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Full-Text Articles in Genetics and Genomics
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp03 And Dp04 From April - August 2016, Cole Easson, Lindsey Freed
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp03 And Dp04 From April - August 2016, Cole Easson, Lindsey Freed
DEEPEND Datasets
Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during planned DEEPEND cruise expeditions to the GOM in 2016. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable regions were generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Raw paired-end sequences were joined and quality filtered in the bioinformatics program, QIIME. Vertical baseline characterizations will track alpha and beta diversity at different depths ranging from 0 – 1500 m, assess seasonal …
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp01 And Dp02 From May 2015 - August 2015, Cole Easson, Jose V. Lopez
Microbiome And Bacterioplankton Rrna Gene Sequence Data Collected From Gulf Of Mexico Seawater Samples, Cruises Dp01 And Dp02 From May 2015 - August 2015, Cole Easson, Jose V. Lopez
DEEPEND Datasets
Seawater was collected and filtered for microbiome and bacterioplankton sequencing and analyses at various depths during two planned DEEPEND cruise expeditions to the GOM. Filters were stored and then processed for total environmental genomic DNA according to standard methods (see earthmicrobiome.org). 16S rRNA amplicon libraries covering the V4 hypervariable region was generated with universal PCR primers and then sequenced on an Illumina MiSeq DNA sequencing platform. Bioinformatics analyses in QIIME and R was used to quality filter and assess microbial community diversity and taxonomic composition. These baseline characterizations track alpha and beta diversity at different depths ranging from 0 – …
Scanning Labyrinthulomycete Genomes For Yeast Transcription Factor Binding Site Motifs, Jackie L. Collier, Joshua Rest
Scanning Labyrinthulomycete Genomes For Yeast Transcription Factor Binding Site Motifs, Jackie L. Collier, Joshua Rest
Interdisciplinary Research Data
To develop broadly useful methods for the genetic manipulation of Labyrinthulomycetes (a diverse group of ubiquitous osmoheterotrophic marine protists), it is essential to understand the similarities and differences in regulation of gene expression among them. Toward this end we have used FIMO from the MEME suite (http://meme-suite.org/doc/fimo.html) to identify potential transcription factor binding sites in each of the three available genome sequences: Aplanochytrium kerguelense PBS07, Schizochytrium aggregatum ATCC 28209, and Aurantiochytrium limacinum ATCC MYA-1381