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Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.

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Title: Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.
Authors: Borner, Janus1 janus.borner@uni-hamburg.de, Burmester, Thorsten1 thorsten.burmester@uni-hamburg.de
Source: BMC Genomics. 1/19/2017, Vol. 18, p1-12. 12p. 4 Diagrams, 2 Charts.
Database: Academic Search Ultimate
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  Data: Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Genomics%22">BMC Genomics</searchLink>. 1/19/2017, Vol. 18, p1-12. 12p. 4 Diagrams, 2 Charts.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=120926668
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        Value: 10.1186/s12864-017-3504-1
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      – TitleFull: Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.
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              Text: 1/19/2017
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