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Bioinformatics and Biocomputation
Bioinformatics and Biocomputation
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Author : Amit Kumar & Pranav Praveen
Pages : 150
Year of Publication : 2026
Language : English
Binding : Paperback
his book compresses the bioinformatics core—search & retrieval → genomes & mapping → pair/MSA alignments & phylogeny → HMM/profiles → gene finding & expression → protein structure → pathways/systems → drug discovery & biomarkers—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 & numerical), Assertion–Reason, 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, virtual screening) “Choose-the-tool” tables (BLAST vs HMMER; ClustalΩ vs MUSCLE vs MAFFT; AUGUSTUS vs GeneMark) Parameter boxes (gap penalties, word size, HMM thresholds, DE cutoffs) Interpretation cues (E-value traps, overfitting in QSAR, docking pose validation)
Pages : 150
Year of Publication : 2026
Language : English
Binding : Paperback
his book compresses the bioinformatics core—search & retrieval → genomes & mapping → pair/MSA alignments & phylogeny → HMM/profiles → gene finding & expression → protein structure → pathways/systems → drug discovery & biomarkers—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 & numerical), Assertion–Reason, 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, virtual screening) “Choose-the-tool” tables (BLAST vs HMMER; ClustalΩ vs MUSCLE vs MAFFT; AUGUSTUS vs GeneMark) Parameter boxes (gap penalties, word size, HMM thresholds, DE cutoffs) Interpretation cues (E-value traps, overfitting in QSAR, docking pose validation)
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