Bioinformatic and Statistical Analysis of Microbiome Data (Record no. 184736)

MARC details
000 -LEADER
fixed length control field 03735nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-031-21391-5
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130054.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230515s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031213915
-- 978-3-031-21391-5
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-21391-5
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH324.2-324.25
072 #7 - SUBJECT CATEGORY CODE
Subject category code UY
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PS
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM082000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code PSAX
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 570.285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Xia, Yinglin.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
245 10 - TITLE STATEMENT
Title Bioinformatic and Statistical Analysis of Microbiome Data
Medium [electronic resource] :
Remainder of title From Raw Sequences to Advanced Modeling with QIIME 2 and R /
Statement of responsibility, etc by Yinglin Xia, Jun Sun.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2023.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 703 p. 75 illus., 59 illus. in color.
Other physical details online resource.
336 ## -
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-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Introduction to Linux and Unix -- Chapter 2. Introduction to R, Rstudio -- Chapter 3. Bioinformatic Analysis of Next-Generation Sequencing -- Chapter 4. Bioinformatic Analysis of Metagenomics -- Chapter 5. Alpha Diversity -- Chapter 6. Beta Diversity -- Chapter 7. Differential Abundance Analysis -- Chapter 8. Analyzing Zero-Inflated Microbiome Data -- Chapter 9. Compositional Analysis of Microbiome Data -- Chapter 10. Longitudinal Data Analysis of Microbiome -- Chapter 11. Meta-analysis of Microbiome Data (optional).
520 ## - SUMMARY, ETC.
Summary, etc This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biometry.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biotechnology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biostatistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big Data.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics and Computing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biotechnology.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biomedical Engineering and Bioengineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sun, Jun.
Relator term author.
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031213908
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031213922
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031213939
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-21391-5">https://doi.org/10.1007/978-3-031-21391-5</a>
912 ## -
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912 ## -
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

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