Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies
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- 作者：Janus Borner ; Thorsten Burmester
- 关键词：Apicomplexa ; Contamination ; Database analysis ; Phylogeny ; Coccidia ; Piroplasmida ; Gregarinasina ; Haemosporida ; Malaria ; Parasites
- 刊名：BMC Genomics
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：18
- 期：1
- 全文大小：1754KB
- 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
- 出版者：BioMed Central
- ISSN：1471-2164
- 卷排序：18
文摘
BackgroundContaminations from various exogenous sources are a common problem in next-generation sequencing. Another possible source of contaminating DNA are endogenous parasites. On the one hand, undiscovered contaminations of animal sequence assemblies may lead to erroneous interpretation of data; on the other hand, when identified, parasite-derived sequences may provide a valuable source of information.