2010•Unpublished venueRequires access

Sequential Sequence Mining Technique in Large Database of Gene Sequence

Kiran R. Amin, J.S. Shah

Open publisher page 2 citations

Abstract

The Sequential Sequence Mining produces large gene sequence. It is important find out meaningful information from the huge data. It mostly depends on the cell as such the most of these processes are controlled by the gene expression. Sequential Sequence Mining technique is useful to find sequential relationships between genes. Many algorithms have been developed to associate the huge amount of gene sequence. This paper focuses on Sequential Sequence Mining algorithms to analyze large gene sequence.

About this research paper

What this paper is about

The Sequential Sequence Mining produces large gene sequence. It is important find out meaningful information from the huge data. It mostly depends on the cell as such the most of these processes are controlled by the gene expression. Sequential Sequence Mining technique is useful to find sequential relationships between genes. Many algorithms have been developed to associate the huge amount of gene sequence. This paper focuses on Sequential Sequence Mining algorithms to analyze large gene sequence.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The Sequential Sequence Mining produces large gene sequence. It is important find out meaningful information from the huge data. It mostly depends on the cell as such the most of these processes are controlled by the gene expression. Sequential Sequence Mining technique is useful to find sequential relationships between genes. Many algorithms have been developed to associate the huge amount of gene sequence. This paper focuses on Sequential Sequence Mining algorithms to analyze large gene sequence.

Key concepts: Sequence (biology), Sequential Pattern Mining, Sequence database, Computer science, Alignment-free sequence analysis, Gene, Data mining, Sequence analysis

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