Skip to main content

Call for papers - Analysis of biophysical data

Guest Editors:
Lun Hu: Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, China
Qi Zhao: University of Science and Technology Liaoning, China

Submission Status: Open   |   Submission Deadline: 28 February 2024


BMC Bioinformatics is calling for submissions to our Collection on the analysis of biophysical data. This Collection welcomes submissions on new software and computational processing of biophysical data, as well as significant advancements and new implementations of existing solutions.

Meet the Guest Editors

Back to top

Lun Hu: Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, China

Lun Hu is currently a Professor with the Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, China. His research interests include machine learning, complex network analytics and their applications in bioinformatics. He has authored or coauthored over 70 papers in the areas of data mining and bioinformatics. Dr Hu is currently serving as the editorial board member and guest editor for several international journals, including BMC Bioinformatics.

Qi Zhao: University of Science and Technology Liaoning, China

Dr Qi Zhao received his PhD from Wuhan University and Chinese Academy of Sciences in 2011. Currently, he is a full Professor in the University of Science and Technology Liaoning, China. His research interests include bioinformatics, big data, machine learning and network analysis. Dr Zhao has been a part of several well-known research journals including Frontiers in Microbiology, Journal of Cellular and Molecular Medicine, BMC Genomics, BMC Bioinformatics, Genomics, Toxicological Sciences.
 

About the collection

BMC Bioinformatics is calling for submissions to our Collection on the analysis of biophysical data.

In biophysics, approaches and methods of physics are applied to the study of biological systems. Most commonly known techniques include X-ray crystallography and Nuclear Magnetic Resonance, but extend as far as thermal shift assays, circular dichroism, isothermal titration calorimetry and small and wide angle scattering just to name a few.

The analysis of data originating from biophysical experiments is often conducted using dedicated platforms and software implementations and can provide insights into structural and dimensional features of biological systems, as well as their interactions and physical properties.

This Collection welcomes submissions on new software and computational processing of biophysical data, as well as significant advancements and new implementations of existing solutions.

Image credit: perfectmatch / Fotolia

  1. Understanding gene expression processes necessitates the accurate classification and identification of transcription factors, which is supported by high-throughput sequencing technologies. However, these techn...

    Authors: Jidong Zhang, Bo Liu, Jiahui Wu, Zhihan Wang and Jianqiang Li
    Citation: BMC Bioinformatics 2023 24:345
    Content type: Research Published on:

Submission Guidelines

Back to top

This Collection welcomes submission of original Research 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 ["Analysis of biophysical data"] 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 Guest 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 Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.