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[null,"1.","Record Nr.",null,"UNIORUON00188110"]
[null,null,"Autore",null,"KRIZANIC, Jurij"]
[null,null,"Titolo",null,"Russian Statecraft : the Politika of Iurii Krizhanich : an analysis and transla tion of Iurii Krizhanich's politika / John M. Letiche and Basil Dmytryshyn"]
[null,null,"Pubbl/distr/stampa",null,"Oxford, : Blackwell, 1985"]
[null,null,"ISBN",null,"06-311-3809-9"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910960954203321"]
[null,null,"Autore",null,"Sung Wing-Kin"]
[null,null,"Titolo",null,"Algorithms for next-generation sequencing / / Wing-Kin Sung"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, Taylor & Francis Group, , [2017]"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"1-4987-5298-5"]
[{"$nulls":4},"1-315-37435-8"]
[{"$nulls":4},"1-4665-6551-9"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (347 pages) : illustrations"]
[null,null,"Collana",null,"Chapman & Hall/CRC Mathematical and Computational Biology Series"]
[null,null,"Disciplina",null,"570.285"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Nucleotide sequence"]
[{"$nulls":4},"Genetic algorithms"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"A Chapman & Hall book.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. NGS file formats -- 3. Related algorithms and data structures -- 4. NGS read mapping -- 5. Genome assembly -- 6. Single nucleotide variation (SNV) calling -- 7. Structural variation calling -- 8. RNA-seq -- 9. Peak calling methods -- 10. Data compression techniques used in NGS files."]
[null,null,null,"Sommario/riassunto","Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology."]