-
1
-
-
84990855887
-
Metagenomics insights into food fermentations
-
De Filippis F, Parente E, Ercolini D. 2017. Metagenomics insights into food fermentations. Microb Biotechnol 10:91-102. https://doi.org/10.1111/1751-7915.12421.
-
(2017)
Microb Biotechnol
, vol.10
, pp. 91-102
-
-
De Filippis, F.1
Parente, E.2
Ercolini, D.3
-
2
-
-
84948397068
-
The importance of fungi and mycology for addressing major global challenges
-
Lange L. 2014. The importance of fungi and mycology for addressing major global challenges. IMA Fungus 5:463-471.
-
(2014)
IMA Fungus
, vol.5
, pp. 463-471
-
-
Lange, L.1
-
3
-
-
84966429483
-
Elucidating the role of effectors in plant-fungal interactions: progress and challenges
-
Selin C, de Kievit TR, Belmonte MF, Fernando WG. 2016. Elucidating the role of effectors in plant-fungal interactions: progress and challenges. Front Microbiol 7:600.
-
(2016)
Front Microbiol
, vol.7
, pp. 600
-
-
Selin, C.1
de Kievit, T.R.2
Belmonte, M.F.3
Fernando, W.G.4
-
4
-
-
84945124856
-
Impact of library preparation protocols and template quantity on the metagenomic reconstruction of a mock microbial community
-
Bowers RM, Clum A, Tice H, Lim J, Singh K, Ciobanu D, Ngan CY, Cheng JF, Tringe SG, Woyke T. 2015. Impact of library preparation protocols and template quantity on the metagenomic reconstruction of a mock microbial community. BMC Genomics 16:856. https://doi.org/10.1186/s12864-015-2063-6.
-
(2015)
BMC Genomics
, vol.16
, pp. 856
-
-
Bowers, R.M.1
Clum, A.2
Tice, H.3
Lim, J.4
Singh, K.5
Ciobanu, D.6
Ngan, C.Y.7
Cheng, J.F.8
Tringe, S.G.9
Woyke, T.10
-
5
-
-
84978286049
-
16S rRNA gene sequencing of mock microbial populations-impact of DNA extraction method, primer choice and sequencing platform
-
Fouhy F, Clooney AG, Stanton C, Claesson MJ, Cotter PD. 2016. 16S rRNA gene sequencing of mock microbial populations-impact of DNA extraction method, primer choice and sequencing platform. BMC Microbiol 16:123. https://doi.org/10.1186/s12866-016-0738-z.
-
(2016)
BMC Microbiol
, vol.16
, pp. 123
-
-
Fouhy, F.1
Clooney, A.G.2
Stanton, C.3
Claesson, M.J.4
Cotter, P.D.5
-
6
-
-
84901298344
-
Unraveling the outcome of 16S rDNA-based taxonomy analysis through mock data and simulations
-
May A, Abeln S, Crielaard W, Heringa J, Brandt BW. 2014. Unraveling the outcome of 16S rDNA-based taxonomy analysis through mock data and simulations. Bioinformatics 30:1530-1538. https://doi.org/10.1093/bioinformatics/btu085.
-
(2014)
Bioinformatics
, vol.30
, pp. 1530-1538
-
-
May, A.1
Abeln, S.2
Crielaard, W.3
Heringa, J.4
Brandt, B.W.5
-
7
-
-
84920714710
-
Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences
-
Rideout JR, He Y, Navas-Molina JA, Walters WA, Ursell LK, Gibbons SM, Chase J, McDonald D, Gonzalez A, Robbins-Pianka A, Clemente JC, Gilbert JA, Huse SM, Zhou HW, Knight R, Caporaso JG. 2014. Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences. PeerJ 2:e545. https://doi.org/10.7717/peerj.545.
-
(2014)
PeerJ
, vol.2
-
-
Rideout, J.R.1
He, Y.2
Navas-Molina, J.A.3
Walters, W.A.4
Ursell, L.K.5
Gibbons, S.M.6
Chase, J.7
McDonald, D.8
Gonzalez, A.9
Robbins-Pianka, A.10
Clemente, J.C.11
Gilbert, J.A.12
Huse, S.M.13
Zhou, H.W.14
Knight, R.15
Caporaso, J.G.16
-
8
-
-
84859972408
-
Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for fungi
-
Schoch CL, Seifert KA, Huhndorf S, Robert V, Spouge JL, Levesque CA, Chen W, Fungal Barcoding Consortium. 2012. Nuclear ribosomal internal transcribed spacer (ITS) region as a universal DNA barcode marker for fungi. Proc Natl Acad Sci U S A 109:6241-6246. https://doi.org/10.1073/pnas.1117018109.
-
(2012)
Proc Natl Acad Sci U S A
, vol.109
, pp. 6241-6246
-
-
Schoch, C.L.1
Seifert, K.A.2
Huhndorf, S.3
Robert, V.4
Spouge, J.L.5
Levesque, C.A.6
Chen, W.7
-
9
-
-
0032931479
-
Identification of yeasts by RFLP analysis of the 5.8S rRNA gene and the two ribosomal internal transcribed spacers
-
Esteve-Zarzoso B, Belloch C, Uruburu F, Querol A. 1999. Identification of yeasts by RFLP analysis of the 5.8S rRNA gene and the two ribosomal internal transcribed spacers. Int J Syst Bacteriol 49:329-337. https://doi.org/10.1099/00207713-49-1-329.
-
(1999)
Int J Syst Bacteriol
, vol.49
, pp. 329-337
-
-
Esteve-Zarzoso, B.1
Belloch, C.2
Uruburu, F.3
Querol, A.4
-
10
-
-
84877133975
-
High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology
-
Ercolini D. 2013. High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology. Appl Environ Microbiol 79:3148-3155. https://doi.org/10.1128/AEM.00256-13.
-
(2013)
Appl Environ Microbiol
, vol.79
, pp. 3148-3155
-
-
Ercolini, D.1
-
11
-
-
84946015800
-
Coexistence of lactic acid bacteria and potential spoilage microbiota in a dairy processing environment
-
Stellato G, De Filippis F, La Storia A, Ercolini D. 2015. Coexistence of lactic acid bacteria and potential spoilage microbiota in a dairy processing environment. Appl Environ Microbiol 81:7893-7904. https://doi.org/10.1128/AEM.02294-15.
-
(2015)
Appl Environ Microbiol
, vol.81
, pp. 7893-7904
-
-
Stellato, G.1
De Filippis, F.2
La Storia, A.3
Ercolini, D.4
-
12
-
-
84929314913
-
Bacteria and yeast microbiota in milk kefir grains from different Italian regions
-
Garofalo C, Osimani A, Milanovic V, Aquilanti L, De Filippis F, Stellato G, Di Mauro S, Turchetti B, Buzzini P, Ercolini D, Clementi F. 2015. Bacteria and yeast microbiota in milk kefir grains from different Italian regions. Food Microbiol 49:123-133. https://doi.org/10.1016/j.fm.2015.01.017.
-
(2015)
Food Microbiol
, vol.49
, pp. 123-133
-
-
Garofalo, C.1
Osimani, A.2
Milanovic, V.3
Aquilanti, L.4
De Filippis, F.5
Stellato, G.6
Di Mauro, S.7
Turchetti, B.8
Buzzini, P.9
Ercolini, D.10
Clementi, F.11
-
13
-
-
84946826731
-
Fungal diversity in grape must and wine fermentation assessed by massive sequencing, quantitative PCR and DGGE
-
Wang C, García-Fernández D, Mas A, Esteve-Zarzoso B. 2015. Fungal diversity in grape must and wine fermentation assessed by massive sequencing, quantitative PCR and DGGE. Front Microbiol 6:1156.
-
(2015)
Front Microbiol
, vol.6
, pp. 1156
-
-
Wang, C.1
García-Fernández, D.2
Mas, A.3
Esteve-Zarzoso, B.4
-
14
-
-
84988476555
-
Organic farming induces changes in soil microbiota that affect agro-ecosystem functions
-
Bonanomi G, De Filippis F, Cesarano G, La Storia A, Ercolini D, Scala F. 2016 Organic farming induces changes in soil microbiota that affect agro-ecosystem functions. Soil Biol Biochem 103:327-336. https://doi.org/10.1016/j.soilbio.2016.09.005.
-
(2016)
Soil Biol Biochem
, vol.103
, pp. 327-336
-
-
Bonanomi, G.1
De Filippis, F.2
Cesarano, G.3
La Storia, A.4
Ercolini, D.5
Scala, F.6
-
15
-
-
84900822670
-
High-throughput sequencing of amplicons for monitoring yeast biodiversity in must and during alcoholic fermentation
-
David V, Terrat S, Herzine K, Claisse O, Rousseaux S, Tourdot-Maréchal R, Masneuf-Pomarede I, Ranjard L, Alexandre H. 2014. High-throughput sequencing of amplicons for monitoring yeast biodiversity in must and during alcoholic fermentation. J Ind Microbiol Biotechnol 41:811-821. https://doi.org/10.1007/s10295-014-1427-2.
-
(2014)
J Ind Microbiol Biotechnol
, vol.41
, pp. 811-821
-
-
David, V.1
Terrat, S.2
Herzine, K.3
Claisse, O.4
Rousseaux, S.5
Tourdot-Maréchal, R.6
Masneuf-Pomarede, I.7
Ranjard, L.8
Alexandre, H.9
-
16
-
-
84996538539
-
Monitoring the mycobiota during Greco di Tufo and Aglianico wine fermentation by 18S rRNA gene sequencing
-
De Filippis F, La Storia A, Blaiotta G. 2017. Monitoring the mycobiota during Greco di Tufo and Aglianico wine fermentation by 18S rRNA gene sequencing. Food Microbiol 63:117-122. https://doi.org/10.1016/j.fm.2016.11.010.
-
(2017)
Food Microbiol
, vol.63
, pp. 117-122
-
-
De Filippis, F.1
La Storia, A.2
Blaiotta, G.3
-
17
-
-
84981725135
-
One fungus, which genes?. Development and assessment of universal primers for potential secondary fungal DNA barcodes
-
Stielow JB, Levesque CA, Seifert KA, Meyer W, Irinyi L, Smits D, Renfurm R, Verkley GJ, Groenewald M, Chaduli D, Lomascolo A, Welti S, Lesage-Meessen L, Favel A, Al-Hatmi AM, Damm U, Yilmaz N, Houbraken J, Lombard L, Quaedvlieg W, Binder M, Vaas LA, Vu D, Yurkov A, Begerow D, Roehl O, Guerreiro M, Fonseca A, Samerpitak K, van Diepeningen AD, Dolatabadi S, Moreno LF, Casaregola S, Mallet S, Jacques N, Roscini L, Egidi E, Bizet C, Garcia-Hermoso D, Martín MP, Deng S, Groenewald JZ, Boekhout T, de Beer ZW, Barnes I, Duong TA, Wingfield MJ, de Hoog GS, Crous PW, Lewis CT, Hambleton S, Moussa TA, Al-Zahrani HS, Almaghrabi OA, Louis-Seize G, Assabgui R, McCormick W, Omer G, Dukik K, Cardinali G, Eberhardt U, de Vries M, Robert V. 2015. One fungus, which genes? Development and assessment of universal primers for potential secondary fungal DNA barcodes. Persoonia 35:242-263.
-
(2015)
Persoonia
, vol.35
, pp. 242-263
-
-
Stielow, J.B.1
Levesque, C.A.2
Seifert, K.A.3
Meyer, W.4
Irinyi, L.5
Smits, D.6
Renfurm, R.7
Verkley, G.J.8
Groenewald, M.9
Chaduli, D.10
Lomascolo, A.11
Welti, S.12
Lesage-Meessen, L.13
Favel, A.14
Al-Hatmi, A.M.15
Damm, U.16
Yilmaz, N.17
Houbraken, J.18
Lombard, L.19
Quaedvlieg, W.20
Binder, M.21
Vaas, L.A.22
Vu, D.23
Yurkov, A.24
Begerow, D.25
Roehl, O.26
Guerreiro, M.27
Fonseca, A.28
Samerpitak, K.29
van Diepeningen, A.D.30
Dolatabadi, S.31
Moreno, L.F.32
Casaregola, S.33
Mallet, S.34
Jacques, N.35
Roscini, L.36
Egidi, E.37
Bizet, C.38
Garcia-Hermoso, D.39
Martín, M.P.40
Deng, S.41
Groenewald, J.Z.42
Boekhout, T.43
de Beer, Z.W.44
Barnes, I.45
Duong, T.A.46
Wingfield, M.J.47
de Hoog, G.S.48
Crous, P.W.49
Lewis, C.T.50
Hambleton, S.51
Moussa, T.A.52
Al-Zahrani, H.S.53
Almaghrabi, O.A.54
Louis-Seize, G.55
Assabgui, R.56
McCormick, W.57
Omer, G.58
Dukik, K.59
Cardinali, G.60
Eberhardt, U.61
de Vries, M.62
Robert, V.63
more..
-
18
-
-
84876187622
-
Improved selection of internal transcribed spacer-specific primers enables quantitative, ultrahigh-throughput profiling of fungal communities
-
Bokulich NA, Mills DA. 2013. Improved selection of internal transcribed spacer-specific primers enables quantitative, ultrahigh-throughput profiling of fungal communities. Appl Environ Microbiol 79:2519-2526. https://doi.org/10.1128/AEM.03870-12.
-
(2013)
Appl Environ Microbiol
, vol.79
, pp. 2519-2526
-
-
Bokulich, N.A.1
Mills, D.A.2
-
19
-
-
84878360700
-
Fungal community analysis by high-throughput sequencing of amplified markers-a user's guide
-
Lindahl BD, Nilsson RH, Tedersoo L, Abarenkov K, Carlsen T, Kjøller R, Kõljalg U, Pennanen T, Rosendahl S, Stenlid J, Kauserud H. 2013. Fungal community analysis by high-throughput sequencing of amplified markers-a user's guide. New Phytol 199:288-299. https://doi.org/10.1111/nph.12243.
-
(2013)
New Phytol
, vol.199
, pp. 288-299
-
-
Lindahl, B.D.1
Nilsson, R.H.2
Tedersoo, L.3
Abarenkov, K.4
Carlsen, T.5
Kjøller, R.6
Kõljalg, U.7
Pennanen, T.8
Rosendahl, S.9
Stenlid, J.10
Kauserud, H.11
-
20
-
-
84891933123
-
Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate
-
Bokulich NA, Thorngate JH, Richardson PM, Mills DA. 2014. Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate. Proc Natl Acad Sci U S A 111:E139-E148. https://doi.org/10.1073/pnas.1317377110.
-
(2014)
Proc Natl Acad Sci U S A
, vol.111
, pp. E139-E148
-
-
Bokulich, N.A.1
Thorngate, J.H.2
Richardson, P.M.3
Mills, D.A.4
-
21
-
-
84860483735
-
Nextgeneration sequencing reveals significant bacterial diversity of botrytized wine
-
Bokulich NA, Joseph CM, Allen G, Benson AK, Mills DA. 2012. Nextgeneration sequencing reveals significant bacterial diversity of botrytized wine. PLoS One 7:e36357. https://doi.org/10.1371/journal.pone.0036357.
-
(2012)
PLoS One
, vol.7
-
-
Bokulich, N.A.1
Joseph, C.M.2
Allen, G.3
Benson, A.K.4
Mills, D.A.5
-
22
-
-
77954336858
-
ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases
-
Bellemain E, Carlsen T, Brochmann C, Coissac E, Taberlet P, Kauserud H. 2010 ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases. BMC Microbiol 10:189. https://doi.org/10.1186/1471-2180-10-189.
-
(2010)
BMC Microbiol
, vol.10
, pp. 189
-
-
Bellemain, E.1
Carlsen, T.2
Brochmann, C.3
Coissac, E.4
Taberlet, P.5
Kauserud, H.6
-
23
-
-
0000432452
-
Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics
-
Innis MA, Gelfand DH, Sninsky JJ, White TJ (ed). Academic, San Diego, CA
-
White TJ, Bruns T, Lee S, Taylor JW. 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics, p 315-322. In Innis MA, Gelfand DH, Sninsky JJ, White TJ (ed), PCR protocols: a guide to methods and applications. Academic, San Diego, CA.
-
(1990)
PCR protocols: a guide to methods and applications
, pp. 315-322
-
-
White, T.J.1
Bruns, T.2
Lee, S.3
Taylor, J.W.4
-
24
-
-
84997284731
-
Accurate estimation of fungal diversity and abundance through improved lineage-specific primers optimized for Illumina amplicon sequencing
-
Taylor DL, Walters WA, Lennon NJ, Bochicchio J, Krohn A, Caporaso JG, Pennanen T. 2016. Accurate estimation of fungal diversity and abundance through improved lineage-specific primers optimized for Illumina amplicon sequencing. Appl Environ Microbiol 82:7217-7226. https://doi.org/10.1128/AEM.02576-16.
-
(2016)
Appl Environ Microbiol
, vol.82
, pp. 7217-7226
-
-
Taylor, D.L.1
Walters, W.A.2
Lennon, N.J.3
Bochicchio, J.4
Krohn, A.5
Caporaso, J.G.6
Pennanen, T.7
-
25
-
-
84899618891
-
Amplicon-based metagenomic analysis of mixed fungal samples using proton release amplicon sequencing
-
Tonge DP, Pashley CH, Gant TW. 2014. Amplicon-based metagenomic analysis of mixed fungal samples using proton release amplicon sequencing. PLoS One 9:e93849. https://doi.org/10.1371/journal.pone.0093849.
-
(2014)
PLoS One
, vol.9
-
-
Tonge, D.P.1
Pashley, C.H.2
Gant, T.W.3
-
26
-
-
79954506754
-
PrimerProspector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers
-
Walters WA, Caporaso JG, Lauber CL, Berg-Lyons D, Fierer N, Knight R. 2011 PrimerProspector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers. Bioinformatics 27: 1159-1161. https://doi.org/10.1093/bioinformatics/btr087.
-
(2011)
Bioinformatics
, vol.27
, pp. 1159-1161
-
-
Walters, W.A.1
Caporaso, J.G.2
Lauber, C.L.3
Berg-Lyons, D.4
Fierer, N.5
Knight, R.6
-
27
-
-
84873739311
-
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
-
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41: 590-596. https://doi.org/10.1093/nar/gks1219.
-
(2013)
Nucleic Acids Res
, vol.41
, pp. 590-596
-
-
Quast, C.1
Pruesse, E.2
Yilmaz, P.3
Gerken, J.4
Schweer, T.5
Yarza, P.6
Peplies, J.7
Glöckner, F.O.8
-
28
-
-
84886099720
-
Towards a unified paradigm for sequence-based identification of fungi
-
Kõljalg U, Nilsson RH, Abarenkov K, Tedersoo L, Taylor AF, Bahram M, Bates ST, Bruns TD, Bengtsson-Palme J, Callaghan TM, Douglas B, Drenkhan T, Eberhardt U, Dueñas M, Grebenc T, Griffith GW, Hartmann M, Kirk PM, Kohout P, Larsson E, Lindahl BD, Lücking R, Martín MP, Matheny PB, Nguyen NH, Niskanen T, Oja J, Peay KG, Peintner U, Peterson M, Põldmaa K, Saag L, Saar I, Schüßler A, Scott JA, Senés C, Smith ME, Suija A, Taylor DL, Telleria MT, Weiss M, Larsson KH. 2013. Towards a unified paradigm for sequence-based identification of fungi. Mol Ecol 22:5271-5277. https://doi.org/10.1111/mec.12481.
-
(2013)
Mol Ecol
, vol.22
, pp. 5271-5277
-
-
Kõljalg, U.1
Nilsson, R.H.2
Abarenkov, K.3
Tedersoo, L.4
Taylor, A.F.5
Bahram, M.6
Bates, S.T.7
Bruns, T.D.8
Bengtsson-Palme, J.9
Callaghan, T.M.10
Douglas, B.11
Drenkhan, T.12
Eberhardt, U.13
Dueñas, M.14
Grebenc, T.15
Griffith, G.W.16
Hartmann, M.17
Kirk, P.M.18
Kohout, P.19
Larsson, E.20
Lindahl, B.D.21
Lücking, R.22
Martín, M.P.23
Matheny, P.B.24
Nguyen, N.H.25
Niskanen, T.26
Oja, J.27
Peay, K.G.28
Peintner, U.29
Peterson, M.30
Põldmaa, K.31
Saag, L.32
Saar, I.33
Schüßler, A.34
Scott, J.A.35
Senés, C.36
Smith, M.E.37
Suija, A.38
Taylor, D.L.39
Telleria, M.T.40
Weiss, M.41
Larsson, K.H.42
more..
-
29
-
-
0031792246
-
Identification and phylogeny of ascomycetous yeasts from analysis of nuclear large subunit (26S) ribosomal DNA partial sequences
-
Kurtzman CP, Robnett CJ. 1998. Identification and phylogeny of ascomycetous yeasts from analysis of nuclear large subunit (26S) ribosomal DNA partial sequences. Antonie Van Leeuwenhoek 73:331-371. https://doi.org/10.1023/A:1001761008817.
-
(1998)
Antonie Van Leeuwenhoek
, vol.73
, pp. 331-371
-
-
Kurtzman, C.P.1
Robnett, C.J.2
-
30
-
-
84911413509
-
The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lactovegetarian and vegan individuals
-
De Filippis F, Vannini L, La Storia A, Laghi L, Piombino P, Stellato G, Serrazanetti DI, Gozzi G, Turroni S, Ferrocino I, Lazzi C, Di Cagno R, Gobbetti M, Ercolini D. 2014. The same microbiota and a potentially discriminant metabolome in the saliva of omnivore, ovo-lactovegetarian and vegan individuals. PLoS One 9:e112373.
-
(2014)
PLoS One
, vol.9
-
-
De Filippis, F.1
Vannini, L.2
La Storia, A.3
Laghi, L.4
Piombino, P.5
Stellato, G.6
Serrazanetti, D.I.7
Gozzi, G.8
Turroni, S.9
Ferrocino, I.10
Lazzi, C.11
Di Cagno, R.12
Gobbetti, M.13
Ercolini, D.14
-
31
-
-
84922753686
-
Whole-grain wheat consumption reduces inflammation in a randomized controlled trial on overweight and obese subjects with unhealthy dietary and lifestyle behaviors: role of polyphenols bound to cereal dietary fiber
-
2015
-
Vitaglione P, Mennella I, Ferracane R, Rivellese AA, Giacco R, Ercolini D, Gibbons SM, La Storia A, Gilbert JA, Jonnalagadda S, Thielecke F, Gallo MA, Scalfi L, Fogliano V. 2015. Whole-grain wheat consumption reduces inflammation in a randomized controlled trial on overweight and obese subjects with unhealthy dietary and lifestyle behaviors: role of polyphenols bound to cereal dietary fiber. Am J Clin Nutr 101:251-261, 2015. https://doi.org/10.3945/ajcn.114.088120.
-
(2015)
Am J Clin Nutr
, vol.101
, pp. 251-261
-
-
Vitaglione, P.1
Mennella, I.2
Ferracane, R.3
Rivellese, A.A.4
Giacco, R.5
Ercolini, D.6
Gibbons, S.M.7
La Storia, A.8
Gilbert, J.A.9
Jonnalagadda, S.10
Thielecke, F.11
Gallo, M.A.12
Scalfi, L.13
Fogliano, V.14
-
32
-
-
77952243141
-
QIIME allows analysis of high-throughput community sequencing data
-
Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI, Huttley GA, Kelley ST, Knights D, Koenig JE, Ley RE, Lozupone CA, McDonald D, Muegge BD, Pirrung M, Reeder J, Sevinsky JR, Turnbaugh PJ, Walters WA, Widmann J, Yatsunenko T, Zaneveld J, Knight R. 2010. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7:335-336. https://doi.org/10.1038/nmeth.f.303.
-
(2010)
Nat Methods
, vol.7
, pp. 335-336
-
-
Caporaso, J.G.1
Kuczynski, J.2
Stombaugh, J.3
Bittinger, K.4
Bushman, F.D.5
Costello, E.K.6
Fierer, N.7
Peña, A.G.8
Goodrich, J.K.9
Gordon, J.I.10
Huttley, G.A.11
Kelley, S.T.12
Knights, D.13
Koenig, J.E.14
Ley, R.E.15
Lozupone, C.A.16
McDonald, D.17
Muegge, B.D.18
Pirrung, M.19
Reeder, J.20
Sevinsky, J.R.21
Turnbaugh, P.J.22
Walters, W.A.23
Widmann, J.24
Yatsunenko, T.25
Zaneveld, J.26
Knight, R.27
more..
-
33
-
-
77956304094
-
Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions
-
Reeder J, Knight R. 2010. Rapidly denoising pyrosequencing amplicon reads by exploiting rank-abundance distributions. Nat Methods 7:668-669. https://doi.org/10.1038/nmeth0910-668b.
-
(2010)
Nat Methods
, vol.7
, pp. 668-669
-
-
Reeder, J.1
Knight, R.2
-
34
-
-
34548293679
-
Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy
-
Wang Q, Garrity GM, Tiedje JM, Cole JR. 2007. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol 73:5261-5267. https://doi.org/10.1128/AEM.00062-07.
-
(2007)
Appl Environ Microbiol
, vol.73
, pp. 5261-5267
-
-
Wang, Q.1
Garrity, G.M.2
Tiedje, J.M.3
Cole, J.R.4
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