Advances in Bioinformatics and Big Data Analytics

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Bibliographic Details
Title:	Advances in Bioinformatics and Big Data Analytics
Description:	The book will play a vital role in improvising knowledge on the practical application of information science in the biological field to a great extent. All the researchers and practitioners will benefit from those working in Big Data, IoT, Computational Intelligence, biomedical, and bioinformatics. This book would be a good collection of state-of-the-art approaches for data mining based on bioinformatics and health-related applications. It will be very beneficial for the new researchers and practitioners working in the field to follow the best-performing methods quickly. They would be able to compare different approaches and carry forward their research in the most critical area of research that directly impacts the betterment of human life and health. This book would also be instrumental because no text in the market provides a good collection of state-of-the-art methods of big data-driven bioinformatics. While emerging technology has made data entry much more accessible, it will also discuss challenges for researchers and medical professionals. Data sets have grown so huge that extracting and analyzing data with traditional methods has become challenging. However, these data sets also give an exciting opportunity to understand large-scale patterns and make predictions about health care. Intelligent technologies have employed the knowledge and implementation of big data techniques globally. This book also proposes Computational Approaches for Vaccine Designing, which will help us better understand ourselves and our environment. This book references new information processing technology that combines ideas from biology, chemistry, and medical science to manage electronic medical records productively. Specific topics covered include database management, genomics, proteomics, and scalability.
Authors:	Sujata Dash
Resource Type:	eBook.
Subjects:	Big data, Bioinformatics
Categories:	COMPUTERS / Data Science / Data Analytics
Database:	eBook Collection (EBSCOhost)

FullText	Links: – Type: ebook-pdf Text: Availability: 0
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Items	– Name: Title Label: Title Group: Ti Data: Advances in Bioinformatics and Big Data Analytics – Name: Abstract Label: Description Group: Ab Data: The book will play a vital role in improvising knowledge on the practical application of information science in the biological field to a great extent. All the researchers and practitioners will benefit from those working in Big Data, IoT, Computational Intelligence, biomedical, and bioinformatics. This book would be a good collection of state-of-the-art approaches for data mining based on bioinformatics and health-related applications. It will be very beneficial for the new researchers and practitioners working in the field to follow the best-performing methods quickly. They would be able to compare different approaches and carry forward their research in the most critical area of research that directly impacts the betterment of human life and health. This book would also be instrumental because no text in the market provides a good collection of state-of-the-art methods of big data-driven bioinformatics. While emerging technology has made data entry much more accessible, it will also discuss challenges for researchers and medical professionals. Data sets have grown so huge that extracting and analyzing data with traditional methods has become challenging. However, these data sets also give an exciting opportunity to understand large-scale patterns and make predictions about health care. Intelligent technologies have employed the knowledge and implementation of big data techniques globally. This book also proposes Computational Approaches for Vaccine Designing, which will help us better understand ourselves and our environment. This book references new information processing technology that combines ideas from biology, chemistry, and medical science to manage electronic medical records productively. Specific topics covered include database management, genomics, proteomics, and scalability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sujata+Dash%22">Sujata Dash</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Bioinformatics%22">Bioinformatics</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Analytics%22">COMPUTERS / Data Science / Data Analytics</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 570.285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Big data Type: general – SubjectFull: Bioinformatics Type: general Titles: – TitleFull: Advances in Bioinformatics and Big Data Analytics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sujata Dash – PersonEntity: Name: NameFull: Sujata Dash IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 17 M: 05 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9798886976939 – Type: isbn-electronic Value: 9798886978506 Titles: – TitleFull: Advances in Bioinformatics and Big Data Analytics Type: main
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