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Title: Automated Single Cell Data Decontamination Pipeline

Recent technological advancements in single-cell genomics have encouraged the classification and functional assessment of microorganisms from a wide span of the biospheres phylogeny.1,2 Environmental processes of interest to the DOE, such as bioremediation and carbon cycling, can be elucidated through the genomic lens of these unculturable microbes. However, contamination can occur at various stages of the single-cell sequencing process. Contaminated data can lead to wasted time and effort on meaningless analyses, inaccurate or erroneous conclusions, and pollution of public databases. A fully automated decontamination tool is necessary to prevent these instances and increase the throughput of the single-cell sequencing process
Authors:
 [1] ;  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Walnut Creek, CA (United States). Dept. of Energy Joint Genome Inst.
Publication Date:
OSTI Identifier:
1241183
Report Number(s):
LBNL--7060E
DOE Contract Number:
AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: 9th Annual Genomics of Energy & Environment Meeting, Walnut Creek, CA (United States), 17-20 Mar 2014
Research Org:
Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; 99 GENERAL AND MISCELLANEOUS Contaminated data; SCDDP; NCBI taxonomy