The 97-megabase genomic sequence of the nematode Caenorhabditis elegans reveals
over 19,000 genes. More than 40 percent of the predicted protein products find significant …

Research into new methods to identify genes in anonymous genomic sequences has been
going on for more than 15 years. Over this period of time, the field has evolved from the …

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

Methanogenesis is the primary biogenic source of methane in the atmosphere and a key
contributor to climate change. The long-standing dogma that methanogenesis originated …

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. Two previously …

Probabilistic models are becoming increasingly important in analysing the huge amount of
data being produced by large-scale DNA-sequencing efforts such as the Human Genome …

A computer program, ARAGORN, identifies tRNA and tmRNA genes. The program employs
heuristic algorithms to predict tRNA secondary structure, based on homology with …

Bacillus subtilis is the best-characterized member of the Gram-positive bacteria. Its genome
of 4,214,810 base pairs comprises 4,100 protein-coding genes. Of these protein-coding …

Transfer RNAs (tRNAs) and small nucleolar RNAs (snoRNAs) are two of the largest classes
of non-protein-coding RNAs. Conventional gene finders that detect protein-coding genes do …

Transfer RNAs (tRNAs) represent the single largest, best-understood class of non-protein
coding RNA genes found in all living organisms. By far, the major source of new tRNAs is …