Claudia Vilo

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We report the draft genome sequence of Cupriavidus sp. strain SK-3, which can use 4-chlorobiphenyl and 4-clorobenzoic acid as the sole carbon source for growth. The draft genome sequence allowed the study of the polychlorinated biphenyl degradation mechanism and the recharacterization of the strain SK-3 as a Cupriavidus species.
The RDP Classifier is a widely used bioinformatic program that performs taxonomic classification of 16S rRNA gene sequences. However, the accuracy of the program is not clear when it is applied to common PCR products of the 16S rRNA variable regions, which are heavily used in microbiome projects. In this study, fulllength 16S rRNA gene alignments from the(More)
We report here the 6.97-Mb draft genome sequence of Pseudomonas fluorescens strain NCIMB 11764, which is capable of growth on cyanide as the sole nitrogen source. The draft genome sequence allowed the discovery of several genes implicated in enzymatic cyanide turnover and provided additional information contributing to a better understanding of this(More)
Cupriavidus sp. strain SK-4 is a bacterium capable of growing aerobically on monochlorobiphenyls and dichlorobiphenyls as the sole carbon sources for growth. Here, we report its draft genome sequence with the aim of facilitating an understanding of polychlorinated biphenyl biodegradation mechanisms.
Cyanide is a potent poison that can be found naturally in some environments, and released as a waste in human activities. Cyanide waste is indeed a public health and an environmental concern. Its removal is an important issue, which has been addressed by chemical-physical methods or by alternatives such as bioremediation, which utilize organisms that can(More)
We report here the draft genome sequence of a Bacillus bacterium isolated from the microflora of Nostoc colonies grown at the Andean wetlands in northern Chile. We consider this genome sequence to be a molecular tool for exploring microbial relationships and adaptation strategies to the prevailing extreme conditions at the Atacama Desert.
illustrations, 75 numbered references. Clustering techniques are important for gene expression data analysis. However, efficient computational algorithms for clustering time-series data are still lacking. This work documents two improvements on an existing profile-based greedy algorithm for short time-series data; the first one is implementation of a(More)
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