Data and Text Processing for Health and Life Sciences

107 Pages·2019·2.917 MB·English

by  Francisco M. Couto

Advances in Experimental Medicine and Biology 1137
Francisco Couto
Data and Text
Processing for
Health and Life
Sciences
Advances in Experimental Medicine
and Biology
Volume 1137
EditorialBoard
IRUNR.COHEN,TheWeizmannInstituteofScience,Rehovot,Israel
ABELLAJTHA,N.S.KlineInstituteforPsychiatricResearch,
Orangeburg,NY,USA
JOHND.LAMBRIS,UniversityofPennsylvania,Philadelphia,PA,USA
RODOLFOPAOLETTI,UniversityofMilan,Milano,Italy
NIMAREZAEI,TehranUniversityofMedicalSciences,
Children’sMedicalCenterHospital,Tehran,Iran
Moreinformationaboutthisseriesathttp://www.springer.com/series/5584
Francisco M. Couto
Data and Text
Processing for Health
and Life Sciences
123
FranciscoM.Couto
LASIGE,DepartmentofInformatics
FaculdadedeCiências,UniversidadedeLisboa
Lisbon,Portugal
ISSN0065-2598 ISSN2214-8019 (electronic)
AdvancesinExperimentalMedicineandBiology
ISBN978-3-030-13844-8 ISBN978-3-030-13845-5 (eBook)
https://doi.org/10.1007/978-3-030-13845-5
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Aosmeuspais,FranciscodeOliveiraCoutoe
MariaFernandadosSantosMoreiraCouto.
Preface
During the last decades, I witnessed the growing importance of computer
scienceskillsforcareeradvancementinHealthandLifeSciences.However,
not everyone has the skill, inclination, or time to learn computer program-
ming.Thelearningprocessisusuallytime-consumingandrequiresconstant
practice, since software frameworks and programming languages change
substantiallyovertime.Thisisthemainmotivationforwritingthisbookabout
usingshellscriptingtoaddresscommonbiomedicaldataandtextprocessing
tasks. Shell scripting has the advantages of being: (i) nowadays available
in almost all personal computers; (ii) almost immutable for more than four
decades;(iii)relativelyeasytolearnasasequenceofindependentcommands;
(iv) an incremental and direct way to solve many of the data problems that
HealthandLifeprofessionalsface.
Duringthelastdecades,Ihadthepleasuretoteachintroductorycomputer
scienceclassestoLifeandHealthandLifeSciencesundergraduates.Iused
programming languages, such as Perl and Python, to address data and text
processing tasks, but I always felt to lose a substantial amount of the time
teaching the technicalities of these languages, which will probably change
over time and are uninteresting for the majority of the students who do not
intendtopursueadvancedbioinformaticscourses.Thus,thepurposeofthis
book is to motivate and help specialists to automate common data and text
processingtasksafterashortlearningperiod.Iftheybecomeinterested(and
Ihopesomedo),thebookpresentspointerstowheretheycanacquiremore
advancedcomputerscienceskills.
This book does not intend to be a comprehensive compendium of shell
scripting commands but instead an introductory guide for Health and Life
specialists. This book introduces the commands as they are required to
automate data and text processing tasks. The selected tasks have a strong
focusontextminingandbiomedicalontologiesgivenmyresearchexperience
and their growing relevance for Health and Life studies. Nevertheless, the
same type of solutions presented in the book are also applicable to many
otherresearchfieldsanddatasources.
Lisboa,Portugal FranciscoM.Couto
January2019
vii
Acknowledgments
I am grateful to all the people who helped and encouraged me along this
journey, especially to Rita Ferreira for all the insightful discussions about
shellscripting.
I am also grateful for all the suggestions and corrections given by my
colleague Prof. José Baptista Coelho and by my college students: Alice
Veiros,AnaFerreira,CarlotaSilva,CatarinaRaimundo,DanielaMatias,Inês
Justo, João Andrade, João Leitão, João Pedro Pais, Konil Solanki, Mariana
Custódio, Marta Cunha, Manuel Fialho, Miguel Silva, Rafaela Marques,
RaquelChoraandSofiaMorais.
ThisworkwassupportedbyFCTthroughfundingofDeST:DeepSeman-
tic Tagger project, ref. PTDC/CCI-BIO/28685/2017 (http://dest.rd.ciencias.
ulisboa.pt/),andLASIGEResearchUnit,ref.UID/CEC/00408/2019.
ix
Contents
1 Introduction .............................................. 1
BiomedicalDataRepositories................................. 1
ScientificText.............................................. 1
AmountofText ............................................ 2
AmbiguityandContextualization.............................. 2
BiomedicalOntologies ...................................... 2
ProgrammingSkills ......................................... 2
WhyThisBook? ........................................... 4
Third-PartySolutions................................... 5
SimplePipelines....................................... 5
HowThisBookHelpsHealthandLifeSpecialists?............... 5
ShellScripting......................................... 5
TextFiles............................................. 6
RelationalDatabases ................................... 7
WhatIsintheBook? ........................................ 7
CommandLineTools................................... 7
Pipelines ............................................. 8
RegularExpressions.................................... 8
Semantics ............................................ 8
2 Resources................................................. 9
BiomedicalText ............................................ 9
What?................................................ 9
Where?............................................... 10
How? ................................................ 11
Semantics ................................................. 11
What?................................................ 12
Where?............................................... 13
How? ................................................ 14
FurtherReading ............................................ 15
3 DataRetrieval............................................. 17
CaffeineExample........................................... 17
UnixShell................................................. 24
CurrentDirectory ...................................... 24
WindowsDirectories ................................... 25
ChangeDirectory ...................................... 26
UsefulKeyCombinations ............................... 26
xi
xii Contents
ShellVersion ......................................... 26
DataFile............................................. 26
FileContents ......................................... 27
ReverseFileContents .................................. 27
MyFirstScript........................................ 27
LineBreaks .......................................... 27
RedirectionOperator................................... 27
InstallingTools ....................................... 28
Permissions .......................................... 28
Debug ............................................... 28
SaveOutput .......................................... 29
WebIdentifiers ............................................ 29
SingleandDoubleQuotes .............................. 30
Comments ........................................... 30
DataRetrieval ............................................. 30
StandardErrorOutput.................................. 32
DataExtraction ............................................ 32
SingleandMultiplePatterns ............................ 33
DataElementsSelection................................ 34
TaskRepetition ............................................ 34
AssemblyLine........................................ 35
FileHeader........................................... 36
Variable.............................................. 36
XMLProcessing ........................................... 36
HumanProteins....................................... 36
PubMedIdentifiers .................................... 37
PubMedIdentifiersExtraction ........................... 37
DuplicateRemoval .................................... 38
ComplexElements .................................... 39
XPath ............................................... 39
NamespaceProblems .................................. 39
OnlyLocalNames..................................... 39
Queries .............................................. 40
ExtractingXPathResults ............................... 41
TextRetrieval ............................................. 41
PublicationURL ...................................... 41
TitleandAbstract ..................................... 42
DiseaseRecognition ................................... 43
FurtherReading............................................ 43
4 TextProcessing ........................................... 45
PatternMatching........................................... 45
CaseInsensitiveMatching .............................. 45
NumberofMatches.................................... 46
InvertMatch.......................................... 46
FileDifferences ....................................... 46
EvaluationMetrics .................................... 47
WordMatching ....................................... 47