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Record Nr. |
UNISA996390663703316 |
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Autore |
Menzeis John <1624-1684.> |
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Titolo |
Positiones aliquot theologicæ, de objecto cultus religiosi [[electronic resource] ] : Quas A.P.D.O.M. tertio id. Aug. 1674. in Academia Regia Aberdonensi. Propugnabit Henricis Sco[u]gall presbyter, & designatus S.S. Theologiæ Professor. Disputationem moderante eruditiss. & clarris. viro, D. Ioannes Menzies, Theologiæ Professore meritissimo, & Universitatis Aberdonensis rectore magnifico |
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Pubbl/distr/stampa |
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[Aberdeen], : E typographæo Ioannis Forbesii Iunioris, urbis & Universitatis typotheræ., Anno Dom. M. DC. LXXIV. [1674] |
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Descrizione fisica |
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Soggetti |
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Theology, Doctrinal - 17th century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Place of publication from Wing. |
Caption title on p. 3 reads: Propositiones theologicæ de objecto cultus religiosi. |
Reproduction of the original in the Edinburgh University Library. |
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2. |
Record Nr. |
UNINA9910960954203321 |
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Autore |
Sung Wing-Kin |
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Titolo |
Algorithms for next-generation sequencing / / Wing-Kin Sung |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : CRC Press, Taylor & Francis Group, , [2017] |
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©2017 |
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ISBN |
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1-4987-5298-5 |
1-315-37435-8 |
1-4665-6551-9 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (347 pages) : illustrations |
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Collana |
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Chapman & Hall/CRC Mathematical and Computational Biology Series |
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Disciplina |
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Soggetti |
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Bioinformatics |
Nucleotide sequence |
Genetic algorithms |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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. |
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