1st Life Webinar

Bioinformatics Methods for Single Cell Sequencing Data Analysis

As an emerging biotechnology, single cell sequencing has become widely used. However, single cell data analysis is still challenging. Compared with traditional bulk sequencing, single cell sequencing data are sparse. There are many genes in cells that cannot be measured. Another difference is that the sample size of single cell data is usually much larger than that of bulk sequencing data, enabling the applications of the latest deep learning methods which require large sample sizes. Furthermore, the QC (quality control) of single cell sequencing data is different from that of bulk sequencing. There are many new issues. For example, a cell with a unique barcode may be a doublet, which leads to different data processing methods.

To address these challenges in single cell sequencing data analysis, new bioinformatics methods are needed. Renowned scientists of the area will present novel bioinformatics methods for single cell sequencing data analysis in this webinar.

The related Special Issue "Bioinformatics Methods for Single Cell Sequencing Data Analysis", which will be published by the open access journal Life, is open for submissions. More details can be found here.

Date: 9 February 2022

Time: 1:00am CET | 8:00am CST Asia | 7:00pm EST (8 Feb 2022)

Webinar ID: 876 5518 8329

Webinar Secretariat: life.webinar@mdpi.com