Recent Advances in Genomics Research

Dear Colleagues,

With the advent of technological advancements in sequencing technology, computational algorithms and bioinformatic tools, the field of genomics research has evolved rapidly. This Special Issue aims to explore cutting-edge developments, particularly in genomics data analysis, offering insights into novel methodologies, tools, and applications that have transformed the perspective of genomic data analysis in medical research. The Issue welcomes a wide range of topics related to data analysis, including but not limited to next-generation sequencing technology, multi-omics integration technique, artificial intelligence (AI) and machine learning algorithms using genomics data, single-cell sequencing, spatial transcriptomics, population genomics, and precision medicine. This Special Issue highlights the advancements from basic science to clinical applications and aims to serve as a valuable resource for scientists to leverage the cutting-edge tools and strategies for genomics data analysis.

Dr. Chien-Wei (Masaki) Lin
Guest Editor

Dr. Yu Wang
Email: ywang@mcw.edu
Homepage: https://www.mcw.edu/departments/data-science-institute/people/yu-wang-phd
Affiliation: Division of Biostatistics, Data Science Institute, Medical College of Wisconsin, Milwaukee, WI, USA
Interests: scRNA-seq; spatial transcriptomics; WGS; GWAS; survival analysis; Hi-C; machine learning
Guest Editor Assistant

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