A generalized global alignment algorithm

نویسندگان

  • Xiaoqiu Huang
  • Kun-Mao Chao
چکیده

MOTIVATION Homologous sequences are sometimes similar over some regions but different over other regions. Homologous sequences have a much lower global similarity if the different regions are much longer than the similar regions. RESULTS We present a generalized global alignment algorithm for comparing sequences with intermittent similarities, an ordered list of similar regions separated by different regions. A generalized global alignment model is defined to handle sequences with intermittent similarities. A dynamic programming algorithm is designed to compute an optimal general alignment in time proportional to the product of sequence lengths and in space proportional to the sum of sequence lengths. The algorithm is implemented as a computer program named GAP3 (Global Alignment Program Version 3). The generalized global alignment model is validated by experimental results produced with GAP3 on both DNA and protein sequences. The GAP3 program extends the ability of standard global alignment programs to recognize homologous sequences of lower similarity. AVAILABILITY The GAP3 program is freely available for academic use at http://bioinformatics.iastate.edu/aat/align/align.html.

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عنوان ژورنال:
  • Bioinformatics

دوره 19 2  شماره 

صفحات  -

تاریخ انتشار 2003