Bioinformatics

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A01=Hamid D. Ismail
advanced sequence alignment techniques
Alignment Score
API Key
Author_Hamid D. Ismail
Blast Database
Blast Nucleotide
Blast Program
Blast Result
Blast Search
BRCA1 Gene
BRCA1 Protein
Category=PD
computational biology
Entrez Database
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
FASTQ File
GenBank Record
genomic data analysis
Human BRCA1
Link Names
Multiple Sequence Alignment
NCBI Server
Pairwise Sequence Alignment
phylogenetic tree construction
protein domain identification
PubMed Article
Query Key
Query Sequence
R programming bioinformatics
Reference Genome
Search Query
sequence annotation
Substitution Matrix
Target Database
URL Request

Product details

  • ISBN 9781032128740
  • Weight: 870g
  • Dimensions: 210 x 280mm
  • Publication Date: 12 Mar 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments provides the basics of bioinformatics and in-depth coverage of NCBI databases, sequence alignment, and NCBI Sequence Local Alignment Search Tool (BLAST). As bioinformatics has become essential for life sciences, the book has been written specifically to address the need of a large audience including undergraduates, graduates, researchers, healthcare professionals, and bioinformatics professors who need to use the NCBI databases, retrieve data from them, and use BLAST to find evolutionarily related sequences, sequence annotation, construction of phylogenetic tree, and the conservative domain of a protein, to name just a few. Technical details of alignment algorithms are explained with a minimum use of mathematical formulas and with graphical illustrations.

Key Features

  • Provides readers with the most-used bioinformatics knowledge of bioinformatics databases and alignments including both theory and application via illustrations and worked examples.
  • Discusses the use of Windows Command Prompt, Linux shell, R, and Python for both Entrez databases and BLAST.
  • The companion website (http://www.hamiddi.com/instructors/) contains tutorials, R and Python codes, instructor materials including slides, exercises, and problems for students.

This is the ideal textbook for bioinformatics courses taken by students of life sciences and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Hamid D. Ismail earned his Ph.D. and M.Sc. in computational science from North Carolina Agricultural and Technical State University, USA, and Doctor of Veterinary Medicine (DVM) and Applied Diploma in Statistics and Programming from the University of Khartoum, Sudan. He has worked as an adjunct professor, bioinformatics specialist, bioinformatics tool developer, senior scientist, statistician, and database consultant with several institutions. He is currently a Ph.D. Research Associate at North Carolina Agricultural and Technical State University. Dr. Ismail is a published author in bioinformatics, statistics, machine learning, and bio-science, and hehas developed a number of bioinformatics desktop and web-based applications. He is also a reviewer for a number of academic journals.

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