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000257348 1001_ $$0P:(DE-2719)2810719$$aDörpinghaus, Jens$$b0$$eFirst author$$udzne
000257348 245__ $$aSequence Analysis
000257348 250__ $$a1st ed. 2022
000257348 260__ $$aCham$$bSpringer International Publishing$$c2022
000257348 29510 $$a[Ebook] Computational Life Sciences : Data Engineering and Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil, Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022, Cham : Springer International Publishing, 2022,
000257348 300__ $$a415-437
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000257348 4900_ $$aStudies in Big Data$$v112
000257348 520__ $$aThe collection and understanding of biological sequences once founded bioinformatics as a scientific field, and is still the most common reception even outside the scientific community. In this chapter we introduce principles of sequence analysis, starting on the biological backgrounds, up to algorithmic concerns. In the following, we focus on the principle handling of sequence data in practice, using BioJava’s relevant packages. Further application-oriented topics treat database searches as well as the underlying sequence alignment algorithms. While we concentrate on the classical FASTA format for demonstration reasons, Next-Generation Sequencing (NGS) data and principles are addressed as well. The chapter closes on relating to contemporary developments in applications and technologies.
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000257348 650_0 $$aEngineering—Data processing
000257348 650_0 $$aBioinformatics
000257348 650_0 $$aBig data
000257348 650_0 $$aComputational intelligence
000257348 7001_ $$aWeil, Vera$$b1
000257348 7001_ $$0P:(DE-2719)9002247$$aSchaaf, Sebastian$$b2$$udzne
000257348 7001_ $$aApke, Alexander$$b3
000257348 773__ $$a10.1007/978-3-031-08411-9_15
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000257348 9141_ $$y2022
000257348 9201_ $$0I:(DE-2719)1011001$$kAG Klockgether$$lClinical Research Coordination$$x0
000257348 9201_ $$0I:(DE-2719)1013007$$kAG Becker$$lGenomMathematik in der Neuroepidemiologie$$x1
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