What are community-based genetic screening programs? What is the intent of such screening programs? Why are members of specific communities or populations offered the chance to participate in such programs?
Table of contents
- 1. Introduction to Genetics51m
- 2. Mendel's Laws of Inheritance3h 37m
- 3. Extensions to Mendelian Inheritance2h 41m
- 4. Genetic Mapping and Linkage2h 28m
- 5. Genetics of Bacteria and Viruses1h 21m
- 6. Chromosomal Variation1h 48m
- 7. DNA and Chromosome Structure56m
- 8. DNA Replication1h 10m
- 9. Mitosis and Meiosis1h 34m
- 10. Transcription1h 0m
- 11. Translation58m
- 12. Gene Regulation in Prokaryotes1h 19m
- 13. Gene Regulation in Eukaryotes44m
- 14. Genetic Control of Development44m
- 15. Genomes and Genomics1h 50m
- 16. Transposable Elements47m
- 17. Mutation, Repair, and Recombination1h 6m
- 18. Molecular Genetic Tools19m
- 19. Cancer Genetics29m
- 20. Quantitative Genetics1h 26m
- 21. Population Genetics50m
- 22. Evolutionary Genetics29m
15. Genomes and Genomics
Bioinformatics
Problem 8
Textbook Question
BLAST searches and related applications are essential for analyzing gene and protein sequences. Define BLAST, describe basic features of this bioinformatics tool, and give an example of information provided by a BLAST search.

1
BLAST stands for Basic Local Alignment Search Tool. It is a bioinformatics tool used to compare nucleotide or protein sequences to sequence databases and identify regions of similarity.
The basic features of BLAST include: (1) sequence alignment, which identifies regions of similarity between sequences, (2) scoring systems to evaluate the quality of matches, and (3) the ability to search large databases efficiently.
BLAST works by breaking down the query sequence into smaller fragments (words) and searching for matches in the database. It uses algorithms to extend these matches and calculate alignment scores.
An example of information provided by a BLAST search includes identifying homologous genes or proteins, determining evolutionary relationships, or finding conserved domains within a sequence.
To interpret BLAST results, key metrics such as E-value (expected value), bit score, and percent identity are used to assess the significance and quality of the matches found.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
BLAST (Basic Local Alignment Search Tool)
BLAST is a bioinformatics algorithm used to compare an input sequence (DNA, RNA, or protein) against a database of sequences to identify regions of similarity. It helps researchers find homologous sequences, which can indicate functional, structural, or evolutionary relationships. By using heuristics, BLAST efficiently finds matches, making it a vital tool in genomics and proteomics.
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Basic Features of BLAST
BLAST offers several key features, including the ability to perform different types of searches (e.g., nucleotide vs. protein), customizable parameters for sensitivity and speed, and various output formats. Users can choose databases to search against, such as GenBank or UniProt, and can filter results based on criteria like sequence identity or alignment length, enhancing the relevance of the findings.
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Information Provided by a BLAST Search
A BLAST search provides valuable information, including the best matches to the input sequence, alignment scores, and statistical significance (E-values) of the matches. It also displays the alignment itself, showing how closely related sequences are, which can help in inferring gene function, evolutionary relationships, or potential applications in research and medicine.
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