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Blast

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May 1, 2024 Updated May 10, 2025 21 minute read

BLAST, which stands for Basic Local Alignment Search Tool, is a cornerstone algorithm and program in the field of bioinformatics. At its core, BLAST compares biological sequence information, such as the amino acid sequences of proteins or the nucleotide sequences of DNA and RNA. Imagine you have a newly discovered gene in a mouse; a BLAST search allows you to compare this gene to the entire human genome to see if a similar gene exists in humans. This powerful tool helps researchers identify similarities between a "query" sequence (the one you're interested in) and a vast "database" of known sequences, highlighting those that resemble the query above a certain significance threshold.

Working with BLAST can be an exciting endeavor. It allows scientists to potentially identify species, locate known domains within protein sequences, establish evolutionary relationships (phylogeny), map DNA, and compare entire genomes. The thrill of discovery, whether it's identifying a gene responsible for a particular trait or understanding the evolutionary path of an organism, is a significant draw for those in this field. Furthermore, the ability to contribute to advancements in medicine, agriculture, and environmental science by unlocking the secrets hidden within biological sequences offers a profound sense of purpose.

What is BLAST?

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Reading list

We've selected 36 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Blast.
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Is specifically dedicated to the BLAST suite of tools, offering a practical guide for biologists and bioinformatics professionals. It explains how to use different BLAST programs, interpret results, and move beyond default parameters. This book highly relevant and practical resource for anyone regularly using BLAST in their research.
This recent book provides a practical guide specifically focused on using NCBI databases and performing sequence alignments, with dedicated coverage of BLAST. It explains the theoretical basis with minimal math and focuses on practical application using tools and programming languages like R and Python. It is well-suited for undergraduates, graduates, and researchers needing hands-on knowledge of NCBI tools and BLAST.
A broad and detailed introduction to bioinformatics and functional genomics. covers sequence analysis, alignment, and database searching, making it highly relevant to understanding BLAST. It is frequently used as a textbook in advanced undergraduate and graduate programs and good reference for professionals, providing a strong foundation and touching upon contemporary topics.
Provides a comprehensive overview of statistical methods in bioinformatics, including a chapter on BLAST. It valuable resource for anyone who wants to learn more about the field of statistical methods in bioinformatics.
Provides a comprehensive overview of bioinformatics, with a strong emphasis on sequence and genome analysis. It widely used textbook that covers fundamental algorithms, including those related to sequence alignment which are the basis for tools like BLAST. This book is suitable for undergraduate and graduate students seeking a solid foundation in the field and serves as a valuable reference.
Considered a classic in the field, this book provides a rigorous and detailed look at the probabilistic models underlying sequence analysis methods, including hidden Markov models and sequence alignment statistics. While not solely focused on BLAST, it provides the theoretical depth necessary to deeply understand how algorithms like BLAST work and interpret their results. It is highly valuable for graduate students and researchers.
Delves into the algorithmic foundations of bioinformatics, including sequence alignment algorithms. While more theoretical, it provides a deeper understanding of how tools like BLAST are designed and function. It is an excellent resource for advanced undergraduates, graduate students, and researchers with a strong interest in the computational aspects of bioinformatics.
Offers a clear and accessible introduction to bioinformatics concepts, including sequence alignment. It's well-suited for undergraduates and those new to the field, providing a good balance of theory and practical application. It helps solidify an understanding of the context in which tools like BLAST are used.
Takes a problem-solving approach to bioinformatics algorithms, including those related to sequence alignment. It's valuable for understanding the computational thinking behind tools like BLAST and is suitable for students with a computational background. It provides a deeper dive into the algorithmic aspects.
Provides a comprehensive overview of RNA-Seq, including a chapter on BLAST. It valuable resource for anyone who wants to learn more about the field of RNA-Seq.
Covers a wide range of bioinformatics algorithms, including BLAST, and provides detailed explanations and examples in Java. It valuable resource for anyone who wants to learn more about the algorithms behind bioinformatics tools.
Offers an accessible introduction to bioinformatics for students with a biological background. It covers essential concepts including sequence alignment and the use of biological databases, providing necessary background knowledge for understanding tools like BLAST. It good starting point for high school and undergraduate students and is often used as an introductory textbook.
A well-established practical guide covering a wide range of bioinformatics topics, including sequence analysis and database searching. valuable reference for researchers and students, offering detailed explanations and practical examples for using various bioinformatics tools and resources relevant to working with sequence data and interpreting results from tools like BLAST.
A concise yet comprehensive textbook covering key areas of bioinformatics, including sequence alignment and database searching. is suitable for undergraduate life science students and researchers, offering a balanced introduction to computational methods without excessive mathematical detail. It helps solidify understanding of fundamental bioinformatics concepts relevant to BLAST.
A foundational text in computational biology that covers key algorithms for sequence analysis, including dynamic programming for sequence alignment. provides essential theoretical background for understanding algorithms used in tools like BLAST. It classic reference for graduate students and researchers with a strong quantitative background.
Offers an algorithmic perspective on computational biology problems, including sequence analysis and alignment. It provides a strong foundation in the computational thinking and algorithms behind tools like BLAST, making it valuable for students and researchers interested in the underlying computer science principles. Suitable for advanced undergraduates and graduate students.
This highly regarded theoretical computer science book that covers the algorithms fundamental to sequence analysis, including alignment algorithms. It provides a deep understanding of the computational principles behind tools like BLAST and classic reference for those interested in the algorithmic details.
Taking a conceptual approach, this book guides readers through the fundamental principles of bioinformatics, including sequence analysis and database searching. It is suitable for advanced undergraduates and postgraduates, helping them grasp the computational techniques and algorithms relevant to tools like BLAST. The book is well-regarded for its clear explanations.
While not solely focused on BLAST, this book is highly relevant for anyone performing bioinformatics analysis, including using tools like BLAST. It emphasizes practical data handling, command-line tools, and reproducible research, which are essential skills for working with biological sequence data and interpreting results from tools like BLAST. It is valuable for undergraduate and graduate students, and professionals.
Aimed at beginners, this book introduces fundamental bioinformatics concepts, including molecular evolution, databases, and analytical tools used in the field. It provides a gentle introduction to the principles behind sequence comparison and database searching, which are foundational to understanding BLAST. Suitable for high school and early undergraduate students.
Focuses on the statistical underpinnings of bioinformatics methods, including sequence alignment and phylogenetic analysis. Understanding the statistical basis is crucial for correctly interpreting the significance of BLAST results. This book is best suited for graduate students and researchers with a solid quantitative background seeking a deeper theoretical understanding.
This handbook covers various aspects of genome science, including bioinformatics approaches to analyzing genomic data. It provides context for how sequence analysis and tools like BLAST are applied in modern genomic research. Useful for researchers and clinicians needing an overview of genome science and its computational aspects.
Statistical concepts are crucial for interpreting the significance of BLAST results (e.g., E-values). provides a solid foundation in the statistical methods used in modern biology, which is highly relevant for properly evaluating sequence alignments.
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