Explanation: In regular expressions’ techniques Pattern matching is defined as true or false in answer or outcome. In other words, if the pattern described in regex is found in a string of letters, the answer is true.

Explanation: Regular expressions are powerful notable algebra that describe string or set of strings to find matching patterns. Pattern matching is defined as true or false in answer or outcome. And it is true that they are made up of terms, operators and modifiers but they are terminologies further used in matching process.

Explanation: Regular Expression Symbols have their own significances in regular expressions system means [GA] .g.e rFo ‘G or A’, {V,P} means not P or V, x(4) means (xxxx). Likewise, X denotes any character.

Explanation: For harmonious, efficient and error-free functioning of the matching preocess, operators have precedence in order to set the priority of the operations to be carried out during the alignment.

Explanation: Regular Expression Symbols have their own significances in regular expressions’ system. For e.g. x(2,3) means x-x or x-x-x. Similarly, ‘.’ means end.

Explanation: Emotif is a motif database that uses multiple sequence alignments from both the BLOCKS and PRINTS databases with an alignment collection much larger than PROSITE. It identifies patterns by allowing fuzzy matching of regular expressions. Therefore, it produces fewer false negatives than PROSITE.

Explanation: The major pitfall with the PROSITE patterns is that some of the sequence patterns are too short to be specific. Rest of the options are advantages. The problem with these short sequence patterns is that the resulting match is very likely to be a result of random events. Overall, PROSITE has a greater than 20% error rate. Thus, either a match or non-match in PROSITE should be treated with caution.

Explanation: The rule of matching is based on assumptions not actual observations in Fuzzy or approximate matches in regular expression. This provides more permissive matching by allowing more flexible matching of residues of similar biochemical properties. For example, if an original alignment only contains phenylalanine at a particular position, fuzzy matching allows other aromatic residues (including unobserved tyrosine and tryptophan) in a sequence to match with the expression.

Explanation: In this type of matching, there has to be a strict match of sequence patterns. This way of searching has a good chance of missing truly relevant motifs that have slight variations, thus generating false-negative results. As new sequences of motif are being accumulated, the rigid regular expression tends to become obsolete if not updated regularly to reflect the changes.

Explanation: This is an example of pexel motif. Here, the ‘.’ represents the ‘end’ i.e. the amino acid as mentioned in the answer and the [ ] means ‘or’ i.e. either of the mentioned residue is present in the given position.