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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing AG,
    UID:
    almahu_9949602269002882
    Format: 1 online resource (107 pages)
    Edition: 1st ed.
    ISBN: 9783030138455
    Series Statement: Advances in Experimental Medicine and Biology Series ; v.1137
    Note: Intro -- Preface -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- Biomedical Data Repositories -- Scientific Text -- Amount of Text -- Ambiguity and Contextualization -- Biomedical Ontologies -- Programming Skills -- Why This Book? -- Third-Party Solutions -- Simple Pipelines -- How This Book Helps Health and Life Specialists? -- Shell Scripting -- Text Files -- Relational Databases -- What Is in the Book? -- Command Line Tools -- Pipelines -- Regular Expressions -- Semantics -- 2 Resources -- Biomedical Text -- What? -- Where? -- How? -- Semantics -- What? -- Languages -- Formality -- Gold Related Documents -- Where? -- OBO Ontologies -- Popular Controlled Vocabularies -- How? -- OWL -- URI -- Further Reading -- 3 Data Retrieval -- Caffeine Example -- Unix Shell -- Current Directory -- Windows Directories -- Change Directory -- Useful Key Combinations -- Shell Version -- Data File -- File Contents -- Reverse File Contents -- My First Script -- Line Breaks -- Redirection Operator -- Installing Tools -- Permissions -- Debug -- Save Output -- Web Identifiers -- Single and Double Quotes -- Comments -- Data Retrieval -- Standard Error Output -- Data Extraction -- Single and Multiple Patterns -- Data Elements Selection -- Task Repetition -- Assembly Line -- File Header -- Variable -- XML Processing -- Human Proteins -- PubMed Identifiers -- PubMed Identifiers Extraction -- Duplicate Removal -- Complex Elements -- XPath -- Namespace Problems -- Only Local Names -- Queries -- Extracting XPath Results -- Text Retrieval -- Publication URL -- Title and Abstract -- Disease Recognition -- Further Reading -- 4 Text Processing -- Pattern Matching -- Case Insensitive Matching -- Number of Matches -- Invert Match -- File Differences -- Evaluation Metrics -- Word Matching -- Regular Expressions -- Extended Syntax -- Alternation -- Basic Syntax. , Scope -- Multiple Alternatives -- Multiple Characters -- Spaces -- Groups -- Ranges -- Negation -- Quantifiers -- Optional -- Multiple and Optional -- Multiple and Compulsory -- All Options -- Position -- Beginning -- Ending -- Near the End -- Word in Between -- Full Line -- Match Position -- Tokenization -- Character Delimiters -- Wrong Tokens -- String Replacement -- Multi-character Delimiters -- Keep Delimiters -- Sentences File -- Entity Recognition -- Select the Sentence -- Pattern File -- Relation Extraction -- Multiple Filters -- Relation Type -- Remove Relation Types -- Further Reading -- 5 Semantic Processing -- Classes -- OWL Files -- Class Label -- Class Definition -- Related Classes -- URIs and Labels -- URI of a Label -- Label of a URI -- Synonyms -- URI of Synonyms -- Parent Classes -- Labels of Parents -- Related Classes -- Labels of Related Classes -- Ancestors -- Grandparents -- Root Class -- Recursion -- Iteration -- My Lexicon -- Ancestors Labels -- Merging Labels -- Ancestors Matched -- Generic Lexicon -- All Labels -- Problematic Entries -- Special Characters Frequency -- Completeness -- Removing Special Characters -- Removing Extra Terms -- Removing Extra Spaces -- Disease Recognition -- Performance -- Inverted Recognition -- Case Insensitive -- ASCII Encoding -- Correct Matches -- Incorrect Matches -- Entity Linking -- Modified Labels -- Ambiguity -- Surrounding Entities -- Semantic Similarity -- Measures -- DiShIn Installation -- Database File -- DiShIn Execution -- Large Lexicons -- MER Installation -- Lexicon Files -- MER Execution -- Further Reading -- Bibliography -- Index.
    Additional Edition: Print version: Couto, Francisco M. Data and Text Processing for Health and Life Sciences Cham : Springer International Publishing AG,c2019 ISBN 9783030138448
    Language: English
    Subjects: Computer Science , Biology
    RVK:
    RVK:
    Keywords: Electronic books.
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    almahu_9949595429202882
    Format: 1 online resource (XV, 98 p. 483 illus., 74 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-13845-3
    Series Statement: Advances in Experimental Medicine and Biology, 1137
    Content: This 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.
    Note: Preface -- Introduction -- Resources -- Data Retrieval -- Text Processing -- Semantic processing -- Index. , English
    Additional Edition: ISBN 3-030-13844-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    edoccha_9959090534902883
    Format: 1 online resource (XV, 98 p. 483 illus., 74 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-13845-3
    Series Statement: Advances in Experimental Medicine and Biology, 1137
    Content: This 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.
    Note: Preface -- Introduction -- Resources -- Data Retrieval -- Text Processing -- Semantic processing -- Index. , English
    Additional Edition: ISBN 3-030-13844-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Cham : Springer Nature | Cham :Springer International Publishing :
    UID:
    edocfu_9959090534902883
    Format: 1 online resource (XV, 98 p. 483 illus., 74 illus. in color.)
    Edition: 1st ed. 2019.
    ISBN: 3-030-13845-3
    Series Statement: Advances in Experimental Medicine and Biology, 1137
    Content: This 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.
    Note: Preface -- Introduction -- Resources -- Data Retrieval -- Text Processing -- Semantic processing -- Index. , English
    Additional Edition: ISBN 3-030-13844-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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