Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

Dear Colleagues,

Single-cell technologies and computational methods provide opportunities to investigate cellular heterogeneity in a wide range of tissues and cell populations, yielding deep insights into the composition, dynamics, and gene regulation of cell states in biological processes. Despite substantial advances made to date, significant challenges remain, particularly in the analysis of single-cell data because of the sparsity, complexity, and high noise levels of the data. New advances in computational biology have been emerging to provide important biological insights and to fully utilize the advantages of single-cell sequencing data. Therefore, to introduce the latest developments in single-cell data analysis, we bring you this Special Issue of Genes.

This Special Issue aims to provide a forum for advancement in the development and applications of computational single-cell methods.

New developments of algorithms for single-cell data analysis, and their applications in clinical and biological research are welcome in the form of review articles and papers on methodologies and practical application.

Dr. Shouguo Gao
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• single-cell analytical tools
• quality control
• interactive visualization and analysis
• multi-assay data integration
• pseudotime and trajectory inference
• regulatory network construction and analysis
• cell–cell communication
• clinical and biological applications of single-cell technologies