Copy number estimation for Bacillus anthracis plasmids pXO1 and pXO2.

Slides:



Advertisements
Similar presentations
© 2010 Pearson Prentice Hall. All rights reserved Regression Interval Estimates.
Advertisements

Review for Exam 2 (Ch.6,7,8,12) Ch. 6 Sampling Distribution
Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.
Chapter 9 Correlational Research Designs. Correlation Acceptable terminology for the pattern of data in a correlation: *Correlation between variables.
Confidence Intervals for a Population Mean, Standard Deviation Unknown.
Pearson’s Correlation The Pearson correlation coefficient is the most widely used for summarizing the relation ship between two variables that have a straight.
Chapter 11 Linear Regression and Correlation. Explanatory and Response Variables are Numeric Relationship between the mean of the response variable and.
Model validation and prediction
Inference in Simple Linear Regression
F - Ratio Table Degrees of Freedom for the Factor
ERVmap reveals additional breast cancer-associated ERVs that correlate with cytolytic activity. ERVmap reveals additional breast cancer-associated ERVs.
Wei-Hsiang Lin, Edo Kussell  Current Biology 
T test.
Chapter 17 – Simple Linear Regression and Correlation
H3K4me3 pattern association with functionally relevant genes and changes over time. H3K4me3 pattern association with functionally relevant genes and changes.
Fig. 5. Correlation between CD34+CD45RA−CD90+ cell dose, engraftment success, and onset of neutrophil/platelet recovery in nonhuman primates. Correlation.
Exam 4/19 40 – 50 questions 1.5 hours long
18F-FDG uptake is a noninvasive biomarker of combined MEK–mTORC1 inhibition. 18F-FDG uptake is a noninvasive biomarker of combined MEK–mTORC1 inhibition.
by Chuan-Chao Wang, Qi-Liang Ding, Huan Tao, and Hui Li
A prospectively validated csEN model accurately predicts dynamic changes of the maternal immune system over the course of pregnancy. A prospectively validated.
Mark J. Costello, Chhaya Chaudhary  Current Biology 
Changes in archaeal diversity during great ape diversification.
The greatest blessing in life is
Fig. 5. Correlation of tail and long bone growth velocities with Cxm serum concentrations in mice. Correlation of tail and long bone growth velocities.
Characterization of promoters relative to pAGA1
Genetic Determinants of the Gut Microbiome in UK Twins
Validation of some ePTL candidates.
Correlation between abundances of butyrate-forming pathways (A), of terminal enzymes linked to the acetyl-CoA pathway (B), and of all individual taxa harboring.
Lack of phylogenetic conservatism of Bacillus anthracis plasmid copy number. Lack of phylogenetic conservatism of Bacillus anthracis plasmid copy number.
Volume 14, Issue 7, Pages (February 2016)
Simulated growth rates as a function of altered biomass compositions.
Elysse C. Filipe et al. BTS 2018;3:38-53
Distributions of pairwise correlation coefficients from cooccurrence models computed from temporal data (fecal) and spatial data (biopsy samples; means.
miRNA target pathways correlated with CRC-associated bacteria.
Gene-wise Tajima’s D values and gene lengths.
Bacteria significantly correlated with DE miRNAs.
Volume 24, Issue 6, Pages (August 2018)
Diego Calderon, Anand Bhaskar, David A
Multilayered cooccurrence network analysis of OTUs that exhibited a significant positive Spearman’s correlation with oxalate consumption at the end of.
Semblance of Heterogeneity in Collective Cell Migration
Dose values for 45 patient scans with use of the high-quality protocol
Unit 5 Quiz: Review questions
(Upper) Blind-to-controls generalization performance: prediction accuracies observed when the classifier was trained on the auditory trials from the blind.
RNA abundance correlates with fitness.
Gut microbiota components influenced by AXOS intake.
Figure 2 Correlation between wGRS and age at onset The figure shows the correlation between weighted genetic risk score (wGRS) and age at onset in all.
Gene content comparison between B. anthracis pXO1/pXO2 and B
In vivo tracking of PD-L1+NCMs in the microcirculation.
Comparison of Nonpareil Nd sequence diversity and 16S rRNA gene OTU Shannon H′ taxonomic diversity indices on 90 metagenomes. Comparison of Nonpareil Nd.
Business Statistics - QBM117
Assessment of plasmid lateral transfer between representative B
CD25+ proliferation and suppression are independent functional variables in type 1 diabetes. CD25+ proliferation and suppression are independent functional.
EEG-based classification accuracy for across- and within-expression discrimination of facial identity with temporally cumulative data (50–650 ms after.
Christian Madelaire et al. JCHF 2018;6:
Heatmap showing Spearman’s rho values for significant correlations between weed abundances and bacterial classes (i.e., OTU data pooled at the class level;
Vav proteins are required for cytoplasmic `nuclei exclusion zones' in mature enterocytes. Vav proteins are required for cytoplasmic `nuclei exclusion zones'
Khadijah Breathett et al. JCHF 2017;5:
Effects of paclitaxel and vinblastine.
ANI, dDDH, and CGASI correlation analysis.
A–d) Bland–Altman plots of absolute differences between tremoFlo at 5 and 7 Hz versus the mean of the two measurements in resistance R and reactance X.
Analysis of individual full cells.
Landscape of the TME in gastric cancer and characteristics of TME subtypes. Landscape of the TME in gastric cancer and characteristics of TME subtypes.
Fig. 2 Results of the learning and testing phases.
Genomic characterization of Bacillus cereus sensu lato group.
Glissandi propagate from foot to foot in the CA1 to CA3 direction.
Correlations between APOBEC expression and immune cell markers across 22 cancer types. Correlations between APOBEC expression and immune cell markers across.
Correlation between journal impact factor and percentage of papers with image duplication. Correlation between journal impact factor and percentage of.
Fig. 3 The relationships between air temperature, atmospheric circulation, AISMR, and CESCF for the periods 1967–1990 and 1991–2015. The relationships.
Medication intensity (ALLP) changes between baseline and 6 months, by (not) being low-density lipoprotein-cholesterol (LDL-C) target at baseline for nurse-coordinated.
Presentation transcript:

Copy number estimation for Bacillus anthracis plasmids pXO1 and pXO2. Copy number estimation for Bacillus anthracis plasmids pXO1 and pXO2. (A) Plasmid copy number distribution calculated for strains carrying one or both plasmids. B. anthracis cells maintain an estimated average of 3.86 copies of plasmid pXO1 and 2.29 copies of plasmid pXO2, indicating a general pattern where the copy number of pXO1 is nearly twice (1.68×) that of pXO2. (B) Correlation analysis of pXO1 and pXO2 estimated copy numbers showed a high degree of linear positive correlation (Pearson’s r = 0.68, Spearman’s ρ = 0.62). The red line indicates the estimated linear regression model, and the dashed blue lines depict the upper and lower confidence intervals at 95%. Angela Pena-Gonzalez et al. mSystems 2018; doi:10.1128/mSystems.00065-18