Sequencing Databases Flashcards

1
Q

Define homology.

A

Similarity believed to have arisen as a result of descent from a common ancestral sequence

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2
Q

What is % identity?

A

The % that are the same in the aligned residues of both sequences

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3
Q

What is a limitation of relying on % identity alone?

A

It does not tell apart similar compared to very different amino acids

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4
Q

What do similar sequences score in a comparison matrix?

A

Score more positively

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5
Q

What is the E-value?

A

Expected number (by pure chance) of sequences in the database with a score greater than the one observed
smaller = more significant

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6
Q

What does the E-value allow for?

A

Length of query sequence & size of database

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7
Q

Why are statistical models not perfect?

A

Biased AA compositions/repetitive sequences eg. transmembrane helices

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8
Q

How are repetitive sequences corrected?

A

‘masking out’ repetitive sequences (converting them to Xs) & choosing strict E-value cut off for significance

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9
Q

What does the search Blastp do?

A

Compares an AA query sequence against a protein sequence database

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10
Q

What does the search Blastn do?

A

Compares a nucleotide query sequence against a nucleotide sequence database

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11
Q

What does the search Blastx do?

A

Compares a nucleotide query sequence translated in all reading frames against a protein sequence database

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12
Q

What does the search TBlastn do?

A

Compares a protein query sequence against a nucleotide sequence database dynamically translated in all reading forms

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13
Q

What does the search TBlastx do?

A

compares the 6-frame translations of a nucleotide query sequence against the 6-frame translations of a nucleotide sequence database

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14
Q
A
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