000			03655nam a2200409 i 4500
988			_aSpringer_BiomedLife_2019
999			_c115858 _d115858 _x1
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003			ESmaUEC
005			20230110040240.0
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007			cr nn nnnaamaa
008			190610s2019 gw | s |||| 0|eng d
020			_a9783030138455
024	7		_a10.1007/978-3-030-13845-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D343 _b2019 EB
100	1		_aCouto, Francisco M. _eautor _9671851
245	1	0	_aData and Text Processing for Health and Life Sciences _cby Francisco M. Couto.
250			_a1st ed. 2019.
264		1	_aCham, Switzerland _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XV, 98 páginas) _b 483 ilustraciones, 74 ilustraciones a color
336			_aTexto _btxt _2rdacontent
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAdvances in Experimental Medicine and Biology _x0065-2598 _v1137
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aPreface -- Introduction -- Resources -- Data Retrieval -- Text Processing -- Semantic processing -- Index.
506	0		_aOpen Access
520	3		_aThis open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application. The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies. Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future.
650		7	_2embne _aData mining _9162648
776	0	8	_iPrinted edition: _z9783030138448
776	0	8	_iPrinted edition: _z9783030138462
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-13845-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b01/2020 _ek _zSI