Transcriptome Analysis (Record no. 76143)

MARC details
000 -LEADER
fixed length control field 02156naaaa2200313uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/67088
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220083214.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number intechopen.77860
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789843286
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789843279
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781789852639
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/intechopen.77860
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MFN
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Blumenberg, Miroslav
Relationship edt
245 10 - TITLE STATEMENT
Title Transcriptome Analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. IntechOpen
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (108 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Transcriptome analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced under specific circumstances, using high-throughput methods. Transcription profiling, which follows total changes in the behavior of a cell, is used throughout diverse areas of biomedical research, including diagnosis of disease, biomarker discovery, risk assessment of new drugs or environmental chemicals, etc. Transcriptome analysis is most commonly used to compare specific pairs of samples, for example, tumor tissue versus its healthy counterpart. In this volume, Dr. Pyo Hong discusses the role of long RNA sequences in transcriptome analysis, Dr. Shinichi describes the next-generation single-cell sequencing technology developed by his team, Dr. Prasanta presents transcriptome analysis applied to rice under various environmental factors, Dr. Xiangyuan addresses the reproductive systems of flowering plants and Dr. Sadovsky compares codon usage in conifers.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/3.0/
Source of term cc
-- https://creativecommons.org/licenses/by/3.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Medical genetics
Source of heading or term bicssc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Medical genetics
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Blumenberg, Miroslav
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mts.intechopen.com/storage/books/8029/authors_book/authors_book.pdf">https://mts.intechopen.com/storage/books/8029/authors_book/authors_book.pdf</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/67088">https://directory.doabooks.org/handle/20.500.12854/67088</a>
Access status 0
Public note DOAB: description of the publication

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