title: GFinisher: a new strategy to refine and finish bacterial genome assemblies.
abstract: Despite the development in DNA sequencing technology, improving the number and the length of reads, the process of reconstruction of complete genome sequences, the so called genome assembly, is still complex. Only 13% of the prokaryotic genome sequencing projects have been completed. Draft genome sequences deposited in public databases are fragmented in contigs and may lack the full gene complement. The aim of the present work is to identify assembly errors and improve the assembly process of bacterial genomes. The biological patterns observed in genomic sequences and the application of a priori information can allow the identification of misassembled regions, and the reorganization and improvement of the overall de novo genome assembly. GFinisher starts generating a Fuzzy GC skew graphs for each contig in an assembly and follows breaking down the contigs in critical points in order to reassemble and close them using jFGap. This has been successfully applied to dataset from 96 genome assemblies, decreasing the number of contigs by up to 86%. GFinisher can easily optimize assemblies of prokaryotic draft genomes and can be used to improve the assembly programs based on nucleotide sequence patterns in the genome. The software and source code are available at http://gfinisher.sourceforge.net/.
authors.affiliation: Department of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.|Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Dieval
authors.initials: D
authors.lastname: Guizelini
authors.affiliation: Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Roberto T
authors.initials: RT
authors.lastname: Raittz
authors.affiliation: Department of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.|Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Leonardo M
authors.initials: LM
authors.lastname: Cruz
authors.affiliation: Department of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.|Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Emanuel M
authors.initials: EM
authors.lastname: Souza
authors.affiliation: Department of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.|Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Maria B R
authors.initials: MB
authors.lastname: Steffens
authors.affiliation: Department of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.|Graduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
authors.forename: Fabio O
authors.initials: FO
authors.lastname: Pedrosa
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods*; D058977:Molecular Sequence Annotation; D012984:Software