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POOJA SEVAK
MSC II
PAPER III
BLAST
( Basic Local Alignment Search Tool)
Introduction
 BLAST is a sequence similarity search program that
can be used to quickly search a sequence database
for matches to a query sequence.
 Set of programs that search sequence databases for
statistically significant similarities.
 Basic Local Alignment Search Tool
– Altschul et al. 1990,1994,1997
 Heuristic method for local alignment
 Designed specifically for database searches
 Based on the same assumption as FASTA that good
alignments contain short lengths of exact matches
 Both BLAST and FASTA search for local sequence
similarity ‐ indeed they have exactly the same goals,
though they use somewhat different algorithms and
statistical approaches.
 BLAST benefits
– Speed
– User friendly
– Statistical rigor
– More sensitive
Input/Output
 Input:
– Query sequence Q
– Database of sequences DB
– Maximal E‐value
 Output:
– Sequences from DB (Seq), such that Q and Seq
have E‐values < E
Type Of BLAST
 Uses word matching like FASTA
 Similarity matching of words (3 amino acids, 11
bases)
– does not require identical words.
 If no words are similar, then no alignment
– Will not find matches for very short sequences
 Does not handle gaps well
 “gapped BLAST” is somewhat better
BLAST Algorithm
3 step process
1. Word search method
2. Identification of exact word match method
3. Maximum segment pair alignment method
BLAST Algorithm
BLAST word matching
Find Location Of Matching Words In
Dataabase Sequences
Extend Hits One Position At A Time
 Use two word matches as anchors to build an
alignment between the query and a database
sequence.
 Then score the alignment.
HSPs are Aligned Regions
 The results of the word matching and attempts to
extend the alignment are segments‐ called HSPs
(High‐Scoring Segment Pairs)
 BLAST often produces several short HSPs
rather than a single aligned region
REFERENCEs
 Bioinformatics by Attwood
 http://www.youtube.com/watch?v=LlnMtI2Sg4g

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Blast

  • 1. POOJA SEVAK MSC II PAPER III BLAST ( Basic Local Alignment Search Tool)
  • 2. Introduction  BLAST is a sequence similarity search program that can be used to quickly search a sequence database for matches to a query sequence.  Set of programs that search sequence databases for statistically significant similarities.
  • 3.  Basic Local Alignment Search Tool – Altschul et al. 1990,1994,1997  Heuristic method for local alignment  Designed specifically for database searches  Based on the same assumption as FASTA that good alignments contain short lengths of exact matches
  • 4.  Both BLAST and FASTA search for local sequence similarity ‐ indeed they have exactly the same goals, though they use somewhat different algorithms and statistical approaches.  BLAST benefits – Speed – User friendly – Statistical rigor – More sensitive
  • 5. Input/Output  Input: – Query sequence Q – Database of sequences DB – Maximal E‐value  Output: – Sequences from DB (Seq), such that Q and Seq have E‐values < E
  • 7.  Uses word matching like FASTA  Similarity matching of words (3 amino acids, 11 bases) – does not require identical words.  If no words are similar, then no alignment – Will not find matches for very short sequences  Does not handle gaps well  “gapped BLAST” is somewhat better
  • 8. BLAST Algorithm 3 step process 1. Word search method 2. Identification of exact word match method 3. Maximum segment pair alignment method
  • 11. Find Location Of Matching Words In Dataabase Sequences
  • 12. Extend Hits One Position At A Time
  • 13.  Use two word matches as anchors to build an alignment between the query and a database sequence.  Then score the alignment.
  • 14. HSPs are Aligned Regions  The results of the word matching and attempts to extend the alignment are segments‐ called HSPs (High‐Scoring Segment Pairs)  BLAST often produces several short HSPs rather than a single aligned region
  • 15. REFERENCEs  Bioinformatics by Attwood  http://www.youtube.com/watch?v=LlnMtI2Sg4g