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      Complete genome sequences of microbacterium phages Tedro and BAjuniper

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          ABSTRACT

          We purified two novel bacteriophages from soil collected in Sioux County, Iowa: BAjuniper and Tedro. These bacteriophages were isolated from the host, Microbacterium foliorum. BAjuniper was assigned to cluster EB, and Tedro was assigned to cluster EF. Both phages display genomes typical of other phages in their clusters.

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          Most cited references21

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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              tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence.

              We describe a program, tRNAscan-SE, which identifies 99-100% of transfer RNA genes in DNA sequence while giving less than one false positive per 15 gigabases. Two previously described tRNA detection programs are used as fast, first-pass prefilters to identify candidate tRNAs, which are then analyzed by a highly selective tRNA covariance model. This work represents a practical application of RNA covariance models, which are general, probabilistic secondary structure profiles based on stochastic context-free grammars. tRNAscan-SE searches at approximately 30 000 bp/s. Additional extensions to tRNAscan-SE detect unusual tRNA homologues such as selenocysteine tRNAs, tRNA-derived repetitive elements and tRNA pseudogenes.
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                Author and article information

                Contributors
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                Role: InvestigationRole: Project administration
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – original draft
                Role: Editor
                Journal
                Microbiol Resour Announc
                Microbiol Resour Announc
                mra
                Microbiology Resource Announcements
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2576-098X
                November 2023
                31 October 2023
                31 October 2023
                : 12
                : 11
                : e00793-23
                Affiliations
                [1 ] Department of Biology, Northwestern College; , Orange City, Iowa, USA
                Department of Biology, Queens College; , New York, USA
                Author notes
                Address correspondence to Sara S. Tolsma, stolsma@ 123456nwciowa.edu

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0002-2687-4457
                Article
                00793-23 MRA.00793-23
                10.1128/MRA.00793-23
                10652889
                37905824
                071c9b8d-9fd5-4cc5-9e51-1e632186c0ef
                Copyright © 2023 Anderson et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 24 August 2023
                : 27 September 2023
                Page count
                supplementary-material: 0, authors: 25, Figures: 1, Tables: 1, References: 22, Pages: 4, Words: 1738
                Categories
                Genome Sequences
                bacteriophages, Bacteriophages
                Custom metadata
                November 2023

                bacteriophage,microbacterium phage
                bacteriophage, microbacterium phage

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