Graphical representation of pairwise correlations between pathogen abundance in CCD and non-CCD colonies.

Pairwise correlations between infection-related quantities, between infection-related quantities and temperature area under the curve, and between infection-related quantities and symptom score area under the curve.

Carolin Vegvari (516405)
Christoforos Hadjichrysanthou (3159321)
Emilie Cauët (2533993)
Emma Lawrence (265291)
Anne Cori (260622)
Frank de Wolf (89583)
Roy M. Anderson (230318)

July 2016

Correlations that are significant using the Bonferroni correction for multiple comparisons are in...

Correlation of CRISPR counts and pathogenic categories.

Enriqueta García-Gutiérrez (764496)
Cristóbal Almendros (118861)
Francisco J. M. Mojica (118872)
Noemí M. Guzmán (118863)
Jesús García-Martínez (118869)

July 2015

Graphical representation of the number of CRISPR repeats in strains categorized as commensal (CEC...

CCA scaling ordination bi-plot.

Sharon Okanga (518925)
Graeme S. Cumming (144075)
Philip A. R. Hockey (455694)
Lisa Nupen (518926)
Jeffrey L. Peters (182801)

February 2014

Displayed are weighted correlations between Plasmodium/Haemoproteus clades (indicat...

Correlations of pathogen abundance within different colony types.

R. Scott Cornman (141477)
David R. Tarpy (141482)
Yanping Chen (141488)
Lacey Jeffreys (141494)
Dawn Lopez (141501)
Jeffery S. Pettis (141507)
Dennis vanEngelsdorp (141515)
Jay D. Evans (60553)

August 2012

The number of colonies for each category is shown in parentheses. Sympatric non-CCD colonies are ...

Correlation between Log10 parasite abundance and colony size for 148 individuals from 25 colonies of known size (RS = −0.263, p = 0.002).

Heike Lutermann (291983)
Nigel C. Bennett (153769)
John R. Speakman (380055)
Michael Scantlebury (293749)

February 2013

Correlation between Log10 parasite abundance and colony size for 148 individuals from ...

Correlation between recombination landscapes estimated at two different genomic scales (1Mb and 100kb).

Thomas Brazier (13531893)
Sylvain Glémin (18118)

August 2022

Spearman’s Rho coefficient was estimated for each chromosome between recombination rates estimated d...

Comparison of correlation values show minimal acceptable coverage levels for invitrosome experiments.

Colton E. Kempton (610194)
Justin R. Heninger (610195)
Steven M. Johnson (17357)

August 2014

5A Range of correlation values at each coverage level for the pair-wise comparisons of the...

Network of statistical correlations between inflammatory mediators and microbiota.

Gregory Spear (106115)
Kristina Rothaeulser (106119)
Linda Fritts (106123)
Patrick M. Gillevet (106128)
Christopher J. Miller (106133)

December 2012

After unbiased analysis of potential associations between host gene mRNA levels and bacterial DNA...

Graph visualising significant Spearman correlations (based on 10.000 random permutations) between fungi and beetles in the Hainich data.

Andreas Floren (524948)
Dirk Krüger (29622)
Tobias Müller (163591)
Marcus Dittrich (167737)
Renate Rudloff (830124)
Björn Hoppe (520647)
Karl Eduard Linsenmair (830125)

November 2015

Solid lines represent positive correlations while dotted lines denote negative correlations. Fung...

Correlation analysis.

Monica Vera-Lise Tulstrup (839158)
Ellen Gerd Christensen (839159)
Vera Carvalho (839160)
Caroline Linninge (839161)
Siv Ahrné (5652364)
Ole Højberg (500226)
Tine Rask Licht (75895)
Martin Iain Bahl (839162)

December 2015

(A) Spearman correlation between succinate and the relative abundance of Clostridiaceae 1 ...

Spearman’s rank correlation between occupant intensity (Nd) and combined relative abundance of selected group of genera and Shannon diversity index values.

Irvan Luhung (831809)
Yan Wu (70890)
Siyu Xu (800404)
Naomichi Yamamoto (170240)
Victor Wei-Chung Chang (831812)
William W. Nazaroff (170236)

October 2017

The left frames showcase the correlations of bacteria and the right frames are for fungi. The sym...

Correlations with disease progression.

Rajesh Balagam (135557)
Vasantika Singh (377066)
Aparna Raju Sagi (357615)
Narendra M. Dixit (135562)

February 2013

Correlation of (A) Ne and (B) τ with the disease progression time, or the time ...

Graphical representation of significant pathogen correlations.

Jorgen Ravoet (301199)
Jafar Maharramov (350594)
Ivan Meeus (450273)
Lina De Smet (301198)
Tom Wenseleers (217350)
Guy Smagghe (170171)
Dirk C. de Graaf (217346)

August 2013

LSV complex is significantly associated with BQCV (p = 0.009) (A and B), VdMLV with...

Graphical representation of interaction patterns.

Menno R. van den Bergh (126655)
Giske Biesbroek (104538)
John W. A. Rossen (126663)
Wouter A. A. de Steenhuijsen Piters (126668)
Astrid A. T. M. Bosch (104535)
Elske J. M. van Gils (126674)
Xinhui Wang (126681)
Chantal W. B. Boonacker (126684)
Reinier H. Veenhoven (126687)
Jacob P. Bruin (126691)
Debby Bogaert (23222)
Elisabeth A. M. Sanders (104551)

October 2012

Visualization of the partial correlations between bacteria and viruses (A) and epidemiologic driv...

Correlogram representing spearman’s correlation coefficient rank between environmental parameters and abundances of microbial and of N cycling genes.

Huanhuan Wang (309941)
Xu Li (23864)
Xiang Li (114679)
Xinyu Li (568185)
Jian Wang (5901)
Huiwen Zhang (346646)

December 2017

The correlation coefficients ranging from negative to positive are indicated by color intensity c...

Pairwise correlations between infection-related quantities, between infection-related quantities and temperature area under the curve, and between infection-related quantities and symptom score area under the curve.

Carolin Vegvari (516405)
Christoforos Hadjichrysanthou (3159321)
Emilie Cauët (2533993)
Emma Lawrence (265291)
Anne Cori (260622)
Frank de Wolf (89583)
Roy M. Anderson (230318)

July 2016

Correlations that are significant using the Bonferroni correction for multiple comparisons are in...

Correlation of CRISPR counts and pathogenic categories.

Enriqueta García-Gutiérrez (764496)
Cristóbal Almendros (118861)
Francisco J. M. Mojica (118872)
Noemí M. Guzmán (118863)
Jesús García-Martínez (118869)

July 2015

Graphical representation of the number of CRISPR repeats in strains categorized as commensal (CEC...

CCA scaling ordination bi-plot.

Sharon Okanga (518925)
Graeme S. Cumming (144075)
Philip A. R. Hockey (455694)
Lisa Nupen (518926)
Jeffrey L. Peters (182801)

February 2014

Displayed are weighted correlations between Plasmodium/Haemoproteus clades (indicat...

Correlations of pathogen abundance within different colony types.

R. Scott Cornman (141477)
David R. Tarpy (141482)
Yanping Chen (141488)
Lacey Jeffreys (141494)
Dawn Lopez (141501)
Jeffery S. Pettis (141507)
Dennis vanEngelsdorp (141515)
Jay D. Evans (60553)

August 2012

The number of colonies for each category is shown in parentheses. Sympatric non-CCD colonies are ...

Correlation between Log10 parasite abundance and colony size for 148 individuals from 25 colonies of known size (RS = −0.263, p = 0.002).

Heike Lutermann (291983)
Nigel C. Bennett (153769)
John R. Speakman (380055)
Michael Scantlebury (293749)

February 2013

Correlation between Log10 parasite abundance and colony size for 148 individuals from ...

Correlation between recombination landscapes estimated at two different genomic scales (1Mb and 100kb).

Thomas Brazier (13531893)
Sylvain Glémin (18118)

August 2022

Spearman’s Rho coefficient was estimated for each chromosome between recombination rates estimated d...

Comparison of correlation values show minimal acceptable coverage levels for invitrosome experiments.

Colton E. Kempton (610194)
Justin R. Heninger (610195)
Steven M. Johnson (17357)

August 2014

5A Range of correlation values at each coverage level for the pair-wise comparisons of the...

Network of statistical correlations between inflammatory mediators and microbiota.

Gregory Spear (106115)
Kristina Rothaeulser (106119)
Linda Fritts (106123)
Patrick M. Gillevet (106128)
Christopher J. Miller (106133)

December 2012

After unbiased analysis of potential associations between host gene mRNA levels and bacterial DNA...

Graph visualising significant Spearman correlations (based on 10.000 random permutations) between fungi and beetles in the Hainich data.

Andreas Floren (524948)
Dirk Krüger (29622)
Tobias Müller (163591)
Marcus Dittrich (167737)
Renate Rudloff (830124)
Björn Hoppe (520647)
Karl Eduard Linsenmair (830125)

November 2015

Solid lines represent positive correlations while dotted lines denote negative correlations. Fung...

Correlation analysis.

Monica Vera-Lise Tulstrup (839158)
Ellen Gerd Christensen (839159)
Vera Carvalho (839160)
Caroline Linninge (839161)
Siv Ahrné (5652364)
Ole Højberg (500226)
Tine Rask Licht (75895)
Martin Iain Bahl (839162)

December 2015

(A) Spearman correlation between succinate and the relative abundance of Clostridiaceae 1 ...

Spearman’s rank correlation between occupant intensity (Nd) and combined relative abundance of selected group of genera and Shannon diversity index values.

Irvan Luhung (831809)
Yan Wu (70890)
Siyu Xu (800404)
Naomichi Yamamoto (170240)
Victor Wei-Chung Chang (831812)
William W. Nazaroff (170236)

October 2017

The left frames showcase the correlations of bacteria and the right frames are for fungi. The sym...

Correlations with disease progression.

Rajesh Balagam (135557)
Vasantika Singh (377066)
Aparna Raju Sagi (357615)
Narendra M. Dixit (135562)

February 2013

Correlation of (A) Ne and (B) τ with the disease progression time, or the time ...

Graphical representation of significant pathogen correlations.

Jorgen Ravoet (301199)
Jafar Maharramov (350594)
Ivan Meeus (450273)
Lina De Smet (301198)
Tom Wenseleers (217350)
Guy Smagghe (170171)
Dirk C. de Graaf (217346)

August 2013

LSV complex is significantly associated with BQCV (p = 0.009) (A and B), VdMLV with...

Graphical representation of interaction patterns.

Menno R. van den Bergh (126655)
Giske Biesbroek (104538)
John W. A. Rossen (126663)
Wouter A. A. de Steenhuijsen Piters (126668)
Astrid A. T. M. Bosch (104535)
Elske J. M. van Gils (126674)
Xinhui Wang (126681)
Chantal W. B. Boonacker (126684)
Reinier H. Veenhoven (126687)
Jacob P. Bruin (126691)
Debby Bogaert (23222)
Elisabeth A. M. Sanders (104551)

October 2012

Visualization of the partial correlations between bacteria and viruses (A) and epidemiologic driv...

Correlogram representing spearman’s correlation coefficient rank between environmental parameters and abundances of microbial and of N cycling genes.

Huanhuan Wang (309941)
Xu Li (23864)
Xiang Li (114679)
Xinyu Li (568185)
Jian Wang (5901)
Huiwen Zhang (346646)

December 2017

The correlation coefficients ranging from negative to positive are indicated by color intensity c...

Pairwise correlations between infection-related quantities, between infection-related quantities and temperature area under the curve, and between infection-related quantities and symptom score area under the curve.

Carolin Vegvari (516405)
Christoforos Hadjichrysanthou (3159321)
Emilie Cauët (2533993)
Emma Lawrence (265291)
Anne Cori (260622)
Frank de Wolf (89583)
Roy M. Anderson (230318)

July 2016

Correlations that are significant using the Bonferroni correction for multiple comparisons are in...

Correlation of CRISPR counts and pathogenic categories.

Enriqueta García-Gutiérrez (764496)
Cristóbal Almendros (118861)
Francisco J. M. Mojica (118872)
Noemí M. Guzmán (118863)
Jesús García-Martínez (118869)

July 2015

Graphical representation of the number of CRISPR repeats in strains categorized as commensal (CEC...

CCA scaling ordination bi-plot.

Sharon Okanga (518925)
Graeme S. Cumming (144075)
Philip A. R. Hockey (455694)
Lisa Nupen (518926)
Jeffrey L. Peters (182801)

February 2014

Displayed are weighted correlations between Plasmodium/Haemoproteus clades (indicat...

Graphical representation of pairwise correlations between pathogen abundance in CCD and non-CCD colonies.

Abstract

Extracted data

Graphical representation of pairwise correlations between pathogen abundance in CCD and non-CCD colonies.

Abstract

Extracted data

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