Bioinformatics is an interdisciplinary that combines biology, computer science, and information technology to analyze and interpret biological data. It involves the development and application of computational methods, algorithms, and software tools to understand biological processes, analyze large datasets, and make predictions about biological systems.
Bioinformatics plays a crucial role in many areas of biological research, including genomics, proteomics, structural biology, evolutionary biology, and systems biology. It is used to analyze DNA sequences, protein sequences, gene expression data, protein structures, and biological networks. Bioinformatics tools and techniques enable researchers to identify genes, predict protein functions, study genetic variations, analyze evolutionary relationships, and much more.
We aim to explore:
Ongoing Projects
As one of the core steps of single-cell transcriptome data analysis, clustering plays a crucial role in identifying cell types and interpreting cellular heterogeneity. We summarize applications and challenges of the clustering ensemble method in single-cell transcriptome data analysis, and provide constructive thoughts and references for researchers. (Nie X., et al. Computers in Biology and Medicine, 2023).
Additives have the potential to affect the survival and lifespan of insects, but the full molecular mechanisms behind mortality and infertility remain unclear. By integrating molecular biology and multi-omics approaches, we focuses on uncovering the potential adverse effects of different food additives on the growth and developmental pathways of fruit flies. (Li L., et al. Int J Mol Sci, 2024).
In the field of drug discovery, how to efficiently mine transcriptome data and identify new indications for old drugs remains a critical challenge. discussed the irreplaceable role of transcriptome data in computational drug repurposing and summarized some representative databases, tools and strategies. (He H., Duo H., et al. Computers in Biology and Medicine, 2023)
LAB MEMBERS: Teachers
Dr. Hao the Director of the Department of Biology at College of Life Sciences, Chongqing Normal University. He graduated with a Bachelor of Science degree from Ludong University in 1998, followed by Master's and Ph.D. degrees from Nankai University in 2001 and 2005. With experience as a Postdoctoral researcher at the University of the Azores, Portugal, and as an Assistant Researcher at the University of Chicago, USA, he also served as a Senior Visiting Scholar at the University of Colorado, USA from 2017 to 2018. Proficient in teaching courses such as Cell Biology, Cell Engineering, Enzyme Engineering, Professional English, and Advanced Molecular Biology, his current research focuses on biological big data mining and analysis. He has led or participated in over 10 scientific research projects globally, published more than 80 papers in prestigious journals, holds 3 utility model patents, and was awarded one third prize in Natural Science from Chongqing City.
Dr. Li currently holds the positions of Associate Professor and Master's Supervisor. He obtained his bachelor's degree from Northwest A&F University in 2003, followed by earning a master's degree in Biophysics and a Ph.D. in Bioinformatics from Chongqing University. With expertise in bioinformatics, machine learning, and biological data mining, he actively contributes to teaching and research in these areas. Li has been involved in leading or collaborating on various provincial and ministerial-level projects, including an educational reform initiative. He has also authored a textbook and published over 50 academic papers in prestigious international journals such as Nucleic Acids Research, Trends in Food Science & Technology, Bioinformatics, Briefings in Bioinformatics, and Molecular & Cellular Proteomics.
Lab members: Students
Publications
Duo H.#, Li Y.#, Lan Y.#, Tao J., Yang Q., Xiao Y., Sun J., Li L., Nie X., Zhang X., Liang G., Liu M., Hao Y.* & Li B*.
Common Methods for Phylogenetic Tree Construction and Their Implementation in R
Zou Y.#, Zhang Z.#, Zeng Y., Hu H., Hao Y., Huang S.* & Li B*.
Li Y.#,*, Yang Y.#,, Tong Z., Wang Y., Mi Q., Bai M., Liang G., Li B.* & Shu K*.
Li L., Duo H., Zhang X., Gong H., Li B.* & Hao Y*.
Tang J.#, Mou M.#, Zheng X.#, Yan J., Pan Z., Zhang J., Li B., Yang Q., Wang Y., Zhang Y., Gao J., Li S.*, Yang H.* & Zhu F*.
Duo H., Li Y. & Li B.*.
Xu Z.-X.#, Zhu X.-M.#, Yin H., Li B., Chen X.-J., Fan X.-L., Li N.-Q., Selosse M.-A., Gao J.-Y.* & Han J.-J*
Clustering ensemble in scRNA-seq data analysis: methods, applications and challenges
Nie X., Qin D,, Zhou X., Duo H., Hao Y., Li B.*, Liang G*.
Long F.#, Ma H.#, Hao Y.#, Tian L., Li Y., Li B., Chen J., Tang Y., Li J., Deng L., Xie G.*, Liu M*.
He H.#, Duo H.#, Hao Y., Zhang X., Zhou X., Zeng Y., Li Y., Li B.*.
Popular Resources
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News
2024 May: Hongrui's paper has been accepted by Genome Biology! Congrats Hongrui!
2024 May: Yue's paper has been published online by Bioengineering! Congrats Yue!
2024 Apr: Qian's site in Bilibili was public, showing many movies for teaching biology at high school Click here! !
2024 Mar: Bo's collaboration paper (with Li Y. & Shu K.) is accepted in Briefings in Bioinformatics! Congrats Bo!
2024 Mar: Lei Li's paper is accepted in Int. J. Mol. Sci.! Congrats Li!
2023 Sep: Welcome our new graduate students, Yingxue Xiao, Jing Sun & Hanyue Hu!
2023 Jun: Yin's collaboration paper (with Xu Z. & Han J.) is accepted in Plant Physiology! Congrats Yin!
2023 May: We started hiring!
2023 Mar: Welcome our new intern students!
Contact
We are looking for passionate (graduate students and undergraduates to develop together. Please do not hesitate to contact us ( libcell@cqnu.edu.cn) or ( haoyoujin@hotmail.com) if you are interested in bioinformatics or computational biology.
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