Literature DB >> 30341398

Author Correction: Direct RNA Sequencing of the Coding Complete Influenza A Virus Genome.

Matthew W Keller1, Benjamin L Rambo-Martin2, Malania M Wilson2, Callie A Ridenour2, Samuel S Shepard3, Thomas J Stark3, Elizabeth B Neuhaus3, Vivien G Dugan3, David E Wentworth3, John R Barnes4.   

Abstract

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Entities:  

Year:  2018        PMID: 30341398      PMCID: PMC6195582          DOI: 10.1038/s41598-018-34067-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Correction to: Scientific Reports 10.1038/s41598-018-32615-8, published online 26 September 2018 In the original version of this Article, Matthew W. Keller and Benjamin L. Rambo-Martin were omitted as equally contributing authors. The original version of this Article also contained typographical errors. In the legend of Table 1 where: Influenza A/Florida/20/2018 (H1N1pdm09), A/Texas/50/2012 (H3N2), A/chicken Ghana/20/2017 (HPAI H5N1) and A/British Columbia/1/2015 (LPAI H7N9) viruses were used to demonstrate this method’s broad utility across contemporary influenza A viruses of current clinical significance”. now reads: Influenza A/Florida/20/2018 (H1N1pdm09), A/Texas/50/2012 (H3N2), A/chicken Ghana/20/2015 (HPAI H5N1) and A/British Columbia/1/2015 (LPAI H7N9) viruses were used to demonstrate this method’s broad utility across contemporary influenza A viruses of current clinical significance”. Additionally, in the Results section under subheading ‘Sequencing RNA from crude versus purified influenza rA/Puerto Rico/8/1934 (H1N1) virus’ where: “The read level accuracy was 86.3 ± 0.3%, and the consensus sequence was 98.97 ± 0.01% in concordance with consensus sequence generated using our standardized multi-segment reverse transcriptase polymerase chain reaction (M-RTPCR)15,16, Nextera, and MiSeq approach (Tables 2 and S3)”. now reads: “The read level accuracy was 86.2 ± 0.3%, and the consensus sequence was 98.97 ± 0.01% in concordance with consensus sequence generated using our standardized multi-segment reverse transcriptase polymerase chain reaction (M-RTPCR)15,16, Nextera, and MiSeq approach (Tables 2 and S3)”. These errors have now been corrected in the PDF and HTML versions of the paper.
  5 in total

Review 1.  Teaching an Old Virus New Tricks: A Review on New Approaches to Study Age-Old Questions in Influenza Biology.

Authors:  Seema S Lakdawala; Nara Lee; Christopher B Brooke
Journal:  J Mol Biol       Date:  2019-04-30       Impact factor: 5.469

2.  Improved detection of influenza A virus from blue-winged teals by sequencing directly from swab material.

Authors:  Lucas M Ferreri; Lucia Ortiz; Ginger Geiger; Gonzalo P Barriga; Rebecca Poulson; Ana Silvia Gonzalez-Reiche; Jo Anne Crum; David Stallknecht; David Moran; Celia Cordon-Rosales; Daniela Rajao; Daniel R Perez
Journal:  Ecol Evol       Date:  2019-05-11       Impact factor: 2.912

3.  Reading canonical and modified nucleobases in 16S ribosomal RNA using nanopore native RNA sequencing.

Authors:  Andrew M Smith; Miten Jain; Logan Mulroney; Daniel R Garalde; Mark Akeson
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

Review 4.  Applications of sequencing technology in clinical microbial infection.

Authors:  Xiaoling Yu; Wenqian Jiang; Yang Shi; Hanhui Ye; Jun Lin
Journal:  J Cell Mol Med       Date:  2019-09-02       Impact factor: 5.310

Review 5.  It's the Little Things (in Viral RNA).

Authors:  Jiří František Potužník; Hana Cahová
Journal:  mBio       Date:  2020-09-15       Impact factor: 7.867

  5 in total

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