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Connection

Michael Strong to High-Throughput Nucleotide Sequencing

This is a "connection" page, showing publications Michael Strong has written about High-Throughput Nucleotide Sequencing.

 
Connection Strength
 
 
 
0.770
 
  1. Strong MJ, Xu G, Morici L, Splinter Bon-Durant S, Baddoo M, Lin Z, Fewell C, Taylor CM, Flemington EK. Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples. PLoS Pathog. 2014 Nov; 10(11):e1004437.
    View in: PubMed
    Score: 0.336
  2. Hendrix J, Epperson LE, Durbin D, Honda JR, Strong M. Intraspecies plasmid and genomic variation of Mycobacterium kubicae revealed by the complete genome sequences of two clinical isolates. Microb Genom. 2021 01; 7(1).
    View in: PubMed
    Score: 0.128
  3. Dilliott AA, Farhan SMK, Ghani M, Sato C, Liang E, Zhang M, McIntyre AD, Cao H, Racacho L, Robinson JF, Strong MJ, Masellis M, Bulman DE, Rogaeva E, Lang A, Tartaglia C, Finger E, Zinman L, Turnbull J, Freedman M, Swartz R, Black SE, Hegele RA. Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease. J Vis Exp. 2018 04 04; (134).
    View in: PubMed
    Score: 0.106
  4. Cao S, Strong MJ, Wang X, Moss WN, Concha M, Lin Z, O'Grady T, Baddoo M, Fewell C, Renne R, Flemington EK. High-throughput RNA sequencing-based virome analysis of 50 lymphoma cell lines from the Cancer Cell Line Encyclopedia project. J Virol. 2015 Jan; 89(1):713-29.
    View in: PubMed
    Score: 0.084
  5. Xu G, Strong MJ, Lacey MR, Baribault C, Flemington EK, Taylor CM. RNA CoMPASS: a dual approach for pathogen and host transcriptome analysis of RNA-seq datasets. PLoS One. 2014; 9(2):e89445.
    View in: PubMed
    Score: 0.080
  6. Marin M, Vargas R, Harris M, Jeffrey B, Epperson LE, Durbin D, Strong M, Salfinger M, Iqbal Z, Akhundova I, Vashakidze S, Crudu V, Rosenthal A, Farhat MR. Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genome. Bioinformatics. 2022 03 28; 38(7):1781-1787.
    View in: PubMed
    Score: 0.035
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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