Metatranscriptomics: Listening to the Active Functional State of Microbial Communities
A deep computational and conceptual guide to metatranscriptomics, covering RNA capture, host removal, functional quantification, normalization, pathway interpretation, and systems-level integration. Includes practical pitfalls, expert insight boxes, and translational perspectives for disease and microbiome research.
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Normalization Across Omics: From RNA-seq and Proteomics to Statistical Validity
A detailed, concept-driven guide to normalization in RNA sequencing and proteomics, explaining FPKM, TPM, TMM, DESeq2, iBAQ, RIBAQ, and LFQ through worked examples, reviewer insights, and multi-omics integration principles.
Isoform Complexity Analysis: Structural Resolution Beyond Gene-Level Expression
A concise conceptual insight into isoform complexity analysis, highlighting transcript-level resolution, alternative splicing architecture, long-read reconstruction, and the biological importance of isoform switching in disease. Emphasizes structural diversity as a functional determinant beyond aggregate gene expression.
The Illusion in the Lab Coat: How Computational Biology Can Deceive Itself
A critical essay on self-deception, statistical illusion, and methodological fragility in computational biology.
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