Genome data analysis
This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and filtering, prim...
Main Author: | Kim, Ju Han, |
---|---|
Other Authors: | SpringerLink (Online service) |
Format: | eBook |
Language: | English Korean |
Published: |
Singapore :
Springer,
[2019]
|
Physical Description: |
1 online resource (xvi, 367 pages) : illustrations. |
Series: |
Learning materials in biosciences.
|
Subjects: |
LEADER | 06582cam a2200949 i 4500 | ||
---|---|---|---|
001 | 1099685395 | ||
003 | OCoLC | ||
005 | 20240223121953.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 190503t20192019si a ob 000 0 eng d | ||
015 | |a GBB995123 |2 bnb | ||
016 | 7 | |a 019390193 |2 Uk | |
019 | |a 1103764102 |a 1105191198 |a 1111071795 |a 1115089040 |a 1122819007 |a 1126115281 |a 1156371628 |a 1162686407 |a 1204011364 | ||
020 | |a 9789811319426 |q (electronic bk.) | ||
020 | |a 9811319421 |q (electronic bk.) | ||
020 | |z 9789811319433 |q (print) | ||
020 | |z 981131943X |q (print) | ||
020 | |z 9789811319419 |q (paperback) | ||
020 | |z 9811319413 |q (paperback) | ||
024 | 7 | |a 10.1007/978-981-13-1942-6 |2 doi | |
024 | 8 | |a 10.1007/978-981-13-1 | |
035 | |a (OCoLC)1099685395 |z (OCoLC)1103764102 |z (OCoLC)1105191198 |z (OCoLC)1111071795 |z (OCoLC)1115089040 |z (OCoLC)1122819007 |z (OCoLC)1126115281 |z (OCoLC)1156371628 |z (OCoLC)1162686407 |z (OCoLC)1204011364 | ||
037 | |a com.springer.onix.9789811319426 |b Springer Nature | ||
040 | |a YDX |b eng |e rda |e pn |c YDX |d GW5XE |d YDXIT |d UPM |d UKMGB |d OCLCF |d LQU |d OCLCQ |d VT2 |d EBLCP |d LEATE |d OCLCQ |d UKAHL |d PIF |d DCT |d OCLCQ |d OCLCO |d OCLCQ |d CASUM |d OCLCO |d OCLCL | ||
041 | 1 | |a eng |h kor | |
049 | |a COM6 | ||
050 | 4 | |a QH447 |b .K5613 2019 | |
060 | 4 | |a QU 26.5 | |
072 | 7 | |a PSD |2 bicssc | |
072 | 7 | |a SCI056000 |2 bisacsh | |
072 | 7 | |a PSD |2 thema | |
072 | 7 | |a UB |2 thema | |
082 | 0 | 4 | |a 572.8/6 |2 23 |
100 | 1 | |a Kim, Ju Han, |e author. | |
245 | 1 | 0 | |a Genome data analysis / |c Ju Han Kim ; translated by Younghee Lee. |
264 | 1 | |a Singapore : |b Springer, |c [2019] | |
264 | 4 | |c ©2019. | |
300 | |a 1 online resource (xvi, 367 pages) : |b illustrations. | ||
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. | ||
347 | |b PDF. | ||
490 | 1 | |a Learning Materials in Biosciences, |x 2509-6125. | |
504 | |a Includes bibliographical references. | ||
588 | 0 | |a Online resource; title from digital title page (viewed on May 17, 2019). | |
505 | 0 | |a Part 1. BIOINFORMATICS FOR LIFE AND PERSONAL GENOME INTERPRETATION -- Chapter 1. Bioinformatics For Life -- Chapter 2. Next Generation Sequencing and Personal Genome Data Analysis -- Chapter 3. Personal Genome Data Analysis -- Chapter 4. Personal Genome Interpretation and Disease Risk Prediction -- Part 2. ADVANCED MICROARRAY DATA ANALYSIS -- Chapter 5. Advanced Microarray Data Analysis -- Chapter 6. Gene Expression Data Analysis -- Chapter 7. Gene Ontology and Biological Pathway-based Analysis -- Chapter 8. Gene-set Approaches and Prognostic Subgroup Prediction -- Chapter 9. MicroRNA Data Analysis -- Part 3. NETWORK BIOLOGY, SEQUENCE, PATHWAY AND ONTOLOGY INFORMATICS -- Chapter 10. Network Biology, Sequence, Pathway and Ontology Informatics -- Chapter 11. Motif and Regulatory Sequence Analysis -- Chapter 12. Molecular Pathways and Gene Ontology -- Chapter 13. Biological Network Analysis -- Part 4. SNPS, GWAS AND CNVS, INFORMATICS FOR GENOME VARIANTS -- Chapter 14. SNPs, GWAS, CNVs: Informatics for Human Genome Variations -- Chapter 15. SNP Data Analysis -- Chapter 16. GWAS Data Analysis -- Chapter 17. CNV Data Analysis -- Part 5. METAGENOME AND EPIGENOME, BASIC DATA ANALYSIS -- Chapter 18. Metagenome and Epigenome Data Analysis -- Chapter 19. Metagenome Data Analysis -- Chapter 20. Epigenome Databases and Tools -- Chapter 21. Epigenome Data Analysis -- Appendix A. BASIC PRACTICE USING R FOR DATA ANALYSIS -- Appendix B. APPLICATION PROGRAM FOR GENOME DATA ANALYSIS INSTALL GUIDE. | |
520 | |a This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. This textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics. | ||
650 | 0 | |a Genomics. | |
650 | 1 | 2 | |a Computational Biology |x methods. |
650 | 1 | 2 | |a Sequence Analysis, DNA. |
650 | 2 | 2 | |a Databases, Genetic. |
650 | 2 | 2 | |a Oligonucleotide Array Sequence Analysis. |
650 | 2 | |a Genomics. | |
650 | 6 | |a Génomique. | |
650 | 7 | |a Genomics. |2 fast. | |
655 | 4 | |a Index not Present. | |
710 | 2 | |a SpringerLink (Online service) | |
776 | 0 | 8 | |i Print version: |a Kim, Ju Han. |t Genome data analysis. |d Singapore : Springer, [2019] |z 9811319413 |z 9789811319419 |w (OCoLC)1043585394. |
830 | 0 | |a Learning materials in biosciences. |x 2509-6125. | |
907 | |a .b59564489 |b multi |c - |d 190528 |e 240321 | ||
998 | |a (3)cue |a cu |a fl |b 240227 |c m |d z |e - |f eng |g si |h 0 |i 2 | ||
948 | |a MARCIVE Overnight, in 2024.03 | ||
948 | |a MARCIVE Overnight, in 2023.02 | ||
948 | |a MARCIVE Over, 07/2021 | ||
948 | |a MARCIVE Comp, 2019.12 | ||
948 | |a MARCIVE Overnight 06/2019 | ||
994 | |a 92 |b COM | ||
995 | |a Loaded with m2btab.ltiac in 2024.03 | ||
995 | |a Loaded with m2btab.elec in 2024.02 | ||
995 | |a Loaded with m2btab.ltiac in 2023.02 | ||
995 | |a Loaded with m2btab.ltiac in 2021.07 | ||
995 | |a Loaded with m2btab.elec in 2021.06 | ||
995 | |a Loaded with m2btab.ltiac in 2019.12 | ||
995 | |a Loaded with m2btab.ltiac in 2019.06 | ||
995 | 0 | 0 | |a OCLC offline update by CMU and loaded with m2btab.elec in 2019.05 |
999 | |e z | ||
999 | |a cue | ||
908 | |a .o28361258 | ||
988 | |a .o28361258 |c 1 |j flgmn |f b |k z |x 200518 |y |z |3 |l flgmn | ||
989 | |d cueme |e - - |f - - |g - |h 0 |i 0 |j 200 |k 240227 |l $0.00 |m |n - - |o - |p 0 |q 0 |t 0 |x 0 |w SpringerLink |1 .i150623781 |u http://ezproxy.coloradomesa.edu/login?url=https://link.springer.com/10.1007/978-981-13-1942-6 |3 SpringerLink |z Click here for access |