Primer to analysis of genomic data using R:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham [u.a.]
Springer
2015
|
| Schriftenreihe: | Use R!
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FRO01 TUM01 UBM01 UBT01 UBW01 UPA01 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XVI, 270 S.) 79 illus., 74 illus. in color |
| ISBN: | 9783319144757 |
| ISSN: | 2197-5736 |
| DOI: | 10.1007/978-3-319-14475-7 |
Internformat
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| 245 | 1 | 0 | |a Primer to analysis of genomic data using R |c Cedric Gondro |
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| 650 | 4 | |a Gene expression | |
| 650 | 4 | |a DNA microarrays | |
| 650 | 4 | |a Mathematical statistics | |
| 650 | 4 | |a Statistics for Life Sciences, Medicine, Health Sciences | |
| 650 | 4 | |a Statistics and Computing/Statistics Programs | |
| 650 | 4 | |a Gene Expression | |
| 650 | 4 | |a Microarrays | |
| 650 | 4 | |a Statistik | |
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Datensatz im Suchindex
| _version_ | 1804174754737815552 |
|---|---|
| adam_text | PRIMER TO ANALYSIS OF GENOMIC DATA USING R
/ GONDRO, CEDRIC
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
R BASICS
SIMPLE MARKER ASSOCIATION TESTS
GENOME WIDE ASSOCIATION STUDIES
POPULATION AND GENETIC ARCHITECTURE
GENE EXPRESSION ANALYSIS
DATABASES AND FUNCTIONAL INFORMATION
EXTENDING R
FINAL COMMENTS
INDEX
REFERENCES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PRIMER TO ANALYSIS OF GENOMIC DATA USING R
/ GONDRO, CEDRIC
: 2015
ABSTRACT / INHALTSTEXT
THROUGH THIS BOOK, RESEARCHERS AND STUDENTS WILL LEARN TO USE R FOR
ANALYSIS OF LARGE-SCALE GENOMIC DATA AND HOW TO CREATE ROUTINES TO
AUTOMATE ANALYTICAL STEPS. THE PHILOSOPHY BEHIND THE BOOK IS TO START
WITH REAL WORLD RAW DATASETS AND PERFORM ALL THE ANALYTICAL STEPS NEEDED
TO REACH FINAL RESULTS. THOUGH THEORY PLAYS AN IMPORTANT ROLE, THIS IS A
PRACTICAL BOOK FOR ADVANCED UNDERGRADUATE AND GRADUATE CLASSES IN
BIOINFORMATICS, GENOMICS AND STATISTICAL GENETICS OR FOR USE IN LAB
SESSIONS. THIS BOOK IS ALSO DESIGNED TO BE USED BY STUDENTS IN COMPUTER
SCIENCE AND STATISTICS WHO WANT TO LEARN THE PRACTICAL ASPECTS OF
GENOMIC ANALYSIS WITHOUT DELVING INTO ALGORITHMIC DETAILS. THE DATASETS
USED THROUGHOUT THE BOOK MAY BE DOWNLOADED FROM THE PUBLISHER’S
WEBSITE. CHAPTERS SHOW HOW TO HANDLE AND MANAGE HIGH-THROUGHPUT
GENOMIC DATA, CREATE AUTOMATED WORKFLOWS AND SPEED UP ANALYSES IN R.A
WIDE RANGE OF R PACKAGES USEFUL FOR WORKING WITH GENOMIC DATA ARE
ILLUSTRATED WITH PRACTICAL EXAMPLES. IN RECENT YEARS R HAS BECOME THE DE
FACTO TOOL FOR ANALYSIS OF GENE EXPRESSION DATA, IN ADDITION TO ITS
PROMINENT ROLE IN THE ANALYSIS OF GENOMIC DATA. BENEFITS TO USING R
INCLUDE THE INTEGRATED DEVELOPMENT ENVIRONMENT FOR ANALYSIS, FLEXIBILITY
AND CONTROL OF THE ANALYTIC WORKFLOW. AT A TIME WHEN GENOMIC DATA IS
DECIDEDLY BIG, THE SKILLS FROM THIS BOOK ARE CRITICAL. THE KEY TOPICS
COVERED ARE ASSOCIATION STUDIES, GENOMIC PREDICTION, ESTIMATION OF
POPULATION GENETIC PARAMETERS AND DIVERSITY, GENE EXPRESSION ANALYSIS,
FUNCTIONAL ANNOTATION OF RESULTS USING PUBLICALLY AVAILABLE DATABASES
AND HOW TO WORK EFFICIENTLY IN R WITH LARGE GENOMIC DATASETS. IMPORTANT
PRINCIPLES ARE DEMONSTRATED AND ILLUSTRATED THROUGH ENGAGING EXAMPLES
WHICH INVITE THE READER TO WORK WITH THE PROVIDED DATASETS.SOME METHODS
THAT ARE DISCUSSED IN THIS VOLUME INCLUDE: SIGNATURES OF SELECTION;
POPULATION PARAMETERS (LD, FST, FIS, ETC); USE OF A GENOMIC RELATIONSHIP
MATRIX FOR POPULATION DIVERSITY STUDIES; USE OF SNP DATA FOR PARENTAGE
TESTING; SNPBLUP AND GBLUP FOR GENOMIC PREDICTION. STEP-BY-STEP, ALL THE
R CODE REQUIRED FOR A GENOME-WIDE ASSOCIATION STUDY IS SHOWN: STARTING
FROM RAW SNP DATA, HOW TO BUILD DATABASES TO HANDLE AND MANAGE THE DATA,
QUALITY CONTROL AND FILTERING MEASURES, ASSOCIATION TESTING AND
EVALUATION OF RESULTS, THROUGH TO IDENTIFICATION AND FUNCTIONAL
ANNOTATION OF CANDIDATE GENES. SIMILARLY, GENE EXPRESSION ANALYSES ARE
SHOWN USING MICROARRAY AND RNASEQ DATA.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Gondro, Cedric |
| author_facet | Gondro, Cedric |
| author_role | aut |
| author_sort | Gondro, Cedric |
| author_variant | c g cg |
| building | Verbundindex |
| bvnumber | BV042592099 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA |
| ctrlnum | (OCoLC)910749758 (DE-599)BVBBV042592099 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-319-14475-7 |
| format | Electronic eBook |
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| illustrated | Illustrated |
| indexdate | 2024-07-10T07:05:25Z |
| institution | BVB |
| isbn | 9783319144757 |
| issn | 2197-5736 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028025311 |
| oclc_num | 910749758 |
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| physical | 1 Online-Ressource (XVI, 270 S.) 79 illus., 74 illus. in color |
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| series2 | Use R! |
| spelling | Gondro, Cedric Verfasser aut Primer to analysis of genomic data using R Cedric Gondro Cham [u.a.] Springer 2015 1 Online-Ressource (XVI, 270 S.) 79 illus., 74 illus. in color txt rdacontent c rdamedia cr rdacarrier Use R! 2197-5736 Statistics Gene expression DNA microarrays Mathematical statistics Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Gene Expression Microarrays Statistik Erscheint auch als Druckausgabe 978-3-319-14474-0 https://doi.org/10.1007/978-3-319-14475-7 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025311&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028025311&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Gondro, Cedric Primer to analysis of genomic data using R Statistics Gene expression DNA microarrays Mathematical statistics Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Gene Expression Microarrays Statistik |
| title | Primer to analysis of genomic data using R |
| title_auth | Primer to analysis of genomic data using R |
| title_exact_search | Primer to analysis of genomic data using R |
| title_full | Primer to analysis of genomic data using R Cedric Gondro |
| title_fullStr | Primer to analysis of genomic data using R Cedric Gondro |
| title_full_unstemmed | Primer to analysis of genomic data using R Cedric Gondro |
| title_short | Primer to analysis of genomic data using R |
| title_sort | primer to analysis of genomic data using r |
| topic | Statistics Gene expression DNA microarrays Mathematical statistics Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Gene Expression Microarrays Statistik |
| topic_facet | Statistics Gene expression DNA microarrays Mathematical statistics Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Gene Expression Microarrays Statistik |
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