Transcriptome Profiling 1st Edition

Capture the cutting edge of gene expression research with Transcriptome Profiling (1st Edition) by Mohammad Ajmal Ali and Joongku Lee. This authoritative guide delivers a clear, practical pathway from experimental design to biological insight, perfect for researchers, graduate students, and bioinformaticians seeking reliable methods in transcriptomics.

Discover why this book stands out: it translates complex concepts—RNA‑Seq, library preparation, normalization, differential expression, and functional annotation—into actionable workflows. Real-world emphasis on data quality, reproducible pipelines, and integration with public repositories such as the GEO database ensures your experiments meet modern publishing and data‑sharing standards.

You’ll appreciate concise explanations of sequencing technologies, sample handling, and common pitfalls, paired with approachable introductions to computational tools for alignment, quantification, and visualization. Case studies demonstrate how transcriptome profiling drives biomarker discovery, disease mechanism studies, and comparative genomics across organisms and environments.

Whether you’re analyzing bulk RNA‑Seq or exploring single‑cell approaches, this edition balances laboratory best practices with practical bioinformatics strategies, enabling confident experimental planning and robust interpretation. Written in a professional yet engaging voice, it bridges bench and code—helping teams accelerate projects and generate reproducible, publication‑ready results.

Add Transcriptome Profiling (1st Edition) to your library to master contemporary gene expression analysis and stay at the forefront of molecular biology research. Order now to empower your next discovery.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.