2003
DOI: 10.1186/1471-2105-4-22
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Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA

Abstract: Background: Simple sequence repeats (SSRs), microsatellites or polymeric sequences are common in DNA and are important biologically. From mononucleotide to trinucleotide repeats and beyond, they can be found in long (> 6 repeating units) tracts and may be characterized by quantifying the frequencies in which they are found and their tract lengths. However, most of the existing computer programs that find SSR tracts do not include these methods.

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Cited by 23 publications
(8 citation statements)
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“…Correspondingly, there are several software tools intended to discover and annotate microsatellites. Some of them can identify only perfect microsatellites (SSRIT [22], Poly [23], TROLL [24], GMATo [25], GMATA [26]) while others can identify also imperfect microsatellites (TRF [27] and pSTR Finder [28], Sputnik [29], Star [30], G-IMEx [31], mreps [32], TandemSWAN [33], SciRoKo [34], Dot2Dot [35], ProGeRF [36], BWtrs [37], T-REKS [38], XSTREAM [39], SSR Locator [40]).…”
Section: Introductionmentioning
confidence: 99%
“…Correspondingly, there are several software tools intended to discover and annotate microsatellites. Some of them can identify only perfect microsatellites (SSRIT [22], Poly [23], TROLL [24], GMATo [25], GMATA [26]) while others can identify also imperfect microsatellites (TRF [27] and pSTR Finder [28], Sputnik [29], Star [30], G-IMEx [31], mreps [32], TandemSWAN [33], SciRoKo [34], Dot2Dot [35], ProGeRF [36], BWtrs [37], T-REKS [38], XSTREAM [39], SSR Locator [40]).…”
Section: Introductionmentioning
confidence: 99%
“…In each case, flanking sequences were obtained up to a maximum length (correlating to the median size of the IGR as indicated in Additional file 1 : Table S1) unless the adjacent ORF was encountered, in which case, only the flanking sequence up to the ORF was taken. The open source algorithm Poly (see Methods) was used to search for and provide quantitative data on the frequencies of homopolymer tracts nucleotides A, G, C and T (collectively termed i) for all lengths N [ 3 , 34 ]. These data include: (1) the fraction of each nucleotide i within these sequences (Fraction i ), (2) the frequency of each tract i of length N bases observed ( f i N obs) as well as that expected ( f i N exp) from randomized sequences of the same length and nucleotide content, (3) the maximal length of each homopolymer tract observed (N max obs, where the occurrence of N max obs was ≥ 4) and that expected (N max exp), again, from randomized sequences of the same length and nucleotide content (Figure 2 and Table 1 ).…”
Section: Resultsmentioning
confidence: 99%
“…The ends of each individual flanking sequence were tagged to prevent the joining of sequences that may create a homopolymeric tract artefact between two sequences. Individual files were analysed using the program Poly [ 34 ], open source software publically available from http://www.bioinformatics.org/poly . Non-overlapping homopolymer tracts of all four types are counted by Poly for the entire file and a number of parameters are then calculated, including: the total base count for each file, its GC composition, and the numbers and the frequencies of the homopolymer tracts of different lengths.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous tool, poly (Bizzaro and Marx, 2003) written in object oriented scripting language Python which gives output having microsatellite locations, tract frequencies and length by command line, thus not user friendly. Pipeline diversity analysis (PDA) (Casillas and Barbadilla, 2004) can search polymorphism in database with genetic diversity estimation without polymorphism and primers for genotyping.…”
Section: Introductionmentioning
confidence: 99%