Evidence map›Paper›PMID 27721396›Full record

ArticleScientific reports2016

GFinisher: a new strategy to refine and finish bacterial genome assemblies.

Dieval Guizelini, Roberto T Raittz, Leonardo M Cruz, Emanuel M Souza, Maria B R Steffens, Fabio O Pedrosa

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dieval GuizeliniDepartment of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
Roberto T RaittzGraduate Program in Bioinformatics, Sector of Professional and Technological Education, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
Leonardo M CruzDepartment of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
Emanuel M SouzaDepartment of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
Maria B R SteffensDepartment of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.
Fabio O PedrosaDepartment of Biochemistry and Molecular Biology, Federal University of Parana (UFPR), Curitiba, PR, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/.

Indexed as

Genome, BacterialMolecular Sequence AnnotationComputational BiologyGenomicsSoftware

Identifiers

PMID27721396
PMCPMC5056350

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.