Ccs147-jager dvi BMC Bioinformatics 2010, 11:340 doi: 10 1186 1471-2105-11-340-2025

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The most widespread algorithms for gene finding in prokaryotes are based on Markov models and dynamic programming. Prokaryotic gene features useful for ab initio prediction. The simplest ab initio method is to inspect Open Reading Frames (ORFs).
Your genes affect many things about you, including how you look (for example, your eye color or height) and how your body works (for example, your blood type). In some cases, your genes are linked to diseases that run in your family.
The final output of Prodigal consists of a complete list of gene coordinates and, at the users specification, protein translations and/or detailed information about each potential start in the genome.
Prodigal (PROkaryotic DynamIc programming Genefinding ALgorithm) is an open source lightweight microbial genefinding program developed at University of Tennessee and Oak Ridge National Laboratory.
✓Gene prediction basically means locating genes along genome. Also. called gene finding, it refers to the process of identifying the regions of genomic DNA that encode genes. ✓This includes protein coding genes, RNA genes and other functional elements such as the regulatory genes.
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Gene prediction in prokaryotes typically involves evaluating the coding potential of genomic segments which are delimited by conserved nucleotide motifs. The most widely used gene finding programs build a gene model based on the characteristics of sequences which are likely to be real genes [46].
Prokaryotic gene expression (both transcription and translation) occurs within the cytoplasm of a cell due to the lack of a defined nucleus; thus, the DNA is freely located within the cytoplasm. Eukaryotic gene expression occurs in both the nucleus (transcription) and cytoplasm (translation).