Experiments using this algorithm were done to detect the potential binding motifs in archaeal genomic sequences, and the results were analyzed among different ...

Experiments using this algorithm were done to detect the potential binding motifs in archaeal genomic sequences, and the results were analyzed among different ...

Experiments using this algorithm were done to detect the potential binding motifs in archaeal genomic sequences, and the results were analyzed among different ...

Abstract. Identifying the binding sites and promoters in the genomes remains one of the most research topics in computational biology in past ten years. In.

An Improved Algorithm on Detecting Transcription and Translation Motif in Archaeal Genomic Sequences. https://doi.org/10.1007/978-3-540-74771-0_23 ·.

The new gene prediction method, called GeneMarkS, utilizes a non-supervised training procedure and can be used for a newly sequenced prokaryotic genome

We describe a program, tRNAscan-SE, which identifies 99–100% of transfer RNA genes in DNA sequence while giving less than one false positive per 15 gigabases.

This thesis takes advantage of recent advances in genomics, describing new methods and algorithms to improve the understanding of translation and genetic ...

tRNAscan-SE has been widely used for transfer RNA (tRNA) gene prediction for over twenty years, developed just as the first genomes were decoded.

Feb 1, 2010 · In the present study, an exhaustive analysis of gene sequences from 52 completely sequenced archaeal genomes to identify potential DNA-binding ...