東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Synthetic biology and IGEM = techniq...

Ning, Kang.

FindBook

Google Book

Amazon

博客來

Synthetic biology and IGEM = techniques, development and safety concerns : an omics big-data mining perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Synthetic biology and IGEM/ edited by Kang Ning, Yi Zhan.
其他題名:	techniques, development and safety concerns : an omics big-data mining perspective /
其他作者:	Ning, Kang.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xii, 113 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction to Synthetic Biology -- Chapter 2. iGEM: The Competition on Synthetic Biology -- Chapter 3. Synthetic Biology-related Multi-omics Data Integration and Data Mining Techniques -- Chapter 4. Synthetic Biology: Technical Issues -- Chapter 5. Synthetic Biology: Development Issues -- Chapter 6. Synthetic Biology: Safety Issues -- Chapter 7. Synthetic Biology: Data Resources, Web Services and Visualizations -- Chapter 8. Synthetic Biology: Case Studies -- Chapter 9. Concluding Remarks.
Contained By:	Springer Nature eBook
標題:	Synthetic biology. -
電子資源:	https://doi.org/10.1007/978-981-99-2460-8
ISBN:	9789819924608

Synthetic biology and IGEM = techniques, development and safety concerns : an omics big-data mining perspective /
Synthetic biology and IGEMtechniques, development and safety concerns : an omics big-data mining perspective /[electronic resource] :edited by Kang Ning, Yi Zhan. - Singapore :Springer Nature Singapore :2023. - xii, 113 p. :ill., digital ;24 cm.

Chapter 1. Introduction to Synthetic Biology -- Chapter 2. iGEM: The Competition on Synthetic Biology -- Chapter 3. Synthetic Biology-related Multi-omics Data Integration and Data Mining Techniques -- Chapter 4. Synthetic Biology: Technical Issues -- Chapter 5. Synthetic Biology: Development Issues -- Chapter 6. Synthetic Biology: Safety Issues -- Chapter 7. Synthetic Biology: Data Resources, Web Services and Visualizations -- Chapter 8. Synthetic Biology: Case Studies -- Chapter 9. Concluding Remarks.

This book focuses on biological engineering techniques, multi-omics big-data integration, and data-mining techniques, as well as cutting-edge researches in principles and applications of several synthetic biology applications. Synthetic biology is a new research area, while it has been rooted from the long-established area including biological engineering, metabolite engineering, and systems biology. This book will discuss the following aspects: (1) introduction to synthetic biology and iGEM, especially focusing on the systematic design, rational engineering, and sustainability of design in the omics ages; (2) synthetic biology-related multi-omics data integration and data mining techniques; (3) the technical issues, development issues, and safety issues of synthetic biology; (4) data resources, web services, and visualizations for synthetic biology; and (5) advancement in concrete research on synthetic biology, with several case studies shown. Devised as a book on synthetic biology research and education in the omics age, this book has put focuses on systematic design, rational engineering, and sustainability of design for synthetic biology, which will explain in detail and with supportive examples the "What," "Why," and "How" of the topic. It is an attempt to bridge the gap between synthetic biology's research and education side, for best practice of synthetic biology and in-depth insights for the related questions.

ISBN: 9789819924608

Standard No.: 10.1007/978-981-99-2460-8doiSubjects--Topical Terms:

2046200
Synthetic biology.

LC Class. No.: TA164

Dewey Class. No.: 660.6

Synthetic biology and IGEM = techniques, development and safety concerns : an omics big-data mining perspective /
LDR:03018nmm a2200337 a 4500 001 2318381
003 DE-He213
005 20230619093309.0
006 m d
007 cr nn 008maaau
008 230902s2023 si s 0 eng d
020 $a 9789819924608 $q (electronic bk.)
020 $a 9789819924592 $q (paper)
024 7 $a 10.1007/978-981-99-2460-8 $2 doi
035 $a 978-981-99-2460-8
040 $a GP $c GP
041 0 $a eng
050 4 $a TA164
072 7 $a UY $2 bicssc
072 7 $a PS $2 bicssc
072 7 $a SCI056000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 660.6 $2 23
090 $a TA164 $b .S993 2023
245 0 0 $a Synthetic biology and IGEM $h [electronic resource] : $b techniques, development and safety concerns : an omics big-data mining perspective / $c edited by Kang Ning, Yi Zhan.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xii, 113 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Introduction to Synthetic Biology -- Chapter 2. iGEM: The Competition on Synthetic Biology -- Chapter 3. Synthetic Biology-related Multi-omics Data Integration and Data Mining Techniques -- Chapter 4. Synthetic Biology: Technical Issues -- Chapter 5. Synthetic Biology: Development Issues -- Chapter 6. Synthetic Biology: Safety Issues -- Chapter 7. Synthetic Biology: Data Resources, Web Services and Visualizations -- Chapter 8. Synthetic Biology: Case Studies -- Chapter 9. Concluding Remarks.
520 $a This book focuses on biological engineering techniques, multi-omics big-data integration, and data-mining techniques, as well as cutting-edge researches in principles and applications of several synthetic biology applications. Synthetic biology is a new research area, while it has been rooted from the long-established area including biological engineering, metabolite engineering, and systems biology. This book will discuss the following aspects: (1) introduction to synthetic biology and iGEM, especially focusing on the systematic design, rational engineering, and sustainability of design in the omics ages; (2) synthetic biology-related multi-omics data integration and data mining techniques; (3) the technical issues, development issues, and safety issues of synthetic biology; (4) data resources, web services, and visualizations for synthetic biology; and (5) advancement in concrete research on synthetic biology, with several case studies shown. Devised as a book on synthetic biology research and education in the omics age, this book has put focuses on systematic design, rational engineering, and sustainability of design for synthetic biology, which will explain in detail and with supportive examples the "What," "Why," and "How" of the topic. It is an attempt to bridge the gap between synthetic biology's research and education side, for best practice of synthetic biology and in-depth insights for the related questions.
650 0 $a Synthetic biology. $3 2046200
650 1 4 $a Bioinformatics. $3 553671
650 2 4 $a Biotechnology. $3 571461
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
700 1 $a Ning, Kang. $3 3605360
700 1 $a Zhan, Yi. $3 3633351
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-99-2460-8
950 $a Biomedical and Life Sciences (SpringerNature-11642)