ORI-GENE: gene classification based on the evolutionary tree
نویسندگان
چکیده
منابع مشابه
ORI-GENE: gene classification based on the evolutionary tree
MOTIVATION Genome projects have produced large amounts of data on the sequences of new genes whose functions are as yet unknown. The functions of new genes are usually inferred by comparing their sequences with those of known genes, but evaluation of the sequence homology of individual genes does not make the most of the available sequence information. Therefore, new methods and tools for extra...
متن کاملORI-GENE: A Tool for Gene Classi cation Based on Evolutional Tree
As a result of progressing large-scale sequencing, a huge number of genes have been newly identi ed. Therefore, it became more important to predict function of these genes from its sequence. Generally, for this end, homology search by computational tools such as BLAST [1] and FASTA [2] is used as the most e ective method. However, if no homologous sequences are found, or if the functions of the...
متن کاملSFLA Based Gene Selection Approach for Improving Cancer Classification Accuracy
In this paper, we propose a new gene selection algorithm based on Shuffled Frog Leaping Algorithm that is called SFLA-FS. The proposed algorithm is used for improving cancer classification accuracy. Most of the biological datasets such as cancer datasets have a large number of genes and few samples. However, most of these genes are not usable in some tasks for example in cancer classification....
متن کاملAn Evolutionary and Phylogenetic Study of the BMP15 Gene
DNA sequence data contains a wealth of biologically useful information. Recent innovations in DNA sequencing technology have greatly increased our capacity to determine massive amounts of nucleotide sequences. These sequences can be used to specify the characteristics of different regions, interpret the evolutionary relationships between categorized groups, likelihood of performing multiple com...
متن کاملEvolutionary Algorithm Based on Overlapped Gene Expression
Inspired by the overlap gene expression in biological study, this paper proposes a novel evolutionary algorithm-EAOGE i.e. Evolutionary Algorithm based on Overlapped Gene Expression. Different from existing works, EAOGE suggests a new expression structure of genes with probabilities of overlapped expression for some segments. The main contributions are: (1) Proposing a novel model and an algori...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2001
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/17.2.167