This guide provides a comprehensive resource for researchers and clinicians utilizing the STAR aligner for chimeric fusion transcript detection in cancer genomics.
This article provides a complete resource for researchers and bioinformaticians seeking to enhance the accuracy of their RNA-seq analyses, particularly for detecting novel splicing events and complex transcriptomes.
This article provides a thorough overview of the Spliced Transcripts Alignment to a Reference (STAR) aligner, focusing on its accuracy and precision for RNA-seq data analysis.
This guide provides a comprehensive introduction to the STAR (Spliced Transcripts Alignment to a Reference) aligner, a cornerstone tool for modern RNA-seq data analysis.
This article provides a comprehensive guide for researchers and drug development professionals on validating Single Nucleotide Polymorphism (SNP) calls from Next-Generation Sequencing (NGS) data using Sanger sequencing.
Accurate protein structure prediction is now indispensable for drug discovery and functional analysis.
This article provides a comprehensive analysis of machine learning (ML) and deep learning (DL) algorithms for cancer classification, tailored for researchers and drug development professionals.
This article provides a comprehensive comparison of Whole Genome Sequencing (WGS) and Targeted Sequencing for researchers, scientists, and drug development professionals.
This article provides a comprehensive framework for researchers and drug development professionals to validate bioinformatically predicted protein-protein interactions (PPIs).
Accurate gene annotation is the cornerstone of prokaryotic genomics, influencing everything from understanding evolution and niche adaptation to drug target identification.