2007
DOI: 10.1093/bioinformatics/btm296
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PIP: a database of potential intron polymorphism markers

Abstract: Supplementary data are available at Bioinformatics online.

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Cited by 93 publications
(69 citation statements)
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“…The capability of the ITP markers to amplify intronic regions pointed to its efficiency in primer template alignment which could be attributed to accuracy and reliability of the program. This result further indicates that intron positions are highly conserved in plants and therefore using model plants to predict intron positions in nonmodel plants is feasible (Yang et al 2007).…”
Section: Discussionmentioning
confidence: 83%
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“…The capability of the ITP markers to amplify intronic regions pointed to its efficiency in primer template alignment which could be attributed to accuracy and reliability of the program. This result further indicates that intron positions are highly conserved in plants and therefore using model plants to predict intron positions in nonmodel plants is feasible (Yang et al 2007).…”
Section: Discussionmentioning
confidence: 83%
“…Moreover, the ITP markers were also found to be highly suitable for cross-transferability studies and thus useful for identification of genetic determinants of a trait even in less-studied taxa (Choi et al 2004;Wang et al 2005). With the development of web-based programs like PIP (Yang et al 2007) and GeMProspector (Fredslund et al 2006), the designing of ITPs accelerated more rapidly even in orphan crops. Similarly in this study of chickpea, a high success rate of validation of ITP markers was observed (151/220; 68.6%) which was comparable with an earlier study in chickpea which reported 71.9% .…”
Section: Discussionmentioning
confidence: 99%
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“…Availability of whole-genome (Wang et al 2005 ) and soybean (Shu et al 2010 ). A database of potential intron polymorphism (PIP) in plants was developed by Yang et al ( 2007 ). At present, this database has a total of 57,658 PIP markers for 59 plant species that can be readily used by the researchers.…”
Section: Development Of Intron Polymorphism Markersmentioning
confidence: 99%