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  • RNA-seq data science: From raw data to effective interpretation
    We discuss the steps from the generation of raw data using sequencing technologies to the effective interpretation and visualization of RNA-seq data using mapping and quantification techniques By summarizing the biological and computational foundations of RNA-seq data generation, analysis, and software development, we hope this review will
  • A comprehensive workflow for optimizing RNA-seq data analysis
    In this study, 288 pipelines using different tools were applied to analyze five fungal RNA-seq datasets, and the performance of their results was evaluated based on simulation
  • Statistical and Bioinformatics Analysis of Data from Bulk and . . .
    In this chapter, we review the various bioinformatics and statistical methods used in the processing, quality control, and analysis of bulk and single-cell RNA sequencing methods Additionally, we discuss how these methods are also being used to study tumor heterogeneity
  • Transforming Clinical Research: The Power of High-Throughput . . .
    By integrating multi-omics data, researchers can gain a holistic understanding of biological systems, leading to the identification of new biomarkers and therapeutic targets, particularly in complex diseases such as cancer
  • A Survey of Bioinformatics-Based Tools in RNA-Sequencing (RNA . . .
    Being a high-throughput sequencing technique, it poses a great demand for bioinformatics-based analysis of the generated data Here, we explain how RNA-Seq data can be analyzed, discuss its challenges, and provide an overview of the data analysis methods tools
  • Novel Bioinformatics Approaches for Analysis of High . . .
    This special issue presents novel applications or methodologies of biomedical or bioinformatics analysis The selected articles show the importance of integrating diverse ideas and multidisciplinary knowledge to answer complex biological questions through high-throughput technologies





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