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Items: 1 to 20 of 102

1.

Optimizing body fluid recognition from microbial taxonomic profiles.

Hanssen EN, Liland KH, Gill P, Snipen L.

Forensic Sci Int Genet. 2018 Nov;37:13-20. doi: 10.1016/j.fsigen.2018.07.012. Epub 2018 Jul 30.

PMID:
30071492
2.

Analyses of the stability and core taxonomic memberships of the human microbiome.

Li K, Bihan M, Methé BA.

PLoS One. 2013 May 6;8(5):e63139. doi: 10.1371/journal.pone.0063139. Print 2013.

3.

Body fluid prediction from microbial patterns for forensic application.

Hanssen EN, Avershina E, Rudi K, Gill P, Snipen L.

Forensic Sci Int Genet. 2017 Sep;30:10-17. doi: 10.1016/j.fsigen.2017.05.009. Epub 2017 Jun 1.

PMID:
28605650
4.

Species-level analysis of DNA sequence data from the NIH Human Microbiome Project.

Conlan S, Kong HH, Segre JA.

PLoS One. 2012;7(10):e47075. doi: 10.1371/journal.pone.0047075. Epub 2012 Oct 10.

5.

The gut mycobiome of the Human Microbiome Project healthy cohort.

Nash AK, Auchtung TA, Wong MC, Smith DP, Gesell JR, Ross MC, Stewart CJ, Metcalf GA, Muzny DM, Gibbs RA, Ajami NJ, Petrosino JF.

Microbiome. 2017 Nov 25;5(1):153. doi: 10.1186/s40168-017-0373-4.

6.

Evaluating the accuracy of amplicon-based microbiome computational pipelines on simulated human gut microbial communities.

Golob JL, Margolis E, Hoffman NG, Fredricks DN.

BMC Bioinformatics. 2017 May 30;18(1):283. doi: 10.1186/s12859-017-1690-0.

7.

Adjusting microbiome profiles for differences in microbial load by spike-in bacteria.

Stämmler F, Gläsner J, Hiergeist A, Holler E, Weber D, Oefner PJ, Gessner A, Spang R.

Microbiome. 2016 Jun 21;4(1):28. doi: 10.1186/s40168-016-0175-0.

8.

Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering.

Franzén O, Hu J, Bao X, Itzkowitz SH, Peter I, Bashir A.

Microbiome. 2015 Oct 5;3:43. doi: 10.1186/s40168-015-0105-6. Erratum in: Microbiome. 2015;3:57.

9.

Diversity and enterotype in gut bacterial community of adults in Taiwan.

Liang C, Tseng HC, Chen HM, Wang WC, Chiu CM, Chang JY, Lu KY, Weng SL, Chang TH, Chang CH, Weng CT, Wang HM, Huang HD.

BMC Genomics. 2017 Jan 25;18(Suppl 1):932. doi: 10.1186/s12864-016-3261-6.

10.

Analysis of the upper respiratory tract microbiotas as the source of the lung and gastric microbiotas in healthy individuals.

Bassis CM, Erb-Downward JR, Dickson RP, Freeman CM, Schmidt TM, Young VB, Beck JM, Curtis JL, Huffnagle GB.

MBio. 2015 Mar 3;6(2):e00037. doi: 10.1128/mBio.00037-15.

11.

TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution.

Rohwer RR, Hamilton JJ, Newton RJ, McMahon KD.

mSphere. 2018 Sep 5;3(5). pii: e00327-18. doi: 10.1128/mSphere.00327-18.

12.

Species-level classification of the vaginal microbiome.

Fettweis JM, Serrano MG, Sheth NU, Mayer CM, Glascock AL, Brooks JP, Jefferson KK; Vaginal Microbiome Consortium (additional members), Buck GA.

BMC Genomics. 2012;13 Suppl 8:S17. doi: 10.1186/1471-2164-13-S8-S17. Epub 2012 Dec 17.

13.

Evidence that the endometrial microbiota has an effect on implantation success or failure.

Moreno I, Codoñer FM, Vilella F, Valbuena D, Martinez-Blanch JF, Jimenez-Almazán J, Alonso R, Alamá P, Remohí J, Pellicer A, Ramon D, Simon C.

Am J Obstet Gynecol. 2016 Dec;215(6):684-703. doi: 10.1016/j.ajog.2016.09.075. Epub 2016 Oct 4.

PMID:
27717732
14.

Pyrosequencing the canine faecal microbiota: breadth and depth of biodiversity.

Hand D, Wallis C, Colyer A, Penn CW.

PLoS One. 2013;8(1):e53115. doi: 10.1371/journal.pone.0053115. Epub 2013 Jan 31.

15.

Evaluation of PacBio sequencing for full-length bacterial 16S rRNA gene classification.

Wagner J, Coupland P, Browne HP, Lawley TD, Francis SC, Parkhill J.

BMC Microbiol. 2016 Nov 14;16(1):274.

16.

Longitudinal study of the early-life fecal and nasal microbiotas of the domestic pig.

Slifierz MJ, Friendship RM, Weese JS.

BMC Microbiol. 2015 Sep 21;15(1):184. doi: 10.1186/s12866-015-0512-7.

17.

The NIH Human Microbiome Project.

NIH HMP Working Group, Peterson J, Garges S, Giovanni M, McInnes P, Wang L, Schloss JA, Bonazzi V, McEwen JE, Wetterstrand KA, Deal C, Baker CC, Di Francesco V, Howcroft TK, Karp RW, Lunsford RD, Wellington CR, Belachew T, Wright M, Giblin C, David H, Mills M, Salomon R, Mullins C, Akolkar B, Begg L, Davis C, Grandison L, Humble M, Khalsa J, Little AR, Peavy H, Pontzer C, Portnoy M, Sayre MH, Starke-Reed P, Zakhari S, Read J, Watson B, Guyer M.

Genome Res. 2009 Dec;19(12):2317-23. doi: 10.1101/gr.096651.109. Epub 2009 Oct 9.

18.

Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform.

Castelino M, Eyre S, Moat J, Fox G, Martin P, Ho P, Upton M, Barton A.

BMC Microbiol. 2017 Jan 21;17(1):23. doi: 10.1186/s12866-017-0927-4.

19.

An accurate and efficient experimental approach for characterization of the complex oral microbiota.

Zheng W, Tsompana M, Ruscitto A, Sharma A, Genco R, Sun Y, Buck MJ.

Microbiome. 2015 Oct 5;3:48. doi: 10.1186/s40168-015-0110-9.

20.

Microbial co-occurrence relationships in the human microbiome.

Faust K, Sathirapongsasuti JF, Izard J, Segata N, Gevers D, Raes J, Huttenhower C.

PLoS Comput Biol. 2012;8(7):e1002606. doi: 10.1371/journal.pcbi.1002606. Epub 2012 Jul 12.

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