Journal Information
BMC Bioinformatics
https://bmcbioinformatics.biomedcentral.com/
Impact Factor:
2.900
Publisher:
BioMed Central
ISSN:
1471-2105
Viewed:
17709
Tracked:
23
Call For Papers
Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.

BMC Bioinformatics does not make editorial decisions on the basis of the interest of a study or its likely impact. Studies must be scientifically valid; for research articles this includes a scientifically sound research question, the use of suitable methods and analysis, and following community-agreed standards relevant to the research field.
Last updated by Bing Xiao in 2024-12-15
Special Issues
Special Issue on Computational methods in microscopy image analysis
Submission Date: 2025-02-27

Guest Editor Dariusz Plewczyński, PhD, Warsaw University of Technology, Poland BMC Bioinformatics is welcoming submissions for our Collection focused on Computational methods in microscopy image analysis. Microscopy imaging techniques have revolutionized our understanding of biological processes by enabling the visualization of cellular and molecular details with unprecedented resolution. However, the complexity and volume of microscopic data pose significant challenges for analysis and interpretation. Computational methods are crucial in extracting meaningful information from microscopy images, enhancing image resolution, and uncovering subtle biological processes. This Collection aims to showcase innovative computational approaches and bioinformatics tools tailored for microscopy image analysis, with potential topics including but not limited to: Computational methods in Electron Microscopy and FRET-FLIM microscopy Image processing techniques for light microscopy and confocal microscopy Novel algorithms for image segmentation, object detection, and feature extraction in microscopy Integration of multi-modal and SCAPE microscopy data Quantification of spatial and temporal dynamics in fluorescence microscopy analysis Convolution and deconvolution methods for microscopy images Application of machine learning techniques for automated microscopy image analysis This Collection supports and amplifies research related to SDG 9: Industry, Innovation, and Infrastructure.
Last updated by Dou Sun in 2024-08-11
Special Issue on Bioinformatics in agriculture
Submission Date: 2025-03-14

Guest Editors Ratna Prabha, PhD, Agricultural Knowledge Management Unit, ICAR-Indian Agricultural Research Institute, India Anil Rai, PhD , Master in Computer Applications, Indian Council of Agricultural Research, India BMC Bioinformatics is welcoming submissions to our Collection focused on Bioinformatics in agriculture. Bioinformatics is gaining an increasingly prominent role in the field of agriculture and plays a crucial role in precision farming and sustainable agriculture practices. Agri-informatics integrates bioinformatics tools and computational methods to analyze agricultural data, ranging from plant genome mapping to agricultural big data analytics. By leveraging advanced bioinformatics techniques, researchers can enhance crop productivity, mitigate crop diseases, and optimize resource management in agriculture. This Collection aims to showcase innovative research in agricultural bioinformatics and welcomes submissions on novel computational and statistical approaches in the field of agriculture. Potential topics include, but are not limited to, computational and statistical approaches for: Crop genome mapping and annotation Analysis and interpretation of agricultural big data Genetic variants associated with crop stress tolerance Agri-informatics platforms for precision farming, crop monitoring, and yield prediction Analysis of pathogen-plant interactions and development of disease-resistant crops Computational modeling and simulation of crop growth Machine learning and artificial intelligence techniques in plant breeding analytics and crop trait prediction
Last updated by Dou Sun in 2024-08-11
Special Issue on Microbial taxonomy
Submission Date: 2025-03-27

Guest Editors Xiaoquan Su, PhD, Qingdao University, China Yanni Sun, PhD, City University of Hong Kong, China BMC Bioinformatics is welcoming submissions to our Collection on Microbial taxonomy. Microbial taxonomy is the identification, classification and nomenclature of microorganisms, providing a framework to understand microbial diversity and their ecological roles. Computational tools have widely been employed for taxonomic classification, for example in the context of binning and metagenomic analysis, as well as database construction. This Collection welcomes submissions on the development of novel computational and statistical approaches in the field of microbial taxonomy, as well as major advancements of existing tools. New microbial taxonomy databases which describe a novel architecture, set-up or bioinformatics analysis are also welcome.
Last updated by Dou Sun in 2024-08-11
Special Issue on Eukaryotic phylogenetics
Submission Date: 2025-04-16

Guest Editors Jijun Tang, PhD, Shenzhen University of Advanced Technology, China Dapeng Wang, PhD, Imperial College London, UK BMC Bioinformatics is welcoming submissions to our Collection on Eukaryotic phylogenetics. Eukaryotic phylogenetics explores the evolutionary relationships between and diversification of eukaryotic organisms based on morphological data and molecular sequence data, providing insights into their genetic diversity and evolutionary history. Computational approaches have been widely used in the phylogenetics field, proving especially useful in this era of omics and increasingly large datasets. This Collection welcomes submission on computational and statistical methods for the study of eukaryotic phylogenetics, including both alignment-based and alignment-free approaches, new databases and visualisation tools for eukaryotic phylogenetic trees. Computational and statistical approaches for the integration, automation and standardization of large-scale phylogenetic and phylogenomic analysis are also welcome.
Last updated by Dou Sun in 2024-08-11
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