Eduardo Andrés-León, PhD, Institute of Parasitology and Biomedicine López-Neyra (IPBLN) and Spanish National Research Institute (CSIC), Spain
Xiangtao Li, PhD, Jilin University, China
BMC Bioinformatics is welcoming submissions to our Collection on RNA-seq data analysis. This Collection welcomes submissions on the development of new computational and/or statistical approaches for the analysis of RNA-seq data.
Eduardo Andrés-León, PhD, Institute of Parasitology and Biomedicine López-Neyra (IPBLN) and Spanish National Research Institute (CSIC), Spain
Dr Andrés-León is the head of the Bioinformatics Unit at the Institute of Parasitology and Biomedicine “López-Neyra,” part of the Spanish National Research Council. He earned his PhD at the Spanish Cancer Research Centre under the mentorship of Prof Alfonso Valencia and Dr Ana Rojas. Dr Andrés-León's funded projects focus on developing algorithms and new methodologies that integrate cutting-edge technologies into clinical practice. His research encompasses single-cell and spatial transcriptomics studies in complex diseases such as cancer, autoimmune disorders, and neurodegenerative diseases. Additionally, he is a member of GESTALT (Global Alliance for Spatial Technologies), Cyted (Ibero-American Programme of Science and Technology for Development) and part of the executive committee of the Spanish Society of Bioinformatics and Computational Biology (SEBiBC).
Xiangtao Li, PhD, Jilin University, ChinaDr Xiangtao Li serves as a Professor at the School of Artificial Intelligence, Jilin University, Jilin, China. His expertise spans the realms of bioinformatics, computational biology, artificial intelligence, single-cell RNA-seq, and protein-RNA binding. His group focuses on employing advanced deep learning techniques to decode complex biological and biomedical datasets, such as single-cell RNA-seq, multi-omics, and spatial transcriptomics. By harnessing state-of-the-art deep learning algorithms, Dr Li has developed methods to cluster cells from single-cell RNA sequencing data. Venturing further into multi-omics and spatial transcriptomics, Dr Li and his group strive to uncover the intricate molecular layers within cells, shedding light on the spatial intricacies of transcriptional processes.
BMC Bioinformatics is welcoming submissions to our Collection on RNA-seq data analysis.
RNA sequencing (RNA-seq) provides information on the transcriptome of a cell and over the years has expanded to allow the study of single-cell expression and translation, the role of non-coding RNA and RNA-RNA interactions. It has become an indispensable tool for studying gene expression regulation, discovering novel transcripts and elucidating alternative splicing events.
This Collection welcomes submissions on the development of new computational and/or statistical approaches for the analysis of RNA-seq data.
Image credit: © nobeastsofierce / stock.adobe.com
There are currently no articles in this collection.
This Collection welcomes submission of original research, software and database articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "RNA-seq data analysis" from the dropdown menu.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.
The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.