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Genomic Adaptation for Organohalide Respiration of Vinyl Chloride and Other Priority Pollutants by the Anaerobic Bacterium Dehalococcoides
Vinyl chloride (VC) is a widespread groundwater pollutant and Group 1 carcinogen. Microbial respiration of VC is both critical for complete remediation of chloroethenes in situ, and a unique physiology only observed by certain strains of Dehalococcoides. Two different genes independently encoding VC respiration in Dehalococcoides, vcrA and bvcA, were identified previously, each a member of the diverse family of reductive dehalogenase homologous genes, or rdhA. In this thesis I report that vcrA and bvcA are among a subset of putative 'foreign' rdhA with a low GC3 codon usage that favors the nucleotide T, even though tRNAs recognizing T-ending codons are categorically absent in Dehalococcoides...
United States Supreme Court Reports
First series, books 1-43, includes "Notes on U.S. reports" by Walter Malins Rose.
The Hounshell Family of Southwest Virginia
John Hounshell Jr. died 11 August 1826 in Wythe County and is buried in St. Paul's Lutheran Church Cemetery, near Crocket, Virginia.
Bioinformatic and Statistical Analysis of Microbiome Data
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioinformatics and statistics, which provides a complete workflow for microbiome data analysis: from raw sequencing reads to community analysis and statistical hypothesis testing. It includes real-world data from the authors’ research and from the public domain, and discusses the implementation of QIIME 2 and R for data analysis step-by-step. The data as well as QIIME 2 and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter so that these new methods can be readily applied in their own research. Bioinformatic and Statistical Analysis of Microbiome Data is an ideal book for advanced graduate students and researchers in the clinical, biomedical, agricultural, and environmental fields, as well as those studying bioinformatics, statistics, and big data analysis.
U. S. Army Register
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