Software Open Access
Marcelino, V. R.; Clausen, P.T.C.L; Buchmann, J.P.; Wille, M.; Iredell, J.R.; Meyer, W.; Lund, O.; Sorrell, T.C.; Holmes, E.C.
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">metagenomics</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">microbiome</subfield> </datafield> <controlfield tag="005">20200215192049.0</controlfield> <controlfield tag="001">3668497</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Technical University of Denmark</subfield> <subfield code="a">Clausen, P.T.C.L</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Buchmann, J.P.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The Peter Doherty Institute for Infection and Immunity</subfield> <subfield code="a">Wille, M.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Iredell, J.R.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Meyer, W.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">Technical University of Denmark</subfield> <subfield code="a">Lund, O.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Sorrell, T.C.</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Holmes, E.C.</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">645439</subfield> <subfield code="z">md5:7df3904321a6576e3f03fe09105401ee</subfield> <subfield code="u">https://zenodo.org/record/3668497/files/CCMetagen-1.0.0.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-05-18</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">software</subfield> <subfield code="o">oai:zenodo.org:3668497</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">The University of Sydney</subfield> <subfield code="a">Marcelino, V. R.</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>CCMetagen is a software to identify taxa from metagenome data. This repository contains CCMetagen version 1.0.0, which was benchmarked with other software in the original CCMetagen publication.</p> <p>High-throughput sequencing of DNA and RNA from environmental and host-associated samples (metagenomics and metatranscriptomics) is a powerful tool to assess which organisms are present in a sample. Taxonomic identification software usually align individual short sequence reads to a reference database, sometimes containing taxa with complete genomes only. This is a challenging task given that different species can share identical sequence regions and complete genome sequences are only available for a fraction of organisms. A recently developed approach to map sequence reads to reference databases involves weighing all high scoring read-mappings to the data base as a whole to produce better-informed alignments. We used this novel concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. Our pipeline substantially outperforms other commonly used software in identifying bacteria and fungi, and can efficiently use the entire NCBI nucleotide collection as a reference to detect species with incomplete genome data from all biological kingdoms. CCMetagen is user-friendly and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isDocumentedBy</subfield> <subfield code="a">10.1101/641332</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3668496</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3668497</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">software</subfield> </datafield> </record>
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