Practical bioinformatics for beginners: from raw sequence analysis to machine learning applications
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New Jersey ; London ; Singapore
World Scientific
[2023]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xiii, 253 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811258985 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048889457 | ||
| 003 | DE-604 | ||
| 005 | 20230517 | ||
| 007 | t | ||
| 008 | 230404s2023 a||| |||| 00||| eng d | ||
| 020 | |a 9789811258985 |9 978-981-1258-98-5 | ||
| 035 | |a (OCoLC)1379388457 | ||
| 035 | |a (DE-599)BVBBV048889457 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-1028 |a DE-703 |a DE-11 | ||
| 084 | |a WC 7700 |0 (DE-625)148144: |2 rvk | ||
| 245 | 1 | 0 | |a Practical bioinformatics for beginners |b from raw sequence analysis to machine learning applications |c edited by Lloyd Low, Martti Tammi |
| 264 | 1 | |a New Jersey ; London ; Singapore |b World Scientific |c [2023] | |
| 300 | |a xiii, 253 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a High throughput screening |0 (DE-588)4596131-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
| 689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | 1 | |a High throughput screening |0 (DE-588)4596131-1 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Low, Lloyd |0 (DE-588)1141084112 |4 edt | |
| 700 | 1 | |a Tammi, Martti |0 (DE-588)1141084619 |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-981-125-900-5 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-981-125-899-2 |
| 856 | 4 | 2 | |m Digitalisierung UB Augsburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |m Digitalisierung UB Augsburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-034154055 | ||
Datensatz im Suchindex
| _version_ | 1804185043360284672 |
|---|---|
| adam_text | Contents Foreword from the First Edition Olivo Miotto v Foreword from the First Edition Nazar Zaki vii Preface Acknowledgements ix xiii Chapter 1 Introduction to Next Generation Sequencing Technologies 1 Lloyd Low and Martti T. Tammi Chapter 2 Primer on Linux 23 Adeel Malik and Muhammad Farhan Sj augi Chapters I nspection of Sequence Quality 49 Kwong Qi Bin, Ong Ai Ling, Heng Huey Ying and Martti T Tammi Chapter 4 Alignment of Sequenced Reads 67 Akzam Saidin Chapter 5 Establish a Research Workflow 79 Joel Low Zi-Bin and Heng Huey Ying Chapter 6 De novo Assembly of a Genome Joel Low Zi-Bin, Martti T. Tammi and Wai Yee Low xi 107
xii Practical Bioinformatics for Beginners Chapter 7 Exorne Sequencing 127 Setiä Promana, Kwong Qi Bin, Heng Huey Ying, Nuha Hassim and Ong Ai Ling Chapter 8 Transcriptomics 141 Yan Ren, Akzam Saidin and Wai Yee Low Chapter 9 Metagenomics 165 Sim Chun Hock, Kee Shao Yong, Ong Ai Ling, Heng Huey Ying and Teh Chee Keng Chapter 10 Applications of NGS Data 187 Teh Chee Keng, Ong Ai Ling and Kwong Qi Bin Chapter 11 Predicting Human Enhancers with Machine Learning 223 Callum MacPhillamy and Wai Yee Low Index 251
“This book contains a series of tutorials for a biologist who wants to learn to analyze large-scale sequence data. It covers the basics, as well as more advanced methods. It is a very practical guide with useful examples and it will provide a way for researchers to build a foundation in bioinformatic sequence analysis. I will recommend it to my group members. ” Björn Andersson Department of Cell Molecular Biology, Karolinska Institutet Review from the 1st edition: “The book is a great practical introduction to the bioinformatics analysis of next generation sequencing data, covering all the major areas of analysis, from quality control and alignment to domain-specific analysis such as variant calling and transcriptomics. The book is highly practical with well-chosen and relevant exercises for readers who want to get their feet wet analysing sequencing data. It is excellent resource for conducting practical classes or workshops. The exercises are highly relevant and the book covers major areas for next generation bioinformatics, making it suitable for beginners, but also experienced practitioners looking to try out analyses in a different domain. ” Kenneth Hon Kim BAN, MBBS, PhD Assistant Professor, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS Assistant Principal Investigator, Institute of Molecular and Cell Biology, A’STAR Next-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However,
it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture. This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms; hence, making themselves more attractive to employers who need skilled bioinformaticians.
|
| adam_txt |
Contents Foreword from the First Edition Olivo Miotto v Foreword from the First Edition Nazar Zaki vii Preface Acknowledgements ix xiii Chapter 1 Introduction to Next Generation Sequencing Technologies 1 Lloyd Low and Martti T. Tammi Chapter 2 Primer on Linux 23 Adeel Malik and Muhammad Farhan Sj'augi Chapters I nspection of Sequence Quality 49 Kwong Qi Bin, Ong Ai Ling, Heng Huey Ying and Martti T Tammi Chapter 4 Alignment of Sequenced Reads 67 Akzam Saidin Chapter 5 Establish a Research Workflow 79 Joel Low Zi-Bin and Heng Huey Ying Chapter 6 De novo Assembly of a Genome Joel Low Zi-Bin, Martti T. Tammi and Wai Yee Low xi 107
xii Practical Bioinformatics for Beginners Chapter 7 Exorne Sequencing 127 Setiä Promana, Kwong Qi Bin, Heng Huey Ying, Nuha Hassim and Ong Ai Ling Chapter 8 Transcriptomics 141 Yan Ren, Akzam Saidin and Wai Yee Low Chapter 9 Metagenomics 165 Sim Chun Hock, Kee Shao Yong, Ong Ai Ling, Heng Huey Ying and Teh Chee Keng Chapter 10 Applications of NGS Data 187 Teh Chee Keng, Ong Ai Ling and Kwong Qi Bin Chapter 11 Predicting Human Enhancers with Machine Learning 223 Callum MacPhillamy and Wai Yee Low Index 251
“This book contains a series of tutorials for a biologist who wants to learn to analyze large-scale sequence data. It covers the basics, as well as more advanced methods. It is a very practical guide with useful examples and it will provide a way for researchers to build a foundation in bioinformatic sequence analysis. I will recommend it to my group members. ” Björn Andersson Department of Cell Molecular Biology, Karolinska Institutet Review from the 1st edition: “The book is a great practical introduction to the bioinformatics analysis of next generation sequencing data, covering all the major areas of analysis, from quality control and alignment to domain-specific analysis such as variant calling and transcriptomics. The book is highly practical with well-chosen and relevant exercises for readers who want to get their feet wet analysing sequencing data. It is excellent resource for conducting practical classes or workshops. The exercises are highly relevant and the book covers major areas for next generation bioinformatics, making it suitable for beginners, but also experienced practitioners looking to try out analyses in a different domain. ” Kenneth Hon Kim BAN, MBBS, PhD Assistant Professor, Department of Biochemistry, Yong Loo Lin School of Medicine, NUS Assistant Principal Investigator, Institute of Molecular and Cell Biology, A’STAR Next-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However,
it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture. This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms; hence, making themselves more attractive to employers who need skilled bioinformaticians. |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author2 | Low, Lloyd Tammi, Martti |
| author2_role | edt edt |
| author2_variant | l l ll m t mt |
| author_GND | (DE-588)1141084112 (DE-588)1141084619 |
| author_facet | Low, Lloyd Tammi, Martti |
| building | Verbundindex |
| bvnumber | BV048889457 |
| classification_rvk | WC 7700 |
| ctrlnum | (OCoLC)1379388457 (DE-599)BVBBV048889457 |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02009nam a2200397 c 4500</leader><controlfield tag="001">BV048889457</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230517 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230404s2023 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811258985</subfield><subfield code="9">978-981-1258-98-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1379388457</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048889457</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-1028</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7700</subfield><subfield code="0">(DE-625)148144:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Practical bioinformatics for beginners</subfield><subfield code="b">from raw sequence analysis to machine learning applications</subfield><subfield code="c">edited by Lloyd Low, Martti Tammi</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New Jersey ; London ; Singapore</subfield><subfield code="b">World Scientific</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xiii, 253 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">High throughput screening</subfield><subfield code="0">(DE-588)4596131-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">High throughput screening</subfield><subfield code="0">(DE-588)4596131-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Low, Lloyd</subfield><subfield code="0">(DE-588)1141084112</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tammi, Martti</subfield><subfield code="0">(DE-588)1141084619</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-981-125-900-5</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-981-125-899-2</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Augsburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Augsburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Klappentext</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034154055</subfield></datafield></record></collection> |
| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV048889457 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:48:08Z |
| indexdate | 2024-07-10T09:48:57Z |
| institution | BVB |
| isbn | 9789811258985 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034154055 |
| oclc_num | 1379388457 |
| open_access_boolean | |
| owner | DE-384 DE-1028 DE-703 DE-11 |
| owner_facet | DE-384 DE-1028 DE-703 DE-11 |
| physical | xiii, 253 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications edited by Lloyd Low, Martti Tammi New Jersey ; London ; Singapore World Scientific [2023] xiii, 253 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier High throughput screening (DE-588)4596131-1 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Bioinformatik (DE-588)4611085-9 s High throughput screening (DE-588)4596131-1 s DE-604 Low, Lloyd (DE-588)1141084112 edt Tammi, Martti (DE-588)1141084619 edt Erscheint auch als Online-Ausgabe 978-981-125-900-5 Erscheint auch als Online-Ausgabe 978-981-125-899-2 Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Augsburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications High throughput screening (DE-588)4596131-1 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4596131-1 (DE-588)4611085-9 (DE-588)4143413-4 |
| title | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications |
| title_auth | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications |
| title_exact_search | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications |
| title_exact_search_txtP | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications |
| title_full | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications edited by Lloyd Low, Martti Tammi |
| title_fullStr | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications edited by Lloyd Low, Martti Tammi |
| title_full_unstemmed | Practical bioinformatics for beginners from raw sequence analysis to machine learning applications edited by Lloyd Low, Martti Tammi |
| title_short | Practical bioinformatics for beginners |
| title_sort | practical bioinformatics for beginners from raw sequence analysis to machine learning applications |
| title_sub | from raw sequence analysis to machine learning applications |
| topic | High throughput screening (DE-588)4596131-1 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | High throughput screening Bioinformatik Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034154055&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT lowlloyd practicalbioinformaticsforbeginnersfromrawsequenceanalysistomachinelearningapplications AT tammimartti practicalbioinformaticsforbeginnersfromrawsequenceanalysistomachinelearningapplications |