BLAST Flashcards

(34 cards)

1
Q

What does BLAST mean

A

basic local alignment search tool

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2
Q

Who developed BLAST?

A

Altschul and colleagues

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3
Q

algorithm for rapid searching of nucleotide and protein databases

A

BLAST

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4
Q

employs a heuristic method of pairwise comparison

A

BLAST

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5
Q

algorithm that estimates the best solution without considering every possible outcome

A

heuristic method

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6
Q

does not guarantee to find best solutions but finds good solutions

A

heuristic method

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7
Q

has high speed and is time efficient

A

heuristic method

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8
Q

homologous sequence are likely to contain a short, high-scoring similarity region

A

BLAST Strategy

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9
Q

short, high-scoring similarity region

A

word or hit (W)

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10
Q

designed to find local regions of similarity but can be expected to run about two orders of magnitude faster than the Smith-Waterman algorithm

A

BLAST

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11
Q

sequence that is subject to comparison

A

Query

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12
Q

sequences showing similarity with the query sequence

A

subject (or target)

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13
Q

What are different BLAST programs

A

blastn
blastp
blastx
tblastn
tblastx

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14
Q

searches a nucleotide database using a nucleotide query

A

blastn

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15
Q

searches a protein database using a protein query

A

blastp

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15
Q

searches a protein database using a translated nucleotide query

16
Q

searches a translated nucleotide database using a protein query

17
Q

searches a translated nucleotide database using a translated nucleotide query

18
Q

if BLAST found a similar sequence, we must have an idea:

A

whether alignment is good
whether it portrays possible biological relationship
whether the similarity observed is attributable to chance alone

19
Q

uses statistical theory to produce a bit score and e-value

20
Q

gives an indication of how good the alignment is

21
Q

In Bit score, the higher the score, _

22
Q

key element in the calculation of bit score

A

substitution matrix

23
Q

bit score for the aligned region with the highest score

24
adds the bit scores for all aligned regions
Total score
25
gives an indication fo the statistical significance of a given pairwise alignment and reflects the size of the database and the scoring system used
Expected value
26
the lower the E-value, the _ is the hit
more significant
27
determine the beginning and end positioning of genes in a genome
gene prediction problem
28
determines the sequence of amino acids in a protein
sequence of codons
29
What is the paradox of genome
Genome size of many eukaryotes does not correspond to genetic complexity
30
When was the discovery of split genes through experiments with mRNA of hexon, a viral proteins
1977
31
When was it discovered that the sequence of codons in a gene determines the sequence of amino acids in a protein
1960s
32
True or False: the genome of many eukaryotes contain only relatively few genes
True
33
Problems in Gene Prediction
genome has relatively few genes many false splice short exons long introns alternative splicing