{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":21,"n_cols":5,"rows_kept":21,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[15,2,15,3],[16,2,16,3],[18,2,18,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910298435203321"]
[null,null,"Titolo",null,"Current trends in Bioinformatics: An Insight / / edited by Gulshan Wadhwa, P. Shanmughavel, Atul Kumar Singh, Jayesh R. Bellare"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018"]
[null,null,"ISBN",null,"981-10-7483-6"]
[null,null,"Edizione",null,"[1st ed. 2018.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XV, 332 p. 124 illus., 72 illus. in color.)"]
[null,null,"Disciplina",null,"570.285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Computational biology"]
[{"$nulls":4},"Proteomics"]
[{"$nulls":4},"Microarrays"]
[{"$nulls":4},"Applied mathematics"]
[{"$nulls":4},"Engineering mathematics"]
[{"$nulls":4},"Computer Appl. in Life Sciences"]
[{"$nulls":4},"Mathematical and Computational Engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part 1. Overview -- Chapter 1. An Insight of Biological Databases used in Bioinformatics -- Chapter 2- Bioinformatics in Next-Generation Genome Sequencing -- Chapter 3. The Role of Bioinformatics in Epigenetics -- Chapter 4. Three dimensional structures of carbohydrates and glycoinformatics – An Overview -- Chapter 5. Epigenome: The guide to Genomic Expression -- Part 2. Bioinformatics Approaches -- Chapter 6. Molecular Modeling and Drug Design: A Contemporary Analysis in Vibrio cholera -- Chapter 7. Modelling Polyketide Synthases and Similar Macromolecular Complexes -- Chapter 8. In silico Studies on Colon Cancer -- Chapter 9. Tools, Databases and Applications of Immunoinformatics -- Chapter 10. Metabolic Pathway Analysis Employing Bioinformatics Software -- Chapter 11. The Interactomics of the RNA Induced Silencing Complex -- Chapter 12. Computational Tools: RNA Interference in Fungal Therapeutics -- Chapter 13. Genome Wide Essential Gene Identification in Pathogens -- Chapter 14. Disease Informatics -- Chapter 15- Development in Malaria and Anemia Screening: Medical Imaging Informatics Approach -- Chapter 16. Role of Bioinformatics in Drug-Resistance Prediction forHIV/AIDS -- Chapter 17. Bioinformatics "]
[{"$nulls":4},"approaches for animal breeding and genetics -- Chapter 18. α-Amylase Inhibitor’s performancein the Control of Diabetes Mellitus: Anapplication of computational Biology."]
[null,null,null,"Sommario/riassunto","This book highlights the latest breakthrough developments in bioinformatics. It presents a series of timely, in-depth reviews, drug clinical trial studies, biodiversity informatics and thematic issues. In addition, it includes insightful reviews on advances in computational molecular/structural biology, which address areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Innovations in these fields have direct impacts on key issues related to healthcare, medicine, genetic disorders, the development of agricultural products, renewable energy, and environmental protection. Written by respected leaders in the field and covering a wide range of topics involving the integration of biology with computer and information science, the book offers an ideal basis for teaching at the undergraduate and graduate levels. It can also be used for self-instruction by research investigators interested in applying bioinformatics-based analytical methods and information technologists working with academic and industrial laboratories."]