physical mapping ii + perl cis 667 march 2, 2004
Post on 22-Dec-2015
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TRANSCRIPT
Restriction Site Models
• Let each fragment in the Double Digest Problem be represented by its length No measurement errors All fragments present
• Digesting the target DNA by the first enzyme gives the multiset A = {a1, a2, …, an}
• The second enzyme gives B = {b1, b2, …, bn}• Digestion with both gives O = {o1, o2, …, on}
Restriction Site Models
• We want to find a permutation A of the elements of A and B of the elements of B Plot lengths A from on a line in the order of A
Plot lengths B from on a line in the order of B
on top of previous plot Several new subintervals may be produced
We need a one-to-one correspondence between each resulting subinterval and each element of O
Restriction Site Models
• This problem is NP-complete It is a generalization of the set partition
problem The number of solutions is exponential
• Partial Digest problem has not been proven to be NP-complete The number of solutions is much smaller
than for DDP
Interval Graph Models
• We model hybridization mapping using interval graphs Much simpler than the real problem, but
still NP-complete Uses graphs
Vertices represent clones Edges represent overlap information
between clones
First Interval Graph Model
• Uses two graphs Gr = (V, Er)
(i, j) Er means we know clones i, j overlap
Gt = (V, Et) Et represents known and unknown overlap
information If we know for sure that two clones don’t
overlap, the corresponding edge is left out of the graph Gt
First Interval Graph Model
• Does there exist a graph Gs = (V, Es) such that Er Es Et such that Gs is an interval graph? An interval graph G = (V, E) is an
undirected graph obtained from a collection C of intervals on the real line To each interval in C there corresponds a
vertex in G There is an edge between u and v only if
their intervals have a non-empty intersection
Second Interval Graph Model
• Don’t assume that known overlap information is reliable Construct a graph G = (V, E) using that
information Does there exist a graph G’ = (V, E’)
such that E’ E, G’ is an interval graph and |E’| is maximum? We have discarded some false positives The solution is the interpretation that
contains the minimum number of false positives
Third Interval Graph Model
• Use overlap information along with information about each clone Different clones come from different
copies of the same molecule Label each clone with the identification
of the molecule copy it came from Assume we had k copies of the target
DNA and different restriction enzymes were used to break up each copy
Third Interval Graph Model
• Build a graph G = (V, E) with known overlap information between clones Use k colors to color the vertices No edges between vertices of the same color
since they come from the same clone and hence cannot overlap We say that such a graph has a valid coloring Does there exist graph G’ = (V’, E) such that , G’ is an
interval graph, and the coloring of G is valid for G’? I.e., Can we add edges to G transforming it into an
interval graph without violating the coloring?
Consecutive Ones Property
• We can apply the previous models in any situation where we can obtain some type of fingerprint for each fragment Now we use as a clone fingerprint the set of
probes that hybridize to it Assumptions
Reverse complement of each probe’s sequence occurs only once in the target DNA (“probes are unique”
There are no errors All “clones X probes” hybridization experiments have
been done
Consecutive Ones Property
• If we have n clones and m probes we will build an n m binary matrix M, where each entry Mij tells us whether probe j hybridized to clone i or not Then obtaining a physical map from the matrix
becomes the problem of finding a permutation of the columns (probes) such that all 1s in each row (clone) are consecutive Such a matrix is said to have the consecutive 1s
property for rows (C1P)
Consecutive Ones Property
• There exist polynomial algorithms for the C1P property Works only for data with no errors Realistic algorithms should try to find matrixes
which approximate the C1P property, while minimizing the number of errors which must have been present to lead to such a solution Allow 2 or 3 runs of 1s in a row Minimize the number of runs of 1s in the matrix
• Problem is now NP-hard
Perl substitution operator
• Example of Perl substitution operator
$RNA =~ s/T/U/g;
variable binding operator
substitute operator
PATTERN regular expressionTo be replaced by REPLACEMENT
delimiter
REPLACEMENTtext to replace PATTERN
Pattern modifier: g meansglobally, throughout thestring. Others:i case insensitivem multilines single line
Example 1
• Let’s use the substitution operator to calculate the reverse complement of a strand of DNA
Example 2
• One common task in bioinformatics is to look for motifs, short segments of DNA or protein of interest For example, regulatory elements of DNA
• Let’s see a program to Read in protein sequence data from a file Put all the sequence data into one string for
easy searching Look for motifs the user types in at the
keyboard
Turning arrays into Scalars
• We often find sequence data broken into short segments of 80 or so characters This is inconvenient for the Perl program
Have to deal with motifs on more than one line
Collapse an array into a scalar with join $protein = join( ‘’, @protein)
Regular expressions
• Regular expressions are ways of matching one or more strings using special wildcard-like operators $protein =~ s/\s//g
\s matches whitespace Can also be written [ \t\n\f\r]
if ($motif =~ /^\s*$/ ) { ^ - beginning of line; $ - end of line * repeated zero or more times
Hashes
• There are three main data types in Perl: scalar variables, arrays and hashes (also called associative arrays) A hash provides a fast lookup of the
value associated with a key Initialized like this:%classification = (
‘dog’ => ‘mammal’,‘robin’ => ‘bird’‘asp’ => ‘reptile’
);
Example 3
• Let’s look at the use of a hash by a subroutine to translate a codon to an amino acid using hash lookup codon2aa
Example 3
• The arguments to the subroutine are in the @_ array
• Declare a local variable as a my variable
• my($dna) = @_;