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Questions and Answers
What is a characteristic of multiple sequence alignment?
What is a characteristic of multiple sequence alignment?
Which algorithm is used for local alignments?
Which algorithm is used for local alignments?
What is a feature of heuristic algorithms in sequence alignment?
What is a feature of heuristic algorithms in sequence alignment?
Which of the following best describes dynamic programming in alignment algorithms?
Which of the following best describes dynamic programming in alignment algorithms?
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What can be concluded about scoring systems for sequence alignment?
What can be concluded about scoring systems for sequence alignment?
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What is the primary distinction between % identity and % similarity in amino acid sequences?
What is the primary distinction between % identity and % similarity in amino acid sequences?
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What characterizes homologous sequences?
What characterizes homologous sequences?
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Which type of sequence homology is identified through speciation events?
Which type of sequence homology is identified through speciation events?
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In global sequence alignment, how does the alignment process begin?
In global sequence alignment, how does the alignment process begin?
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What is the limitation of global sequence alignment?
What is the limitation of global sequence alignment?
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Which algorithm is typically used for global sequence alignment?
Which algorithm is typically used for global sequence alignment?
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What is one of the main purposes of sequence alignment?
What is one of the main purposes of sequence alignment?
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What type of sequences are termed paralogous?
What type of sequences are termed paralogous?
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What is the role of gaps in global sequence alignment?
What is the role of gaps in global sequence alignment?
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Which of the following mutations is classified as an indel?
Which of the following mutations is classified as an indel?
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How does sequence identity differ from sequence similarity in protein sequences?
How does sequence identity differ from sequence similarity in protein sequences?
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Which of the following can lead to gaps in sequence alignment?
Which of the following can lead to gaps in sequence alignment?
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What is the primary purpose of sequence alignment?
What is the primary purpose of sequence alignment?
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A deletion in a sequence alignment is characterized by which of the following?
A deletion in a sequence alignment is characterized by which of the following?
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When performing sequence alignment, what is the significance of a gap in the alignment column?
When performing sequence alignment, what is the significance of a gap in the alignment column?
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What does sequence similarity involve in protein sequences?
What does sequence similarity involve in protein sequences?
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What are alignments typically performed with?
What are alignments typically performed with?
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Which statement correctly shows an example of a point mutation?
Which statement correctly shows an example of a point mutation?
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What can mismatches in sequence alignment indicate?
What can mismatches in sequence alignment indicate?
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Which of the following statements about DNA and protein sequence analysis is NOT a use of sequence alignment?
Which of the following statements about DNA and protein sequence analysis is NOT a use of sequence alignment?
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Why might sequences that are highly similar be considered to share the same function?
Why might sequences that are highly similar be considered to share the same function?
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Which characteristic is NOT assessed by scoring schemes in sequence alignment?
Which characteristic is NOT assessed by scoring schemes in sequence alignment?
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What is indicated by the matching pattern of nucleotides in sequence alignment?
What is indicated by the matching pattern of nucleotides in sequence alignment?
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What can high similarity in sequence alignment imply about two proteins?
What can high similarity in sequence alignment imply about two proteins?
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What is the main purpose of local sequence alignment?
What is the main purpose of local sequence alignment?
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Which algorithm is primarily used for local sequence alignment?
Which algorithm is primarily used for local sequence alignment?
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What type of sequences is global alignment most suitable for?
What type of sequences is global alignment most suitable for?
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What does pairwise sequence alignment aim to achieve?
What does pairwise sequence alignment aim to achieve?
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Which characteristic of global alignment makes it possible?
Which characteristic of global alignment makes it possible?
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How does local alignment differ in its tolerance for gaps compared to global alignment?
How does local alignment differ in its tolerance for gaps compared to global alignment?
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What is indicated by the term 'indels' in the context of sequence alignment?
What is indicated by the term 'indels' in the context of sequence alignment?
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What is a primary outcome of optimal sequence alignments?
What is a primary outcome of optimal sequence alignments?
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Study Notes
Sequence Alignment
- Sequence alignment is the process of arranging two or more sequences of nucleotides (DNA or RNA) or amino acids (proteins) to identify regions of similarity and difference.
- This process helps to infer structural, functional, and evolutionary relationships between the sequences.
- The procedure involves searching for series of identical or similar characters or patterns in the same order between the sequences.
- Alignments are typically generated using computer programs and algorithms that assess the quality of the alignment based on a scoring system that rewards matches and penalizes mismatches and gaps.
Uses of Sequence Alignment
- Predicting the function of a gene or protein
- Predicting molecular structure
- Discovering evolutionary or phylogenetic relationships
- Annotation (to characterize features) of new sequences
- Fragment or genome assembly (reassemble fragments in their correct order to reconstitute the genome or RNA sequence)
- Detect gene mutations
Why Sequence Alignment?
- Sequences that are very similar likely share the same function, similar secondary and 3D structure (for proteins), and a shared ancestral sequence, though not always.
Evolutionary Basis of Sequence Alignment
- One goal of sequence alignment is to infer homology (origin from a common ancestor) through observed shared sequence similarity.
- Changes that occur during sequence divergence from a common ancestor include substitutions (point mutations), deletions, and insertions.
Causes for Sequence Dissimilarity in Sequence Alignment
- Point mutations (substitutions): a nucleotide at a specific location is replaced by another nucleotide (e.g., ATA → AGA). This leads to mismatches in sequence alignment.
- Indels (insertions and/or deletions): nucleotides are inserted and/or deleted into genomic DNA. This leads to gaps in sequence alignment.
- Insertion: at a specific location, one new nucleotide is inserted between two existing nucleotides (e.g., AA → AGA).
- Deletion: at a certain location, one existing nucleotide is deleted (e.g., ACTG → AC-G).
Sequence Identity and Similarity
- Sequence Identity means the same residues are present at corresponding positions in two sequences.
- Sequence Similarity means similar residues are present at corresponding positions in two sequences. This can involve amino acids with similar physicochemical and functional properties.
- When comparing nucleic acids, sequence similarity and sequence identity are the same.
Types of Sequence Homology
- Orthologous sequences: very similar sequences found in different species, which are likely due to a speciation event, that carry out a similar biological function.
- Paralogous sequences: sequences related through gene duplication events, which can have variable biological functions within the same species.
- Analogous sequences: related through convergency. These are similar genetic changes in independent species (unrelated species) due to parallel evolution.
Types of Sequence Alignment
- Global alignment: Aligns and compares two sequences along their entire length, providing the best alignment that displays the maximum number of nucleotides or amino acids aligned.
- Local alignment: Finds the most similar regions in two sequences being aligned. This is useful for sequences that are not similar in character and length, but may contain small regions of similarity.
- Pairwise alignment: Maps and compares residues between two sequences.
- Multiple sequence alignment: Determines the best alignment between multiple (more than two) DNA sequences.
Sequence Alignment Algorithms
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Dynamic programming: These are rigorous algorithms that provide optimal alignments:
- Needlman-Wunsch algorithm: Used for global alignments.
- Smith-Waterman algorithm: Used for local alignments; provides one or more alignments of the sequences.
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Heuristic algorithms: These are faster algorithms that provide approximate alignments:
- BLAST
- FASTA
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Description
This quiz covers the essentials of sequence alignment, including its definition, processes, and applications in bioinformatics. It discusses how alignment identifies similarities and differences among nucleotides and amino acids, aiding in the prediction of gene function and evolutionary relationships.