Examinando por Autor "Ortiz, Rodrigo"

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    Reclassification of ‘Thiobacillus prosperus’ Huber and Stetter 1989 as Acidihalobacter prosperus gen. nov., sp. nov., a member of the family Ectothiorhodospiraceae
    (Microbiology Society, 2015-10) Cárdenas, Juan Pablo; Ortiz, Rodrigo; Norris, Paul R.; Watkin, Elizabeth; Holmes, David S.
    Analysis of phylogenomic metrics of a recently released draft genome sequence of the halotolerant, acidophile ‘Thiobacillus prosperus’ DSM 5130 indicates that it is not a member of the genus Thiobacillus within the class Betaproteobacteria as originally proposed. Based on data from 16S rRNA gene phylogeny, and analyses of multiprotein phylogeny and average nucleotide identity (ANI), we show that it belongs to a new genus within the family Ectothiorhodospiraceae, for which we propose the name Acidihalobacter gen. nov. In accordance, it is proposed that ‘Thiobacillus prosperus’ DSM 5130 be named Acidihalobacter prosperus gen. nov., sp. nov. DSM 5130T (5JCM 30709T) and that it becomes the type strain of the type species of this genus. © 2015 IUMS.
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    SinEx DB: a database for single exon coding sequences in mammalian genomes
    (OXFORD UNIV PRESS, 2016-06) Jorquera, Roddy; Ortiz, Rodrigo; Ossandon, F.; Cardenas, Juan Pablo; Sepulveda, Rene; Gonzalez, Carolina; Holmes, David S.
    Eukaryotic genes are typically interrupted by intragenic, noncoding sequences termed introns. However, some genes lack introns in their coding sequence (CDS) and are generally known as 'single exon genes' (SEGs). In this work, a SEG is defined as a nuclear, protein-coding gene that lacks introns in its CDS. Whereas, many public databases of Eukaryotic multi-exon genes are available, there are only two specialized databases for SEGs. The present work addresses the need for a more extensive and diverse database by creating SinEx DB, a publicly available, searchable database of predicted SEGs from 10 completely sequenced mammalian genomes including human. SinEx DB houses the DNA and protein sequence information of these SEGs and includes their functional predictions (KOG) and the relative distribution of these functions within species. The information is stored in a relational database built with My SQL Server 5.1.33 and the complete dataset of SEG sequences and their functional predictions are available for downloading. SinEx DB can be interrogated by: (i) a browsable phylogenetic schema, (ii) carrying out BLAST searches to the in-house SinEx DB of SEGs and (iii) via an advanced search mode in which the database can be searched by key words and any combination of searches by species and predicted functions. SinEx DB provides a rich source of information for advancing our understanding of the evolution and function of SEGs.