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In addition to genome sequences, data analysis often includes transcriptomics data ("RNAseq"), as well as proteomics, metabolomics, etc.
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Sequence data analysis from 454 pyrosequencing indicated Rhodoferax and Gallionella as the most abundant genera within the catchment system.
Sequence data analysis utilizes publicly available software supplemented by an expert-curated compendium of >2000 CFTR variants.
For this reason, we continued to perform our small RNA sequence data analysis using the O. sativa Nipponbare reference genome.
Serratia sp. strain DADMA8 was taxonomically identified as S. proteamaculans, based on its 16S rRNA sequence (GenBank accession number AJ233434) and whole genome sequence data analysis.
There, he pivoted again and again, from electrophysiology to RNA-sequencing data analysis, to anatomy and histology, and thence to behavioral analysis.
In order to correctly interpret the quality of the DNA sequencing data, however, proper quality control should be conducted at all stages of DNA sequencing data analysis: raw data, alignment, and variant detection.
Sequencing data analysis and statistical analysis described above were performed on LINUX systems.
The overall flow of the sequencing data analysis is shown schematically in Figure S1.
On the basis of the sequence data analysis, we performed genetic experiments to directly test the prediction that the two hcp promoters would be σ54 dependent.
GP performed all sequence data analysis.
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