Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Transcriptomics in Health and Disease
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Transcriptomics in Health and Disease/ edited by Geraldo A. Passos.
other author:
Passos, Geraldo A.
Description:
XI, 474 p. 67 illus., 62 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Genetics. -
Online resource:
https://doi.org/10.1007/978-3-030-87821-4
ISBN:
9783030878214
Transcriptomics in Health and Disease
Transcriptomics in Health and Disease
[electronic resource] /edited by Geraldo A. Passos. - 2nd ed. 2022. - XI, 474 p. 67 illus., 62 illus. in color.online resource.
1. What is the transcriptome and how it is evaluated? -- 2. ALTERNATIVE SPLICING OF PRE-MESSENGER RNA -- 3. Transcriptome Analysis Using RNA-seq and scRNA-seq -- 4. TRANSCRIPTOMICS OF NEONATAL AND INFANT HUMAN THYMUS -- 5. Transcriptomics at the single cell level and human diseases: opportunities and challenges in data processing and analysis -- 6. METHODS FOR GENE CO-EXPRESSION NETWORK VISUALIZATION AND ANALYSIS -- 7. Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data -- 8. The Interplay Between the Transcriptomics and Proteomics Profiles -- 9. TRANSCRIPTOME DURING NORMAL CELL DIFFERENTIATION -- 10. Transcriptomics to dissect the Immune System -- 11. Transcriptome Profiling in Autoimmune Diseases -- 12. Transcriptome Profiling in Experimental Inflammatory Arthritis -- 13. TRANSCRIPTOMICS AND IMMUNE RESPONSE IN HUMAN CANCER -- 14. MicroRNAs in Cancer -- 15. Oxidative Stress, DNA Damage and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitus -- 16. Large-scale gene expression in monogenic and complex genetic diseases -- 17. Transcriptome in Human Mycoses -- 18. Understanding Chagas Disease by Multi-omics data Integration, Functional and Enrichment Computational Analysis.
The study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.
ISBN: 9783030878214
Standard No.: 10.1007/978-3-030-87821-4doiSubjects--Topical Terms:
578972
Genetics.
LC Class. No.: QH426-470
Dewey Class. No.: 576.5
Transcriptomics in Health and Disease
LDR
:03546nam a22003855i 4500
001
1089710
003
DE-He213
005
20220307130610.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030878214
$9
978-3-030-87821-4
024
7
$a
10.1007/978-3-030-87821-4
$2
doi
035
$a
978-3-030-87821-4
050
4
$a
QH426-470
072
7
$a
PSAK
$2
bicssc
072
7
$a
SCI029000
$2
bisacsh
072
7
$a
PSAK
$2
thema
082
0 4
$a
576.5
$2
23
245
1 0
$a
Transcriptomics in Health and Disease
$h
[electronic resource] /
$c
edited by Geraldo A. Passos.
250
$a
2nd ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
XI, 474 p. 67 illus., 62 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
1. What is the transcriptome and how it is evaluated? -- 2. ALTERNATIVE SPLICING OF PRE-MESSENGER RNA -- 3. Transcriptome Analysis Using RNA-seq and scRNA-seq -- 4. TRANSCRIPTOMICS OF NEONATAL AND INFANT HUMAN THYMUS -- 5. Transcriptomics at the single cell level and human diseases: opportunities and challenges in data processing and analysis -- 6. METHODS FOR GENE CO-EXPRESSION NETWORK VISUALIZATION AND ANALYSIS -- 7. Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data -- 8. The Interplay Between the Transcriptomics and Proteomics Profiles -- 9. TRANSCRIPTOME DURING NORMAL CELL DIFFERENTIATION -- 10. Transcriptomics to dissect the Immune System -- 11. Transcriptome Profiling in Autoimmune Diseases -- 12. Transcriptome Profiling in Experimental Inflammatory Arthritis -- 13. TRANSCRIPTOMICS AND IMMUNE RESPONSE IN HUMAN CANCER -- 14. MicroRNAs in Cancer -- 15. Oxidative Stress, DNA Damage and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitus -- 16. Large-scale gene expression in monogenic and complex genetic diseases -- 17. Transcriptome in Human Mycoses -- 18. Understanding Chagas Disease by Multi-omics data Integration, Functional and Enrichment Computational Analysis.
520
$a
The study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.
650
0
$a
Genetics.
$3
578972
650
0
$a
Genetic transcription.
$3
668611
650
0
$a
Molecular biology.
$3
583443
650
0
$a
Bioinformatics.
$3
583857
650
1 4
$a
Genetics and Genomics.
$3
1229010
650
2 4
$a
Gene Transcription.
$3
1396412
650
2 4
$a
Molecular Biology.
$3
599552
700
1
$a
Passos, Geraldo A.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1297029
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030878207
776
0 8
$i
Printed edition:
$z
9783030878221
856
4 0
$u
https://doi.org/10.1007/978-3-030-87821-4
912
$a
ZDB-2-SBL
912
$a
ZDB-2-SXB
950
$a
Biomedical and Life Sciences (SpringerNature-11642)
950
$a
Biomedical and Life Sciences (R0) (SpringerNature-43708)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login