticity from single-cell with MARGARET
Single-cell RNA sequencing (scRNA-seq) data allows us to quantify the biological heterogeneity in developmental processes at a fine-grained level. Despite recent advances in inferring cellular dynamics from the underlying developmental process, existing computational trajectory inference (TI) methods face several critical ...
Read More »CellDepot – A Unified Repository for scRNA-seq Data and Visual Exploration
CellDepot containing over 270 datasets from 8 species and many tissues serves as an integrated web application to empower scientists in exploring single-cell RNA-seq (scRNA-seq) datasets and comparing the datasets among various studies through a user-friendly interface with advanced visualization ...
Read More »Omics Playground online: a user-friendly tool for the rapid analysis of omics data
BigOmics Analytics has launched the web-based version of the Omics Playground, an extremely user-friendly platform that allows non-coders to analyse RNA-Seq, scRNA-seq, microarray and proteomics data types. Through it users can perform basic analysis, including sample clustering, pairwise...
Read More »Introducing the Nadia Innovate – the open platform for single cell research and development
Introducing the Nadia Innovate – the open platform for single cell research and development Live webinar, 24 June 2021 |3PM SGT | UTC+8 Register now In recent years, new single cell technologies have revolutionized our understanding of cell identity and ...
Read More »Optimize Your Single Cell Research – Best Techniques for Sample Preparation
Optimize Your Single Cell Research – Best Techniques for Sample Preparation Session 1 Webinar: Optimize Your Single Cell Research: Best Techniques for Sample Preparation Date: 26.05.2021 Time: 10 CET | 9 GMT Session 2 Webinar: Optimize Your Single Cell Research: ...
Read More »A clusterability measure for single-cell transcriptomics reveals phenotypic subpopulations
The ability to discover new cell populations by unsupervised clustering of single-cell transcriptomics data has revolutionized biology. However, all unsupervised methods have adjustable parameters, which renders it difficult for researchers to decide on the right resolution for clustering. Often it ...
Read More »Featured RNA-Seq Job – scRNA-seq Biocurator/Ontologist position at FlyBase
We are seeking to recruit a new member to our team at the University of Cambridge to contribute to the FlyBase Drosophila database. If you are looking for a fulfilling, fly-related career away from the bench, and enjoy the challenge of organizing complex...
Read More »PieParty: Visualizing cells from scRNA-seq data as pie charts
Single cell RNA sequencing (scRNA-seq) has been a transformative technology in many research fields. Dimensional reduction techniques such as UMAP and tSNE are used to visualize scRNA-seq data in two or three dimensions in order for cells to be clustered ...
Read More »A systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-Seq workflows
Single-cell RNA sequencing has been widely adopted to estimate the cellular composition of heterogeneous tissues and obtain transcriptional profiles of individual cells. Multiple approaches for...
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