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Martin Hunt

Publications and source records attributed to Martin Hunt.

4 recordsLinked to original sources

Comparison of bacterial genome assembly software for MinION data

Antimicrobial resistance genes can be carried on plasmids or on mobile elements integrated into the chromosome. We sequenced a multidrug resistant Enterobacter kobei genome isolated from wastewater in the United Kingdom, but were unable to conclusively identify plasmids from the short read assembly. Our aim was to compare and contrast the accuracy and characteristics of open source software (PBcR, Canu, miniasm and SPAdes) for the assembly of bacterial genomes (including plasmids) generated by the MinION instrument. Miniasm produced an assembly in the shortest time, but Canu produced the most accurate assembly overall. We found that MinION data alone was able to generate a contiguous and accurate assembly of an isolate with multiple plasmids.

Genomics

Robust high throughput prokaryote de novo assembly and improvement pipeline for Illumina data

The rapidly reducing cost of bacterial genome sequencing has lead to its routine use in large scale microbial analysis. Though mapping approaches can be used to find differences relative to the reference, many bacteria are subject to constant evolutionary pressures resulting in events such as the loss and gain of mobile genetic elements, horizontal gene transfer through recombination and genomic rearrangements. De novo assembly is the reconstruction of the underlying genome sequence, an essential step to understanding bacterial genome diversity. Here we present a high throughput bacterial assembly and improvement pipeline that has been used to generate nearly 20,000 draft genome assemblies in public databases. We demonstrate its performance on a public data set of 9,404 genomes. We find all the genes used in MLST schema present in 99.6% of assembled genomes. When tested on low, neutral and high GC organisms, more than 94% of genes were present and completely intact. The pipeline has proven to be scalable and robust with a wide variety of datasets without requiring human intervention. All of the software is available on GitHub under the GNU GPL open source license.\n\nDATA SUMMARYO_LIThe assembly pipeline software is available from Github under the GNU GPL open source license; (url - https://github.com/sanger-pathogens/vr-codebase)\nC_LIO_LIThe assembly improvement software is available from Github under the GNU GPL open source license; (url - https://github.com/sanger-pathogens/assembly_improvement)\nC_LIO_LIAccession numbers for 9,404 assemblies are provided in the supplementary material.\nC_LIO_LIThe Bordetella pertussis sample has sample accession ERS1058649, sequencing reads accession ERR1274624 and assembly accessions FJMX01000001-FJMX01000249.\nC_LIO_LIThe Salmonella enterica subsp. enterica serovar Pullorum sample has sample accession ERS1058652, sequencing reads accession ERR1274625 and assembly accession FJMV01000001-FJMV01000026.\nC_LIO_LIThe Staphylococcus aureus sample has sample accession ERS1058648, sequencing reads accession ERR1274626 and assembly accessions FJMW01000001-FJMW01000040.\nC_LI\n\nI/We confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.{ballotcheck}\n\nIMPACT STATEMENTThe pipeline described in this paper has been used to assemble and annotate 30% of all bacterial genome assemblies in GenBank (18,080 out of 59,536, accessed 16/2/16). The automated generation of de novo assemblies is a critical step to explore bacterial genome diversity. MLST genes are found in 99.6% of cases, making it at least as good as existing typing methods. In the test genomes we present, more than 94% of genes are correctly assembled into intact reading frames.

Bioinformatics

Circlator: automated circularization of genome assemblies using long sequencing reads

The assembly of DNA sequence data into finished genomes is undergoing a renais-sance thanks to emerging technologies producing reads of tens of kilobases. Assembling complete bacterial and small eukaryotic genomes is now possible, but the final step of circularizing sequences remains unsolved. Here we present Circlator, the first tool to automate assembly circularization and produce accurate linear rep-resentations of circular sequences. Using Pacific Biosciences and Oxford Nanopore data, Circlator correctly circularized 26 of 27 circularizable sequences, comprising 11 chromosomes and 12 plasmids from bacteria, the apicoplast and mitochondrion of Plasmodium falciparum and a human mitochondrion. Circlator is available at http://sanger-pathogens.github.io/circlator/.

Bioinformatics

Roary: Rapid large-scale prokaryote pan genome analysis

SummaryA typical prokaryote population sequencing study can now consist of hundreds or thousands of isolates. Interrogating these datasets can provide detailed insights into the genetic structure of of prokaryotic genomes. We introduce Roary, a tool that rapidly builds large-scale pan genomes, identifying the core and dispensable accessory genes. Roary makes construction of the pan genome of thousands of prokaryote samples possible on a standard desktop without compromising on the accuracy of results. Using a single CPU Roary can produce a pan genome consisting of 1000 isolates in 4.5 hours using 13 GB of RAM, with further speedups possible using multiple processors.\n\nAvailability and implementationRoary is implemented in Perl and is freely available under an open source GPLv3 license from http://sanger-pathogens.github.io/Roary\n\nContactroary@sanger.ac.uk\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

Bioinformatics