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Connection

Scott Kelley to Computational Biology

This is a "connection" page, showing publications Scott Kelley has written about Computational Biology.
Connection Strength

0.600
  1. Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, Alexander H, Alm EJ, Arumugam M, Asnicar F, Bai Y, Bisanz JE, Bittinger K, Brejnrod A, Brislawn CJ, Brown CT, Callahan BJ, Caraballo-Rodr?guez AM, Chase J, Cope EK, Da Silva R, Diener C, Dorrestein PC, Douglas GM, Durall DM, Duvallet C, Edwardson CF, Ernst M, Estaki M, Fouquier J, Gauglitz JM, Gibbons SM, Gibson DL, Gonzalez A, Gorlick K, Guo J, Hillmann B, Holmes S, Holste H, Huttenhower C, Huttley GA, Janssen S, Jarmusch AK, Jiang L, Kaehler BD, Kang KB, Keefe CR, Keim P, Kelley ST, Knights D, Koester I, Kosciolek T, Kreps J, Langille MGI, Lee J, Ley R, Liu YX, Loftfield E, Lozupone C, Maher M, Marotz C, Martin BD, McDonald D, McIver LJ, Melnik AV, Metcalf JL, Morgan SC, Morton JT, Naimey AT, Navas-Molina JA, Nothias LF, Orchanian SB, Pearson T, Peoples SL, Petras D, Preuss ML, Pruesse E, Rasmussen LB, Rivers A, Robeson MS, Rosenthal P, Segata N, Shaffer M, Shiffer A, Sinha R, Song SJ, Spear JR, Swafford AD, Thompson LR, Torres PJ, Trinh P, Tripathi A, Turnbaugh PJ, Ul-Hasan S, van der Hooft JJJ, Vargas F, V?zquez-Baeza Y, Vogtmann E, von Hippel M, Walters W, Wan Y, Wang M, Warren J, Weber KC, Williamson CHD, Willis AD, Xu ZZ, Zaneveld JR, Zhang Y, Zhu Q, Knight R, Caporaso JG. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019 08; 37(8):852-857.
    View in: PubMed
    Score: 0.151
  2. Fouquier J, Rideout JR, Bolyen E, Chase J, Shiffer A, McDonald D, Knight R, Caporaso JG, Kelley ST. Ghost-tree: creating hybrid-gene phylogenetic trees for diversity analyses. Microbiome. 2016 Feb 24; 4:11.
    View in: PubMed
    Score: 0.119
  3. Knights D, Kuczynski J, Charlson ES, Zaneveld J, Mozer MC, Collman RG, Bushman FD, Knight R, Kelley ST. Bayesian community-wide culture-independent microbial source tracking. Nat Methods. 2011 Jul 17; 8(9):761-3.
    View in: PubMed
    Score: 0.086
  4. Turner JL, Kelley ST, Otto JS, Valafar F, Bohonak AJ. Parallelization and optimization of genetic analyses in isolation by distance web service. BMC Genet. 2009 Jun 19; 10:28.
    View in: PubMed
    Score: 0.075
  5. Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative beta diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol. 2007 Mar; 73(5):1576-85.
    View in: PubMed
    Score: 0.063
  6. Prussin AJ, Belser JA, Bischoff W, Kelley ST, Lin K, Lindsley WG, Nshimyimana JP, Schuit M, Wu Z, Bibby K, Marr LC. Viruses in the Built Environment (VIBE) meeting report. Microbiome. 2020 01 04; 8(1):1.
    View in: PubMed
    Score: 0.039
  7. Abubucker S, Segata N, Goll J, Schubert AM, Izard J, Cantarel BL, Rodriguez-Mueller B, Zucker J, Thiagarajan M, Henrissat B, White O, Kelley ST, Meth? B, Schloss PD, Gevers D, Mitreva M, Huttenhower C. Metabolic reconstruction for metagenomic data and its application to the human microbiome. PLoS Comput Biol. 2012; 8(6):e1002358.
    View in: PubMed
    Score: 0.023
  8. Desnues C, Rodriguez-Brito B, Rayhawk S, Kelley S, Tran T, Haynes M, Liu H, Furlan M, Wegley L, Chau B, Ruan Y, Hall D, Angly FE, Edwards RA, Li L, Thurber RV, Reid RP, Siefert J, Souza V, Valentine DL, Swan BK, Breitbart M, Rohwer F. Biodiversity and biogeography of phages in modern stromatolites and thrombolites. Nature. 2008 Mar 20; 452(7185):340-3.
    View in: PubMed
    Score: 0.017
  9. Marquez SM, Harris JK, Kelley ST, Brown JW, Dawson SC, Roberts EC, Pace NR. Structural implications of novel diversity in eucaryal RNase P RNA. RNA. 2005 May; 11(5):739-51.
    View in: PubMed
    Score: 0.014
  10. Angenent LT, Kelley ST, St Amand A, Pace NR, Hernandez MT. Molecular identification of potential pathogens in water and air of a hospital therapy pool. Proc Natl Acad Sci U S A. 2005 Mar 29; 102(13):4860-5.
    View in: PubMed
    Score: 0.014
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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