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Similarity Searches on Sequence Databases BLAST FASTA Lorenza Bordoli Swiss Institute of Bioinformatics EMBnet Course Basel October 2003 Outline Importance of Similarity Heuristic Sequence Alignment Principle FASTA algorithm Assessing the significance of sequence alignment The Extreme Value Distribution EVD P-value E-Value BLAST Protein Sequences DNA Sequences Choosing the right Parameters Other members of the BLAST family ancestral protein/gene sequence similar homologous similar...
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How to fill out similarity searches on sequence

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How to fill out similarity searches on sequence:

01
Begin by selecting a sequence database or inputting your own sequence of interest.
02
Specify the algorithm or method you want to use for the similarity search, such as BLAST or FASTA.
03
Set the parameters for the search, including the scoring scheme, gap penalties, and E-value threshold.
04
Run the similarity search algorithm on the chosen sequence database or inputted sequence.
05
Analyze the results, which typically include a list of similar sequences ranked by similarity score.
06
Consider filtering and refining the results based on your specific research goals and criteria.
07
Further investigate the top hits and evaluate their biological relevance and significance.

Who needs similarity searches on sequence:

01
Biologists and geneticists who study evolutionary relationships among species or genes.
02
Researchers working in drug discovery and design to identify potential drug targets.
03
Bioinformaticians and computational biologists who develop algorithms and tools for sequence analysis.
04
Scientists and clinicians investigating the functional annotation and characterization of genes and proteins.
05
Individuals working in fields such as microbiology, virology, and ecology to study microbial communities and ecosystems.
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Similarity searches on sequence involve comparing a given sequence of DNA or protein with other sequences in order to find similar regions or patterns. These searches are commonly used in bioinformatics and molecular biology to identify related sequences and infer their functions or evolutionary relationships.
Similarity searches on sequence are typically performed by scientists, researchers, and bioinformaticians who are studying DNA or protein sequences and need to find related sequences or patterns.
Similarity searches on sequence are usually conducted using computational algorithms and bioinformatics tools. These tools allow users to input a sequence of interest and compare it against databases of known sequences using various algorithms, such as BLAST or FASTA. The results of the search can then be analyzed and interpreted.
The purpose of similarity searches on sequence is to uncover relationships, similarities, or patterns within DNA or protein sequences. This can provide insights into their functions, evolutionary history, and potential relationships with other organisms or biological processes.
The specific information reported on similarity searches on sequence can vary depending on the context and purpose of the study. However, typical reports may include the input sequence, the database or databases searched, details of the algorithm used, statistical measures of similarity or significance, and any identified matches or patterns along with their annotations or functional predictions.
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