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Bioinformatics and computational bio...

Tiwary, Basant K.

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Bioinformatics and computational biology = a primer for biologists /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bioinformatics and computational biology/ by Basant K. Tiwary.
Reminder of title:	a primer for biologists /
Author:	Tiwary, Basant K.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xi, 234 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1_Introduction to Bioinformatics -- Chapter 2_Biological databases -- Chapter 3_Sequence Alignment -- Chapter 4_Molecular Evolution -- Chapter 5_Next-generation Sequencing -- Chapter 6_Structural Bioinformatics -- Chapter 7_Systems Biology -- Chapter 8_Statistical Computing in R -- Chapter 9_Clinical Bioinformatics -- Chapter 10_Agricultural Bioinformatics -- Chapter 11_Veterinary Bioinformatics -- Chapter 12_Future trends of Bioinformatics.
Contained By:	Springer Nature eBook
Subject:	Bioinformatics. -
Online resource:	https://doi.org/10.1007/978-981-16-4241-8
ISBN:	9789811642418

Bioinformatics and computational biology = a primer for biologists /
Tiwary, Basant K.

Bioinformatics and computational biologya primer for biologists /[electronic resource] :by Basant K. Tiwary. - Singapore :Springer Singapore :2022. - xi, 234 p. :ill., digital ;24 cm.

Chapter 1_Introduction to Bioinformatics -- Chapter 2_Biological databases -- Chapter 3_Sequence Alignment -- Chapter 4_Molecular Evolution -- Chapter 5_Next-generation Sequencing -- Chapter 6_Structural Bioinformatics -- Chapter 7_Systems Biology -- Chapter 8_Statistical Computing in R -- Chapter 9_Clinical Bioinformatics -- Chapter 10_Agricultural Bioinformatics -- Chapter 11_Veterinary Bioinformatics -- Chapter 12_Future trends of Bioinformatics.

This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering. The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.

ISBN: 9789811642418

Standard No.: 10.1007/978-981-16-4241-8doiSubjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2 / .T58 2022

Dewey Class. No.: 570.285

Bioinformatics and computational biology = a primer for biologists /
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505 0 $a Chapter 1_Introduction to Bioinformatics -- Chapter 2_Biological databases -- Chapter 3_Sequence Alignment -- Chapter 4_Molecular Evolution -- Chapter 5_Next-generation Sequencing -- Chapter 6_Structural Bioinformatics -- Chapter 7_Systems Biology -- Chapter 8_Statistical Computing in R -- Chapter 9_Clinical Bioinformatics -- Chapter 10_Agricultural Bioinformatics -- Chapter 11_Veterinary Bioinformatics -- Chapter 12_Future trends of Bioinformatics.
520 $a This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering. The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.
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