About the Book: Bioinformatics and Biocomputation
his book compresses the bioinformatics core—search andretrieval ? genomes
andmapping ? pair/MSA alignments andphylogeny ? HMM/profiles ? gene finding
andexpression ? protein structure ? pathways/systems ? drug discovery
andbiomarkers—into high-yield, exam-oriented notes. Each chapter starts with
definitions and formulas, then moves to algorithms, parameters, and result
interpretation with side-by-side tool cheat-sheets (inputs, key flags, outputs,
pitfalls). Worked numericals cover E-value/log-odds, substitution matrices,
multiple testing (FDR), cross-validation metrics, docking scores, QSAR
statistics. End-matter includes unit-wise MCQs (single-best andnumerical),
AssertionReason, Match-the-pairs, and mini caselets with brief keys—ideal for
ICAR/SAU PG entrances, ASRB-NET (basics), DBT-BET/JRF, and university exams.
Scoring aids
Flowcharts for pipelines (RNA-seq, variant calling, homology modeling,