Novel Approaches for High-Throughput Sequencing Data Analysis

Dear Colleagues,

Over the past two decades, High-Throughput Sequencing (HTS) technologies have been developed dramatically and have fundamentally reshaped the paradigm of biomedical researches. From bulk to single cells and from short to long reads, HTS has covered almost all aspects of biology involving nucleic acid, which includes RNA expression, RNA modification, RNA–protein interaction, RNA–DNA interaction, DNA sequencing, DNA modification, DNA–protein interaction, histone modification, chromatin 3D structure, chromatin accessibility, etc. While basic tools for HTS data processing and analysis have developed accordingly, more sophisticated approaches are needed for customized analysis, which reflects the biomedical problems experimenters are trying to resolve. For example, with basic tools and databases available, researchers without a bioinformatics background will find difficulty in quantifying the expression of retrotransposons via RNA sequencing, let alone detecting the transposed sequences that are transcribed with other genes. This hampers the progress of the biomedical research community. Considering the large demands for novel, customized, and easy-to-use HTS data analysis approaches and to facilitate and accelerate biomedical research, we launched this Special Issue, “Novel Approaches for High-Throughput Sequencing Data Analysis”, and welcome any submissions that fall within this scope.

Dr. Wanwei Zhang
Guest Editor

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