{"product_id":"bioinformatics-and-biocomputation","title":"Bioinformatics and Biocomputation","description":"Author : Amit Kumar \u0026amp; Pranav Praveen\u003cbr\u003ePages : 150\u003cbr\u003eYear of Publication : 2026\u003cbr\u003eLanguage : English\u003cbr\u003eBinding : Paperback\u003cbr\u003ehis book compresses the bioinformatics core—search \u0026amp; retrieval → genomes \u0026amp; mapping → pair\/MSA alignments \u0026amp; phylogeny → HMM\/profiles → gene finding \u0026amp; expression → protein structure → pathways\/systems → drug discovery \u0026amp; 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 \u0026amp; 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.\r\n\r\nScoring aids\r\n\r\n\r\n\t\r\n\tFlowcharts for pipelines (RNA-seq, variant calling, homology modeling, virtual screening)\r\n\t\r\n\t\r\n\t“Choose-the-tool” tables (BLAST vs HMMER; ClustalΩ vs MUSCLE vs MAFFT; AUGUSTUS vs GeneMark)\r\n\t\r\n\t\r\n\tParameter boxes (gap penalties, word size, HMM thresholds, DE cutoffs)\r\n\t\r\n\t\r\n\tInterpretation cues (E-value traps, overfitting in QSAR, docking pose validation)\r\n\t\r\n\r\n","brand":"NIPA","offers":[{"title":"Default Title","offer_id":51505478893866,"sku":"NIPA-9367554370","price":32.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0693\/1218\/4618\/files\/NIPA1757679574.jpg?v=1778070858","url":"https:\/\/crazyshelf.com\/products\/bioinformatics-and-biocomputation","provider":"Crazyshelf.com","version":"1.0","type":"link"}