Sequence data combining method, sequence data combining apparatus and sequence data combining program

A sequence data combining apparatus for re-classifying two or more pieces of sequence data that are classified into several homology groups, including:

• a probability model creating part for creating a probability model for each of homology groups to be processed based on pieces of sequence data in each homology group;
• an identity value calculating part for calculating, from each two probability models among the probability models created by said probability model creating part, an identity value which is an index of identity between the two probability models;
• and
• a homology group creating part for specifying similar homology groups based on the identity values calculated by said identity value calculating part, and of creating a homology group by combining the specified homology groups.

A sequence data combining program causing a computer to execute a process, said process comprising:

• a probability model creating step of creating a probability model for each of homology groups to be processed based on pieces of sequence data in each homology group;
• an identity value calculating step of calculating, from each two probability models among the probability models created in said probability model creating step, an identity value which is an index of identity between the two probability models;
• and
• a homology group creating step of specifying similar homology groups based on the identity values calculated in said identity value calculating step, and of creating a homology group by combining the specified homology groups.

A sequence data combining apparatus for re-classifying two or more pieces of sequence data that are classified into several homology groups, including:

• probability model creating means for creating a probability model for each of homology groups to be processed based on pieces of sequence data in each homology group;
• identity value calculating means for calculating, from each two probability models among the probability models created by said probability model creating means, an identity value which is an index of identity between the two probability models;
• and
• homology group creating means for specifying similar homology groups based on the identity values calculated by said identity value calculating means, and of creating a homology group by combining the specified homology groups.