Genomics

Dataset Information

124


ABSTRACT: A method for identifying metagenomic species and variable genetic elements by exhaustive co-abundance binning

PROVIDER: PRJEB1220 | ENA |

REPOSITORIES: ENA

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Publications

Identification and assembly of genomes and genetic elements in complex metagenomic samples without using reference genomes.

Nielsen H Bjørn HB   Almeida Mathieu M   Juncker Agnieszka Sierakowska AS   Rasmussen Simon S   Li Junhua J   Sunagawa Shinichi S   Plichta Damian R DR   Gautier Laurent L   Pedersen Anders G AG   Le Chatelier Emmanuelle E   Pelletier Eric E   Bonde Ida I   Nielsen Trine T   Manichanh Chaysavanh C   Arumugam Manimozhiyan M   Batto Jean-Michel JM   Quintanilha Dos Santos Marcelo B MB   Blom Nikolaj N   Borruel Natalia N   Burgdorf Kristoffer S KS   Boumezbeur Fouad F   Casellas Francesc F   Doré Joël J   Dworzynski Piotr P   Guarner Francisco F   Hansen Torben T   Hildebrand Falk F   Kaas Rolf S RS   Kennedy Sean S   Kristiansen Karsten K   Kultima Jens Roat JR   Léonard Pierre P   Levenez Florence F   Lund Ole O   Moumen Bouziane B   Le Paslier Denis D   Pons Nicolas N   Pedersen Oluf O   Prifti Edi E   Qin Junjie J   Raes Jeroen J   Sørensen Søren S   Tap Julien J   Tims Sebastian S   Ussery David W DW   Yamada Takuji T   Renault Pierre P   Sicheritz-Ponten Thomas T   Bork Peer P   Wang Jun J   Brunak Søren S   Ehrlich S Dusko SD  

Nature biotechnology 20140706 8


Most current approaches for analyzing metagenomic data rely on comparisons to reference genomes, but the microbial diversity of many environments extends far beyond what is covered by reference databases. De novo segregation of complex metagenomic data into specific biological entities, such as particular bacterial strains or viruses, remains a largely unsolved problem. Here we present a method, based on binning co-abundant genes across a series of metagenomic samples, that enables comprehensive  ...[more]

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