Presentation is loading. Please wait.

Presentation is loading. Please wait.

Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of.

Published bySuhendra Sumadi Modified over 5 years ago

Similar presentations

Presentation on theme: "Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of."— Presentation transcript:

1 Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Red circles indicate number of genes annotated to each GO category in the whole genome or transcriptomes; black circles, number of WGD paralogs annotated to each GO category. Ellipses represent the 95% confidence interval of SD of point scores. Zheng Li et al. PNAS 2018;115:18: ©2018 by National Academy of Sciences

Download ppt "Principal component analysis of the GO category composition of all genes in each genome/transcriptome and WGD paralogs. Principal component analysis of."

Similar presentations

Comparison (θ) of the mean dinucleotide variability distribution for (A) genes with MAE vs. Comparison (θ) of the mean dinucleotide variability distribution.

Comparison (θ) of the mean dinucleotide variability distribution for (A) genes with MAE vs. Comparison (θ) of the mean dinucleotide variability distribution.
Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.

Comparison (R) of the mean observed to expected dinucleotide distribution for (A) genes with MAE vs. Comparison (R) of the mean observed to expected dinucleotide.
O. nubilalis damage and insecticide usage in Mid-Atlantic vegetable crops (1980–2017) and their relationship with Bt adoption. O. nubilalis damage and.

O. nubilalis damage and insecticide usage in Mid-Atlantic vegetable crops (1980–2017) and their relationship with Bt adoption. O. nubilalis damage and.
Trends in recommended insecticidal sprays to control O. nubilalis and H. zea in vegetable crops of Mid-Atlantic United States (1976–2016) and their association.

Trends in recommended insecticidal sprays to control O. nubilalis and H. zea in vegetable crops of Mid-Atlantic United States (1976–2016) and their association.
(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.

(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.
Distribution of mutations in different groups of genes, in cancer with extreme ML values. Distribution of mutations in different groups of genes, in cancer.

Distribution of mutations in different groups of genes, in cancer with extreme ML values. Distribution of mutations in different groups of genes, in cancer.
Evidence of adaptation to climate change.

Evidence of adaptation to climate change.
Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.

Schematic representation of possible effects of different factors on systemic resilience. Schematic representation of possible effects of different factors.
Pig iPSCs are reprogrammed differently and show genome-wide hypomethylation compared with mouse and human. Pig iPSCs are reprogrammed differently and show.

Pig iPSCs are reprogrammed differently and show genome-wide hypomethylation compared with mouse and human. Pig iPSCs are reprogrammed differently and show.
The evolution of WCI for biological specificity makes organisms more evolvable. The evolution of WCI for biological specificity makes organisms more evolvable.

The evolution of WCI for biological specificity makes organisms more evolvable. The evolution of WCI for biological specificity makes organisms more evolvable.
Network of Twitter interactions.

Network of Twitter interactions.
Placement of inferred ancient genome duplications on the phylogeny of Hexapoda. Placement of inferred ancient genome duplications on the phylogeny of Hexapoda.

Placement of inferred ancient genome duplications on the phylogeny of Hexapoda. Placement of inferred ancient genome duplications on the phylogeny of Hexapoda.
Genomic evidence of partial domestication in ancient Tehuacán maize.

Genomic evidence of partial domestication in ancient Tehuacán maize.
Representation of the evolutionary model.

Representation of the evolutionary model.
Bower building. Bower building. (A) Characteristic behavioral patterns associated with pit digging (Upper) and castle bower building (Lower). (B) Average.

Bower building. Bower building. (A) Characteristic behavioral patterns associated with pit digging (Upper) and castle bower building (Lower). (B) Average.
Distribution of mutations in different groups of genes, in cancer with extreme ML values. Distribution of mutations in different groups of genes, in cancer.

Distribution of mutations in different groups of genes, in cancer with extreme ML values. Distribution of mutations in different groups of genes, in cancer.
Complex phylogenetic relationships among sand-dwelling Malawi cichlids

Complex phylogenetic relationships among sand-dwelling Malawi cichlids
Components of the yield trend.

Components of the yield trend.
FRET change in SCORE precedes fusion.

FRET change in SCORE precedes fusion.
WCI evolve as organisms become more complex.

WCI evolve as organisms become more complex.

Similar presentations

Ads by Google