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A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma.

American journal of human genetics

Landi MT, Chatterjee N, Yu K, Goldin LR, Goldstein AM, Rotunno M, Mirabello L, Jacobs K, Wheeler W, Yeager M, Bergen AW, Li Q, Consonni D, Pesatori AC, Wacholder S, Thun M, Diver R, Oken M, Virtamo J, Albanes D, Wang Z, Burdette L, Doheny KF, Pugh EW, Laurie C, Brennan P, Hung R, Gaborieau V, McKay JD, Lathrop M, McLaughlin J, Wang Y, Tsao MS, Spitz MR, Wang Y, Krokan H, Vatten L, Skorpen F, Arnesen E, Benhamou S, Bouchard C, Metspalu A, Vooder T, Nelis M, Välk K, Field JK, Chen C, Goodman G, Sulem P, Thorleifsson G, Rafnar T, Eisen T, Sauter W, Rosenberger A, Bickeböller H, Risch A, Chang-Claude J, Wichmann HE, Stefansson K, Houlston R, Amos CI, Fraumeni JF, Savage SA, Bertazzi PA, Tucker MA, Chanock S, Caporaso NE.
PMID: 28472664
Am J Hum Genet. 2011 Jun 10;88(6):861. doi: 10.1016/j.ajhg.2011.05.003. Epub 2011 Jun 10.

No abstract available.

Cite
Landi MT, Chatterjee N, Yu K, et al. A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. Am J Hum Genet. 2011;88(6):861doi: 10.1016/j.ajhg.2011.05.003.
Landi, M. T., Chatterjee, N., Yu, K., Goldin, L. R., Goldstein, A. M., Rotunno, M., Mirabello, L., Jacobs, K., Wheeler, W., Yeager, M., Bergen, A. W., Li, Q., Consonni, D., Pesatori, A. C., Wacholder, S., Thun, M., Diver, R., Oken, M., Virtamo, J., Albanes, D., Wang, Z., Burdette, L., Doheny, K. F., Pugh, E. W., Laurie, C., Brennan, P., Hung, R., Gaborieau, V., McKay, J. D., Lathrop, M., McLaughlin, J., Wang, Y., Tsao, M. S., Spitz, M. R., Wang, Y., Krokan, H., Vatten, L., Skorpen, F., Arnesen, E., Benhamou, S., Bouchard, C., Metspalu, A., Vooder, T., Nelis, M., Välk, K., Field, J. K., Chen, C., Goodman, G., Sulem, P., Thorleifsson, G., Rafnar, T., Eisen, T., Sauter, W., Rosenberger, A., Bickeböller, H., Risch, A., Chang-Claude, J., Wichmann, H. E., Stefansson, K., Houlston, R., Amos, C. I., Fraumeni, J. F., Savage, S. A., Bertazzi, P. A., Tucker, M. A., Chanock, S., & Caporaso, N. E. (2011). A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. American journal of human genetics, 88(6), 861. https://doi.org/10.1016/j.ajhg.2011.05.003
Landi, Maria Teresa, et al. "A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma." American journal of human genetics vol. 88,6 (2011): 861. doi: https://doi.org/10.1016/j.ajhg.2011.05.003
Landi MT, Chatterjee N, Yu K, Goldin LR, Goldstein AM, Rotunno M, Mirabello L, Jacobs K, Wheeler W, Yeager M, Bergen AW, Li Q, Consonni D, Pesatori AC, Wacholder S, Thun M, Diver R, Oken M, Virtamo J, Albanes D, Wang Z, Burdette L, Doheny KF, Pugh EW, Laurie C, Brennan P, Hung R, Gaborieau V, McKay JD, Lathrop M, McLaughlin J, Wang Y, Tsao MS, Spitz MR, Wang Y, Krokan H, Vatten L, Skorpen F, Arnesen E, Benhamou S, Bouchard C, Metspalu A, Vooder T, Nelis M, Välk K, Field JK, Chen C, Goodman G, Sulem P, Thorleifsson G, Rafnar T, Eisen T, Sauter W, Rosenberger A, Bickeböller H, Risch A, Chang-Claude J, Wichmann HE, Stefansson K, Houlston R, Amos CI, Fraumeni JF, Savage SA, Bertazzi PA, Tucker MA, Chanock S, Caporaso NE. A Genome-wide Association Study of Lung Cancer Identifies a Region of Chromosome 5p15 Associated with Risk for Adenocarcinoma. Am J Hum Genet. 2011 Jun 10;88(6):861. doi: 10.1016/j.ajhg.2011.05.003. Epub 2011 Jun 10. PMID: 28472664; PMCID: PMC3113243.
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Corrigendum: Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer.

Nature genetics

Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva MN, Broderick P, Zong X, Laplana M, Wei Y, Han Y, Lloyd A, Delahaye-Sourdeix M, Chubb D, Gaborieau V, Wheeler W, Chatterjee N, Thorleifsson G, Sulem P, Liu G, Kaaks R, Henrion M, Kinnersley B, Vallée M, Le Calvez-Kelm F, Stevens VL, Gapstur SM, Chen WV, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Krokan HE, Gabrielsen ME, Skorpen F, Vatten L, Njølstad I, Chen C, Goodman G, Benhamou S, Vooder T, Välk K, Nelis M, Metspalu A, Lener M, Lubiński J, Johansson M, Vineis P, Agudo A, Clavel-Chapelon F, Bueno-de-Mesquita HB, Trichopoulos D, Khaw KT, Johansson M, Weiderpass E, Tjønneland A, Riboli E, Lathrop M, Scelo G, Albanes D, Caporaso NE, Ye Y, Gu J, Wu X, Spitz MR, Dienemann H, Rosenberger A, Su L, Matakidou A, Eisen T, Stefansson K, Risch A, Chanock SJ, Christiani DC, Hung RJ, Brennan P, Landi MT, Houlston RS, Amos CI.
PMID: 28358128
Nat Genet. 2017 Mar 30;49(4):651. doi: 10.1038/ng0417-651a.

No abstract available.

Cite
Wang Y, McKay JD, Rafnar T, et al. Corrigendum: Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet. 2017;49(4):651doi: 10.1038/ng0417-651a.
Wang, Y., McKay, J. D., Rafnar, T., Wang, Z., Timofeeva, M. N., Broderick, P., Zong, X., Laplana, M., Wei, Y., Han, Y., Lloyd, A., Delahaye-Sourdeix, M., Chubb, D., Gaborieau, V., Wheeler, W., Chatterjee, N., Thorleifsson, G., Sulem, P., Liu, G., Kaaks, R., Henrion, M., Kinnersley, B., Vallée, M., Le Calvez-Kelm, F., Stevens, V. L., Gapstur, S. M., Chen, W. V., Zaridze, D., Szeszenia-Dabrowska, N., Lissowska, J., Rudnai, P., Fabianova, E., Mates, D., Bencko, V., Foretova, L., Janout, V., Krokan, H. E., Gabrielsen, M. E., Skorpen, F., Vatten, L., Njølstad, I., Chen, C., Goodman, G., Benhamou, S., Vooder, T., Välk, K., Nelis, M., Metspalu, A., Lener, M., Lubiński, J., Johansson, M., Vineis, P., Agudo, A., Clavel-Chapelon, F., Bueno-de-Mesquita, H. B., Trichopoulos, D., Khaw, K. T., Johansson, M., Weiderpass, E., Tjønneland, A., Riboli, E., Lathrop, M., Scelo, G., Albanes, D., Caporaso, N. E., Ye, Y., Gu, J., Wu, X., Spitz, M. R., Dienemann, H., Rosenberger, A., Su, L., Matakidou, A., Eisen, T., Stefansson, K., Risch, A., Chanock, S. J., Christiani, D. C., Hung, R. J., Brennan, P., Landi, M. T., Houlston, R. S., & Amos, C. I. (2017). Corrigendum: Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nature genetics, 49(4), 651. https://doi.org/10.1038/ng0417-651a
Wang, Yufei, et al. "Corrigendum: Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer." Nature genetics vol. 49,4 (2017): 651. doi: https://doi.org/10.1038/ng0417-651a
Wang Y, McKay JD, Rafnar T, Wang Z, Timofeeva MN, Broderick P, Zong X, Laplana M, Wei Y, Han Y, Lloyd A, Delahaye-Sourdeix M, Chubb D, Gaborieau V, Wheeler W, Chatterjee N, Thorleifsson G, Sulem P, Liu G, Kaaks R, Henrion M, Kinnersley B, Vallée M, Le Calvez-Kelm F, Stevens VL, Gapstur SM, Chen WV, Zaridze D, Szeszenia-Dabrowska N, Lissowska J, Rudnai P, Fabianova E, Mates D, Bencko V, Foretova L, Janout V, Krokan HE, Gabrielsen ME, Skorpen F, Vatten L, Njølstad I, Chen C, Goodman G, Benhamou S, Vooder T, Välk K, Nelis M, Metspalu A, Lener M, Lubiński J, Johansson M, Vineis P, Agudo A, Clavel-Chapelon F, Bueno-de-Mesquita HB, Trichopoulos D, Khaw KT, Johansson M, Weiderpass E, Tjønneland A, Riboli E, Lathrop M, Scelo G, Albanes D, Caporaso NE, Ye Y, Gu J, Wu X, Spitz MR, Dienemann H, Rosenberger A, Su L, Matakidou A, Eisen T, Stefansson K, Risch A, Chanock SJ, Christiani DC, Hung RJ, Brennan P, Landi MT, Houlston RS, Amos CI. Corrigendum: Rare variants of large effect in BRCA2 and CHEK2 affect risk of lung cancer. Nat Genet. 2017 Mar 30;49(4):651. doi: 10.1038/ng0417-651a. PMID: 28358128.
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Efficient mechanochemical synthesis of regioselective persubstituted cyclodextrins.

Beilstein journal of organic chemistry

Jicsinszky L, Caporaso M, Martina K, Calcio Gaudino E, Cravotto G.
PMID: 28144304
Beilstein J Org Chem. 2016 Nov 10;12:2364-2371. doi: 10.3762/bjoc.12.230. eCollection 2016.

A number of per-6-substituted cyclodextrin derivative syntheses have been effectively carried out in a planetary ball mill under solvent-free conditions. The preparation of Bridion

Cite
Jicsinszky L, Caporaso M, Martina K, et al. Efficient mechanochemical synthesis of regioselective persubstituted cyclodextrins. Beilstein J Org Chem. 2016;12:2364-2371doi: 10.3762/bjoc.12.230.
Jicsinszky, L., Caporaso, M., Martina, K., Calcio Gaudino, E., & Cravotto, G. (2016). Efficient mechanochemical synthesis of regioselective persubstituted cyclodextrins. Beilstein journal of organic chemistry, 122364-2371. https://doi.org/10.3762/bjoc.12.230
Jicsinszky, Laszlo, et al. "Efficient mechanochemical synthesis of regioselective persubstituted cyclodextrins." Beilstein journal of organic chemistry vol. 12 (2016): 2364-2371. doi: https://doi.org/10.3762/bjoc.12.230
Jicsinszky L, Caporaso M, Martina K, Calcio Gaudino E, Cravotto G. Efficient mechanochemical synthesis of regioselective persubstituted cyclodextrins. Beilstein J Org Chem. 2016 Nov 10;12:2364-2371. doi: 10.3762/bjoc.12.230. eCollection 2016. PMID: 28144304; PMCID: PMC5238617.
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Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity.

Microbiome

He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, Edgar RC, Kopylova E, Walters WA, Knight R, Zhou HW.
PMID: 25995836
Microbiome. 2015 May 20;3:20. doi: 10.1186/s40168-015-0081-x. eCollection 2015.

BACKGROUND: The operational taxonomic unit (OTU) is widely used in microbial ecology. Reproducibility in microbial ecology research depends on the reliability of OTU-based 16S ribosomal subunit RNA (rRNA) analyses.RESULTS: Here, we report that many hierarchical and greedy clustering methods...

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He Y, Caporaso JG, Jiang XT, et al. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015;3:20doi: 10.1186/s40168-015-0081-x.
He, Y., Caporaso, J. G., Jiang, X. T., Sheng, H. F., Huse, S. M., Rideout, J. R., Edgar, R. C., Kopylova, E., Walters, W. A., Knight, R., & Zhou, H. W. (2015). Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome, 320. https://doi.org/10.1186/s40168-015-0081-x
He, Yan, et al. "Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity." Microbiome vol. 3 (2015): 20. doi: https://doi.org/10.1186/s40168-015-0081-x
He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, Edgar RC, Kopylova E, Walters WA, Knight R, Zhou HW. Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015 May 20;3:20. doi: 10.1186/s40168-015-0081-x. eCollection 2015. PMID: 25995836; PMCID: PMC4438525.
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Radical trideuteromethylation with deuterated dimethyl sulfoxide in the synthesis of heterocycles and labelled building blocks.

Chemical communications (Cambridge, England)

Caporaso R, Manna S, Zinken S, Kochnev AR, Lukyanenko ER, Kurkin AV, Antonchick AP.
PMID: 27711354
Chem Commun (Camb). 2016 Oct 13;52(84):12486-12489. doi: 10.1039/c6cc07196a.

The potential of deuterated pharmaceuticals is being widely demonstrated. Here we describe the first trideuteromethylation under radical reaction conditions using deuterated dimethyl sulfoxide as a reagent for the synthesis of labelled heterocycles and trideuteromethylated compounds. A broad scope of...

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Caporaso R, Manna S, Zinken S, et al. Radical trideuteromethylation with deuterated dimethyl sulfoxide in the synthesis of heterocycles and labelled building blocks. Chem Commun (Camb). 2016;52(84):12486-12489doi: 10.1039/c6cc07196a.
Caporaso, R., Manna, S., Zinken, S., Kochnev, A. R., Lukyanenko, E. R., Kurkin, A. V., & Antonchick, A. P. (2016). Radical trideuteromethylation with deuterated dimethyl sulfoxide in the synthesis of heterocycles and labelled building blocks. Chemical communications (Cambridge, England), 52(84), 12486-12489. https://doi.org/10.1039/c6cc07196a
Caporaso, Roberta, et al. "Radical trideuteromethylation with deuterated dimethyl sulfoxide in the synthesis of heterocycles and labelled building blocks." Chemical communications (Cambridge, England) vol. 52,84 (2016): 12486-12489. doi: https://doi.org/10.1039/c6cc07196a
Caporaso R, Manna S, Zinken S, Kochnev AR, Lukyanenko ER, Kurkin AV, Antonchick AP. Radical trideuteromethylation with deuterated dimethyl sulfoxide in the synthesis of heterocycles and labelled building blocks. Chem Commun (Camb). 2016 Oct 13;52(84):12486-12489. doi: 10.1039/c6cc07196a. PMID: 27711354.
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Robust Cross-Linked Stereocomplexes and C60 Inclusion Complexes of Vinyl-Functionalized Stereoregular Polymers Derived from Chemo/Stereoselective Coordination Polymerization.

Journal of the American Chemical Society

Vidal F, Falivene L, Caporaso L, Cavallo L, Chen EY.
PMID: 27388024
J Am Chem Soc. 2016 Aug 03;138(30):9533-47. doi: 10.1021/jacs.6b04064. Epub 2016 Jul 19.

The successful synthesis of highly syndiotactic polar vinyl polymers bearing the reactive pendant vinyl group on each repeat unit, which is enabled by perfectly chemoselective and highly syndiospecific coordination polymerization of divinyl polar monomers developed through this work, has...

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Vidal F, Falivene L, Caporaso L, et al. Robust Cross-Linked Stereocomplexes and C60 Inclusion Complexes of Vinyl-Functionalized Stereoregular Polymers Derived from Chemo/Stereoselective Coordination Polymerization. J Am Chem Soc. 2016;138(30):9533-47doi: 10.1021/jacs.6b04064.
Vidal, F., Falivene, L., Caporaso, L., Cavallo, L., & Chen, E. Y. (2016). Robust Cross-Linked Stereocomplexes and C60 Inclusion Complexes of Vinyl-Functionalized Stereoregular Polymers Derived from Chemo/Stereoselective Coordination Polymerization. Journal of the American Chemical Society, 138(30), 9533-47. https://doi.org/10.1021/jacs.6b04064
Vidal, Fernando, et al. "Robust Cross-Linked Stereocomplexes and C60 Inclusion Complexes of Vinyl-Functionalized Stereoregular Polymers Derived from Chemo/Stereoselective Coordination Polymerization." Journal of the American Chemical Society vol. 138,30 (2016): 9533-47. doi: https://doi.org/10.1021/jacs.6b04064
Vidal F, Falivene L, Caporaso L, Cavallo L, Chen EY. Robust Cross-Linked Stereocomplexes and C60 Inclusion Complexes of Vinyl-Functionalized Stereoregular Polymers Derived from Chemo/Stereoselective Coordination Polymerization. J Am Chem Soc. 2016 Aug 03;138(30):9533-47. doi: 10.1021/jacs.6b04064. Epub 2016 Jul 19. PMID: 27388024.
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Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity.

Microbiome

He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, Edgar RC, Kopylova E, Walters WA, Knight R, Zhou HW.
PMID: 26229598
Microbiome. 2015 Jul 31;3:34. doi: 10.1186/s40168-015-0098-1. eCollection 2015.

[This corrects the article DOI: 10.1186/s40168-015-0081-x.].

Cite
He Y, Caporaso JG, Jiang XT, et al. Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015;3:34doi: 10.1186/s40168-015-0098-1.
He, Y., Caporaso, J. G., Jiang, X. T., Sheng, H. F., Huse, S. M., Rideout, J. R., Edgar, R. C., Kopylova, E., Walters, W. A., Knight, R., & Zhou, H. W. (2015). Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome, 334. https://doi.org/10.1186/s40168-015-0098-1
He, Yan, et al. "Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity." Microbiome vol. 3 (2015): 34. doi: https://doi.org/10.1186/s40168-015-0098-1
He Y, Caporaso JG, Jiang XT, Sheng HF, Huse SM, Rideout JR, Edgar RC, Kopylova E, Walters WA, Knight R, Zhou HW. Erratum to: Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity. Microbiome. 2015 Jul 31;3:34. doi: 10.1186/s40168-015-0098-1. eCollection 2015. PMID: 26229598; PMCID: PMC4520016.
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Vibrotactile feedback for brain-computer interface operation.

Computational intelligence and neuroscience

Cincotti F, Kauhanen L, Aloise F, Palomäki T, Caporusso N, Jylänki P, Mattia D, Babiloni F, Vanacker G, Nuttin M, Marciani MG, Del R Millán J.
PMID: 18354734
Comput Intell Neurosci. 2007;48937. doi: 10.1155/2007/48937.

To be correctly mastered, brain-computer interfaces (BCIs) need an uninterrupted flow of feedback to the user. This feedback is usually delivered through the visual channel. Our aim was to explore the benefits of vibrotactile feedback during users' training and...

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Cincotti F, Kauhanen L, Aloise F, et al. Vibrotactile feedback for brain-computer interface operation. Comput Intell Neurosci. 2007;48937doi: 10.1155/2007/48937.
Cincotti, F., Kauhanen, L., Aloise, F., Palomäki, T., Caporusso, N., Jylänki, P., Mattia, D., Babiloni, F., Vanacker, G., Nuttin, M., Marciani, M. G., & Del R Millán, J. (2007). Vibrotactile feedback for brain-computer interface operation. Computational intelligence and neuroscience, 48937. https://doi.org/10.1155/2007/48937
Cincotti, Febo, et al. "Vibrotactile feedback for brain-computer interface operation." Computational intelligence and neuroscience vol. (2007): 48937. doi: https://doi.org/10.1155/2007/48937
Cincotti F, Kauhanen L, Aloise F, Palomäki T, Caporusso N, Jylänki P, Mattia D, Babiloni F, Vanacker G, Nuttin M, Marciani MG, Del R Millán J. Vibrotactile feedback for brain-computer interface operation. Comput Intell Neurosci. 2007;48937. doi: 10.1155/2007/48937. PMID: 18354734; PMCID: PMC2267023.
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Non-coding RNAs change their expression profile after Retinoid induced differentiation of the promyelocytic cell line NB4.

BMC research notes

Rossi A, D'Urso OF, Gatto G, Poltronieri P, Ferracin M, Remondelli P, Negrini M, Caporaso MG, Bonatti S, Mallardo M.
PMID: 20181027
BMC Res Notes. 2010 Jan 27;3:24. doi: 10.1186/1756-0500-3-24.

BACKGROUND: The importance of non-coding RNAs (ncRNAs) as fine regulators of eukaryotic gene expression has emerged by several studies focusing on microRNAs (miRNAs). miRNAs represent a newly discovered family of non coding-RNAs. They are thought to be crucial players...

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Rossi A, D'Urso OF, Gatto G, et al. Non-coding RNAs change their expression profile after Retinoid induced differentiation of the promyelocytic cell line NB4. BMC Res Notes. 2010;3:24doi: 10.1186/1756-0500-3-24.
Rossi, A., D'Urso, O. F., Gatto, G., Poltronieri, P., Ferracin, M., Remondelli, P., Negrini, M., Caporaso, M. G., Bonatti, S., & Mallardo, M. (2010). Non-coding RNAs change their expression profile after Retinoid induced differentiation of the promyelocytic cell line NB4. BMC research notes, 324. https://doi.org/10.1186/1756-0500-3-24
Rossi, Annalisa, et al. "Non-coding RNAs change their expression profile after Retinoid induced differentiation of the promyelocytic cell line NB4." BMC research notes vol. 3 (2010): 24. doi: https://doi.org/10.1186/1756-0500-3-24
Rossi A, D'Urso OF, Gatto G, Poltronieri P, Ferracin M, Remondelli P, Negrini M, Caporaso MG, Bonatti S, Mallardo M. Non-coding RNAs change their expression profile after Retinoid induced differentiation of the promyelocytic cell line NB4. BMC Res Notes. 2010 Jan 27;3:24. doi: 10.1186/1756-0500-3-24. PMID: 20181027; PMCID: PMC2843733.
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Collaborative cloud-enabled tools allow rapid, reproducible biological insights.

The ISME journal

Ragan-Kelley B, Walters WA, McDonald D, Riley J, Granger BE, Gonzalez A, Knight R, Perez F, Caporaso JG.
PMID: 23096404
ISME J. 2013 Mar;7(3):461-4. doi: 10.1038/ismej.2012.123. Epub 2012 Oct 25.

No abstract available.

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Ragan-Kelley B, Walters WA, McDonald D, et al. Collaborative cloud-enabled tools allow rapid, reproducible biological insights. ISME J. 2012;7(3):461-4doi: 10.1038/ismej.2012.123.
Ragan-Kelley, B., Walters, W. A., McDonald, D., Riley, J., Granger, B. E., Gonzalez, A., Knight, R., Perez, F., & Caporaso, J. G. (2013). Collaborative cloud-enabled tools allow rapid, reproducible biological insights. The ISME journal, 7(3), 461-4. https://doi.org/10.1038/ismej.2012.123
Ragan-Kelley, Benjamin, et al. "Collaborative cloud-enabled tools allow rapid, reproducible biological insights." The ISME journal vol. 7,3 (2013): 461-4. doi: https://doi.org/10.1038/ismej.2012.123
Ragan-Kelley B, Walters WA, McDonald D, Riley J, Granger BE, Gonzalez A, Knight R, Perez F, Caporaso JG. Collaborative cloud-enabled tools allow rapid, reproducible biological insights. ISME J. 2013 Mar;7(3):461-4. doi: 10.1038/ismej.2012.123. Epub 2012 Oct 25. PMID: 23096404; PMCID: PMC3578576.
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Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Nature biotechnology

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-Rodríguez 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, Vázquez-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.
PMID: 31341288
Nat Biotechnol. 2019 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9.

No abstract available.

Cite
Bolyen E, Rideout JR, Dillon MR, et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019;37(8):852-857doi: 10.1038/s41587-019-0209-9.
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., Bai, Y., Bisanz, J. E., Bittinger, K., Brejnrod, A., Brislawn, C. J., Brown, C. T., Callahan, B. J., Caraballo-Rodríguez, A. M., Chase, J., Cope, E. K., Da Silva, R., Diener, C., Dorrestein, P. C., Douglas, G. M., Durall, D. M., Duvallet, C., Edwardson, C. F., Ernst, M., Estaki, M., Fouquier, J., Gauglitz, J. M., Gibbons, S. M., Gibson, D. L., Gonzalez, A., Gorlick, K., Guo, J., Hillmann, B., Holmes, S., Holste, H., Huttenhower, C., Huttley, G. A., Janssen, S., Jarmusch, A. K., Jiang, L., Kaehler, B. D., Kang, K. B., Keefe, C. R., Keim, P., Kelley, S. T., Knights, D., Koester, I., Kosciolek, T., Kreps, J., Langille, M. G. I., Lee, J., Ley, R., Liu, Y. X., Loftfield, E., Lozupone, C., Maher, M., Marotz, C., Martin, B. D., McDonald, D., McIver, L. J., Melnik, A. V., Metcalf, J. L., Morgan, S. C., Morton, J. T., Naimey, A. T., Navas-Molina, J. A., Nothias, L. F., Orchanian, S. B., Pearson, T., Peoples, S. L., Petras, D., Preuss, M. L., Pruesse, E., Rasmussen, L. B., Rivers, A., Robeson, M. S., Rosenthal, P., Segata, N., Shaffer, M., Shiffer, A., Sinha, R., Song, S. J., Spear, J. R., Swafford, A. D., Thompson, L. R., Torres, P. J., Trinh, P., Tripathi, A., Turnbaugh, P. J., Ul-Hasan, S., van der Hooft, J. J. J., Vargas, F., Vázquez-Baeza, Y., Vogtmann, E., von Hippel, M., Walters, W., Wan, Y., Wang, M., Warren, J., Weber, K. C., Williamson, C. H. D., Willis, A. D., Xu, Z. Z., Zaneveld, J. R., Zhang, Y., Zhu, Q., Knight, R., & Caporaso, J. G. (2019). Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature biotechnology, 37(8), 852-857. https://doi.org/10.1038/s41587-019-0209-9
Bolyen, Evan, et al. "Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2." Nature biotechnology vol. 37,8 (2019): 852-857. doi: https://doi.org/10.1038/s41587-019-0209-9
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-Rodríguez 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, Vázquez-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 Aug;37(8):852-857. doi: 10.1038/s41587-019-0209-9. PMID: 31341288; PMCID: PMC7015180.
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Qiita: rapid, web-enabled microbiome meta-analysis.

Nature methods

Gonzalez A, Navas-Molina JA, Kosciolek T, McDonald D, Vázquez-Baeza Y, Ackermann G, DeReus J, Janssen S, Swafford AD, Orchanian SB, Sanders JG, Shorenstein J, Holste H, Petrus S, Robbins-Pianka A, Brislawn CJ, Wang M, Rideout JR, Bolyen E, Dillon M, Caporaso JG, Dorrestein PC, Knight R.
PMID: 30275573
Nat Methods. 2018 Oct;15(10):796-798. doi: 10.1038/s41592-018-0141-9. Epub 2018 Oct 01.

Multi-omic insights into microbiome function and composition typically advance one study at a time. However, in order for relationships across studies to be fully understood, data must be aggregated into meta-analyses. This makes it possible to generate new hypotheses...

Cite
Gonzalez A, Navas-Molina JA, Kosciolek T, et al. Qiita: rapid, web-enabled microbiome meta-analysis. Nat Methods. 2018;15(10):796-798doi: 10.1038/s41592-018-0141-9.
Gonzalez, A., Navas-Molina, J. A., Kosciolek, T., McDonald, D., Vázquez-Baeza, Y., Ackermann, G., DeReus, J., Janssen, S., Swafford, A. D., Orchanian, S. B., Sanders, J. G., Shorenstein, J., Holste, H., Petrus, S., Robbins-Pianka, A., Brislawn, C. J., Wang, M., Rideout, J. R., Bolyen, E., Dillon, M., Caporaso, J. G., Dorrestein, P. C., & Knight, R. (2018). Qiita: rapid, web-enabled microbiome meta-analysis. Nature methods, 15(10), 796-798. https://doi.org/10.1038/s41592-018-0141-9
Gonzalez, Antonio, et al. "Qiita: rapid, web-enabled microbiome meta-analysis." Nature methods vol. 15,10 (2018): 796-798. doi: https://doi.org/10.1038/s41592-018-0141-9
Gonzalez A, Navas-Molina JA, Kosciolek T, McDonald D, Vázquez-Baeza Y, Ackermann G, DeReus J, Janssen S, Swafford AD, Orchanian SB, Sanders JG, Shorenstein J, Holste H, Petrus S, Robbins-Pianka A, Brislawn CJ, Wang M, Rideout JR, Bolyen E, Dillon M, Caporaso JG, Dorrestein PC, Knight R. Qiita: rapid, web-enabled microbiome meta-analysis. Nat Methods. 2018 Oct;15(10):796-798. doi: 10.1038/s41592-018-0141-9. Epub 2018 Oct 01. PMID: 30275573; PMCID: PMC6235622.
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