Alex Lomsadze

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In this unit, the GeneMark and GeneMark.hmm programs are presented as two different methods for the in silico prediction of genes in prokaryotes. GeneMark can be used for whole genome analysis as well as for the local analysis of a particular gene and its surrounding regions. GeneMark.hmm makes use of Hidden Markov models to find the transition points(More)
This unit describes how to use several gene-finding programs from the GeneMark line developed for finding protein-coding ORFs in genomic DNA of prokaryotic species, in genomic DNA of eukaryotic species with intronless genes, in genomes of viruses and phages, and in prokaryotic metagenomic sequences, as well as in EST sequences with spliced-out introns.(More)
This unit describes how to use the gene-finding programs GeneMark.hmm-E and GeneMark-ES for finding protein-coding genes in the genomic DNA of eukaryotic organisms. These bioinformatics tools have been demonstrated to have state-of-the-art accuracy for many fungal, plant, and animal genomes, and have frequently been used for gene annotation in novel genomic(More)
The subfamily of the Lemnoideae belongs to a different order than other monocotyledonous species that have been sequenced and comprises aquatic plants that grow rapidly on the water surface. Here we select Spirodela polyrhiza for whole-genome sequencing. We show that Spirodela has a genome with no signs of recent retrotranspositions but signatures of two(More)
In this unit, eukaryotic GeneMark.hmm is presented as a method for detecting genes in eukaryotic DNA sequences. The eukaryotic GeneMark.hmm uses Markov models of protein coding and noncoding sequences, as well as positional nucleotide frequency matrices for prediction of the translational start, translational termination and splice sites. All these models(More)
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