Provided by: libtfbs-perl_0.7.1-2_amd64

**NAME**

TFBS::Matrix::PFM - class for raw position frequency matrix patterns

**SYNOPSIS**

· creating a TFBS::Matrix::PFM object manually: my $matrixref = [ [ 12, 3, 0, 0, 4, 0 ], [ 0, 0, 0, 11, 7, 0 ], [ 0, 9, 12, 0, 0, 0 ], [ 0, 0, 0, 1, 1, 12 ] ]; my $pfm = TFBS::Matrix::PFM->new(-matrix => $matrixref, -name => "MyProfile", -ID => "M0001" ); # or my $matrixstring = "12 3 0 0 4 0\n0 0 0 11 7 0\n0 9 12 0 0 0\n0 0 0 1 1 12"; my $pfm = TFBS::Matrix::PFM->new(-matrixstring => $matrixstring, -name => "MyProfile", -ID => "M0001" ); · retrieving a TFBS::Matix::PFM object from a database: (See documentation of individual TFBS::DB::* modules to learn how to connect to different types of pattern databases and retrieve TFBS::Matrix::* objects from them.) my $db_obj = TFBS::DB::JASPAR2->new (-connect => ["dbi:mysql:JASPAR2:myhost", "myusername", "mypassword"]); my $pfm = $db_obj->get_Matrix_by_ID("M0001", "PFM"); # or my $pfm = $db_obj->get_Matrix_by_name("MyProfile", "PFM"); · retrieving list of individual TFBS::Matrix::PFM objects from a TFBS::MatrixSet object (See the TFBS::MatrixSet to learn how to create objects for storage and manipulation of multiple matrices.) my @pfm_list = $matrixset->all_patterns(-sort_by=>"name"); · convert a raw frequency matrix to other matrix types: my $pwm = $pfm->to_PWM(); # convert to position weight matrix my $icm = $icm->to_ICM(); # convert to information con

**DESCRIPTION**

TFBS::Matrix::PFM is a class whose instances are objects representing raw position frequency matrices (PFMs). A PFM is derived from N nucleotide patterns of fixed size, e.g. the set of sequences AGGCCT AAGCCT AGGCAT AAGCCT AAGCCT AGGCAT AGGCCT AGGCAT AGGTTT AGGCAT AGGCCT AGGCCT will give the matrix: A:[ 12 3 0 0 4 0 ] C:[ 0 0 0 11 7 0 ] G:[ 0 9 12 0 0 0 ] T:[ 0 0 0 1 1 12 ] which contains the count of each nucleotide at each position in the sequence. (If you have a set of sequences as above and want to create a TFBS::Matrix::PFM object out of them, have a look at TFBS::PatternGen::SimplePFM module.) PFMs are easily converted to other types of matrices, namely information content matrices and position weight matrices. A TFBS::Matrix::PFM object has the methods to_ICM and to_PWM which do just that, returning a TFBS::Matrix::ICM and TFBS::Matrix::PWM objects, respectively.

**FEEDBACK**

Please send bug reports and other comments to the author.

**AUTHOR** **-** **Boris** **Lenhard**

Boris Lenhard <Boris.Lenhard@cgb.ki.se>

**APPENDIX**

The rest of the documentation details each of the object methods. Internal methods are preceded with an underscore.newTitle : new Usage : my $pfm = TFBS::Matrix::PFM->new(%args) Function: constructor for the TFBS::Matrix::PFM object Returns : a new TFBS::Matrix::PFM object Args : # you must specify either one of the following three: -matrix, # reference to an array of arrays of integers #or -matrixstring,# a string containing four lines # of tab- or space-delimited integers #or -matrixfile, # the name of a file containing four lines # of tab- or space-delimited integers ####### -name, # string, OPTIONAL -ID, # string, OPTIONAL -class, # string, OPTIONAL -tags # an array reference, OPTIONAL Warnings : Warns if the matrix provided has columns with different sums. Columns with different sums contradict the usual origin of matrix data and, unless you are absolutely sure that column sums _should_ be different, it would be wise to check your matrices.column_sumTitle : column_sum Usage : my $nr_sequences = $pfm->column_sum() Function: calculates the sum of elements of one column (the first one by default) which normally equals the number of sequences used to derive the PFM. Returns : the sum of elements of one column (an integer) Args : columnn number (starting from 1), OPTIONAL - you DO NOT need to specify it unless you are dealing with a matrixto_PWMTitle : to_PWM Usage : my $pwm = $pfm->to_PWM() Function: converts a raw frequency matrix (a TFBS::Matrix::PFM object) to position weight matrix. At present it assumes uniform background distribution of nucleotide frequencies. Returns : a new TFBS::Matrix::PWM object Args : none; in the future releases, it should be able to accept a user defined background probability of the four nucleotidesto_ICMTitle : to_ICM Usage : my $icm = $pfm->to_ICM() Function: converts a raw frequency matrix (a TFBS::Matrix::PFM object) to information content matrix. At present it assumes uniform background distribution of nucleotide frequencies. Returns : a new TFBS::Matrix::ICM object Args : -small_sample_correction # undef (default), 'schneider' or 'pseudocounts' How a PFM is converted to ICM: For a PFM element PFM[i,k], the probability without pseudocounts is estimated to be simply p[i,k] = PFM[i,k] / Z where - Z equals the column sum of the matrix i.e. the number of motifs used to construct the PFM. - i is the column index (position in the motif) - k is the row index (a letter in the alphacer, here k is one of (A,C,G,T) Here is how one normally calculates the pseudocount-corrected positional probability p'[i,j]: p'[i,k] = (PFM[i,k] + 0.25*sqrt(Z)) / (Z + sqrt(Z)) 0.25 is for the flat distribution of nucleotides, and sqrt(Z) is the recommended pseudocount weight. In the general case, p'[i,k] = (PFM[i,k] + q[k]*B) / (Z + B) where q[k] is the background distribution of the letter (nucleotide) k, and B an arbitrary pseudocount value or expression (for no pseudocounts B=0). For a given position i, the deviation from random distribution in bits is calculated as (Baldi and Brunak eq. 1.9 (2ed) or 1.8 (1ed)): - for an arbitrary alphabet of A letters: D[i] = log2(A) + sum_for_all_k(p[i,k]*log2(p[i,k])) - special case for nucleotides (A=4) D[i] = 2 + sum_for_all_k(p[i,k]*log2(p[i,k])) D[i] equals the information content of the position i in the motif. To calculate the entire ICM, you have to calculate the contrubution of each nucleotide at a position i to D[i], i.e. ICM[i,k] = p'[i,k] * D[i]draw_logoTitle : draw_logo Usage : my $gd_image = $pfm->draw_logo() Function: draws a sequence logo; similar to the method in TFBS::Matrix::ICM, but can automatically calculate error bars for drawing Returns : a GD image object (see documentation of GD module) Args : many; PFM-specific options are: -small_sample_correction # One of # "Schneider" (uses correction # described by Schneider et al. # (Schneider t et al. (1986) J.Biol.Chem. # "pseudocounts" - standard pseudocount # correction, more suitable for # PFMs with large r column sums # If the parameter is omitted, small # sample correction is not applied -draw_error_bars # if true, adds error bars to each position # in the logo. To calculate the error bars, # it uses the -small_sample_connection # argument if explicitly set, # or "Schneider" by default For other args, see draw_logo entry in TFBS::Matrix::ICM documentationadd_PFMTitle : add_PFM Usage : $pfm->add_PFM($another_pfm) Function: adds the values of $pnother_pfm matrix to $pfm Returns : reference to the updated $pfm object Args : a TFBS::Matrix::PFM objectnameIDclassmatrixlengthrevcomrawprintprettyprintThe above methods are common to all matrix objects. Please consult TFBS::Matrix to find out how to use them.