Description of repeats searching program ReSearch
 Assessing the significance of repeats Let's calclulate the mean repeats number  (l,k) in a random sequence consisting of N nucleotides occurring with frequencies p1,p2,...,pm, where m=4 - is the number of various nucleotide types. The probability of two nucleotides being identical is:           (1) The probability of two random sequence segments of length l differ by k nucleotides is where p is from (1), Cl - is the permutation number of k differences in l positions The number of possible mutual locations of two non-overlapping segments of length l nucleotides could be calculated as follows. The first segment could be located in  N-2*l+1 positions of the sequence. If the frist segment starts from i-th position, then the second one could be located in N-i-2*l+2 positions with non-overlapping. Thus the overall number of nonoverlapping pairs of segments is Mean number of repeats in a random sequence of length N is calculated as: Let's consider only  repeats (l,k) which occur for 1 time in a sequence of length N on the average. In this case we can use the binomial distribution to assess the probability of finding exactly n repeats (l,k) in a target sequence. This probability equals: Then we find threshhold  no  given a significance level q that satisfies:                                                               (4) If the repeat number exceeds the threshold n(l,k) > no(l,k), then we consider the number n as  significantly deviating from the mean number   En(l,k) for a significance level q= 0.05, and the repeat found in n copies we call the nonrandom one. The formulae considered are valid for the direct, complementary, symmetrical and inverse repeats. In case of complementary repeats and inverse ones we use the probability of nucleotides to complement each other instead of (1), that is: References for statistical basis Solovyov V.V., Zharkikh A.A., Kolchanov N.A., Ratner V.A. - FEBS Lett., 1984, v.165, p.72-78.   Program description The program is destined to search for non-perfect repeats of various types in a nucleotide sequences.   Definitions 1. Non perfect repeat is a pair of DNA segments of length l differing one from another by k nucleotides. This pair of segments is called (l,k) repeat. 2. The overall set of (l,k) repeats is called (l,k) group. Types of repeats  definition Depending on type of correspondence we consider the following types of repeats: Direct repeat - two (l,k) segments are located in the same orientation in a single DNA strand; Symmetrical - two (l,k) segments are located in opposite orienation  in a single DNA strand;. Direct complementary repeats - two segments are located in the same orientation in  different DNA strands;. Inverse repeats - two segments are located in oppsite orientation in the different DNA strings.. Program features The program performs the repeats search by group clusters (l,k). After the search the optimization procedure follows consisting of the following steps: the concatenation of the groups  (l,k)  in one set is performed. During that: the repeats flanks are extended if there are coinciding nucleotides ; All abundant repeats are deleted     Program Parameters Repeats types to search parameters   Direct Repeats - turns on the search of direct repeats ;   Direct Complementary Repeats - turns on the search of direct complementary repeats;   Symmetric Repeats - turns on the search of symmetric repeats;   Invert Repeats - turns on the search of invert repeats.     Parameters specifying the features of group (l,k) to search min length (l1), max length (ln), Limit type, Limit are the parameters to define the set of groups  (l,k) that are subject to search: (l1,0),...,(l1,k1), ... (ln,0),...,(ln,kn). Number of mismatches ki depends on statistical threshold given by no(l,k) which is described above. The maximal number of mismatches is limited  by max mismatch number parameter.   min length - the minimal length of the repeated segment max length -the maximal length of the repeated segment max mismatch number -the maximal mismatch number   Limit type - Statistical threshold type. Can be of two values: - In case Limit type=P, accepted are the groups (l,k), that satsify P <= Limit, where P - from (2) - In case Limit type= En, accepted are groups (l,k), that satisfy En <= Limit, where En - the expected repeats number for in a sequence of length N (see (3))   Selection of statistically significant (l,k) groups Save Mode  - Statistical significance switch. - if Save Mode= NOT RANDOM, accepted are groups (l,k), having nonrandom number of repeats; - if Save Mode= ALL, accepted are all groups (l,k)