Academic literature on the topic 'Dada2 pipeline'
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Journal articles on the topic "Dada2 pipeline"
Nearing, Jacob T., Gavin M. Douglas, André M. Comeau, and Morgan G. I. Langille. "Denoising the Denoisers: an independent evaluation of microbiome sequence error-correction approaches." PeerJ 6 (August 8, 2018): e5364. http://dx.doi.org/10.7717/peerj.5364.
Full textJeske, Jan Torsten, and Claudia Gallert. "Microbiome Analysis via OTU and ASV-Based Pipelines—A Comparative Interpretation of Ecological Data in WWTP Systems." Bioengineering 9, no. 4 (March 29, 2022): 146. http://dx.doi.org/10.3390/bioengineering9040146.
Full textBergsten, Emma, Denis Mestivier, and Iradj Sobhani. "The Limits and Avoidance of Biases in Metagenomic Analyses of Human Fecal Microbiota." Microorganisms 8, no. 12 (December 9, 2020): 1954. http://dx.doi.org/10.3390/microorganisms8121954.
Full textThi Nhung, Doan, and Bui Van Ngoc. "Bioinformatic approaches for analysis of coral-associated bacteria using R programming language." Vietnam Journal of Biotechnology 18, no. 4 (May 24, 2021): 733–43. http://dx.doi.org/10.15625/1811-4989/18/4/15320.
Full textChiarello, Marlène, Mark McCauley, Sébastien Villéger, and Colin R. Jackson. "Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold." PLOS ONE 17, no. 2 (February 24, 2022): e0264443. http://dx.doi.org/10.1371/journal.pone.0264443.
Full textAnsorge, Rebecca, Giovanni Birolo, Stephen A. James, and Andrea Telatin. "Dadaist2: A Toolkit to Automate and Simplify Statistical Analysis and Plotting of Metabarcoding Experiments." International Journal of Molecular Sciences 22, no. 10 (May 18, 2021): 5309. http://dx.doi.org/10.3390/ijms22105309.
Full textHupfauf, Sebastian, Mohammad Etemadi, Marina Fernández-Delgado Juárez, María Gómez-Brandón, Heribert Insam, and Sabine Marie Podmirseg. "CoMA – an intuitive and user-friendly pipeline for amplicon-sequencing data analysis." PLOS ONE 15, no. 12 (December 2, 2020): e0243241. http://dx.doi.org/10.1371/journal.pone.0243241.
Full textLim, Kahui, Matthew Rolston, Samantha Barnum, Cara Wademan, and Harold Leverenz. "A biogeographic 16S rRNA survey of bacterial communities of ureolytic biomineralization from California public restrooms." PLOS ONE 17, no. 1 (January 14, 2022): e0262425. http://dx.doi.org/10.1371/journal.pone.0262425.
Full textYen, Sandi, Jethro Johnson, and Nicholas E. Ilott. "Streamlined processing and analysis of 16S rRNA amplicon sequencing data with OCMS_16S and OCMSlooksy." Wellcome Open Research 7 (February 23, 2022): 68. http://dx.doi.org/10.12688/wellcomeopenres.17632.1.
Full textMiaow, Katie, Donnabella Lacap-Bugler, and Hannah L. Buckley. "Identifying optimal bioinformatics protocols for aerosol microbial community data." PeerJ 9 (September 30, 2021): e12065. http://dx.doi.org/10.7717/peerj.12065.
Full textDissertations / Theses on the topic "Dada2 pipeline"
Myers, John Vincent. "An Exploratory Analysis of the DADA2 and uBiome Pipelines." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555603546669156.
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