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Transcripts that showed significantly decreased expression in mrps-5(RNAi) comparing to in control animals. |
Fold change > 4, p-value < 0.01 |
WBPaper00056330:mrps-5(RNAi)_downregulated
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Genes with variation in expression level across conditions (control, 25C, High-pH-Salt, Liquid, infection). |
two-way ANOVA |
WBPaper00041174:environmental
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Genes with variation in expression level across genotypes (AB2, CB4856, RC301, CB4857, N2, HC445). |
two-way ANOVA |
WBPaper00041174:genotypic
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Genes with significant variation across both genotypes and environments. Genotypes |
two-way ANOVA |
WBPaper00041174:genotypic_and_environmental
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Bacteria infection: Serratia marcesens |
Genes down-regulated in animals infected with Serratia marcesens compared to the E. coli OP50 control after 24h of infection. |
MAANOVA and BRB-Array-Tools. |
WBPaper00030985:Serratia_marcesens_downregulated
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Transcripts that showed significantly increased expression in adr-1(tm668) comparing to in N2. |
DESeq2, p-value < 0.05 and a fold enrichment log2fold > 0.5. |
WBPaper00055226:adr-1(tm668)_upregulated
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Transcripts of noncoding genes that showed significantly increased expression in muscle. |
DESeq2 (version 1.24.0). Transcripts with a false-discovery rate adjusted p-value less than 0.05 were considered significantly differentially expressed. |
WBPaper00062325:muscle_enriched_noncoding-RNA
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Expression Pattern Group F, enriched for genes involved in embryonic development. These patterns have in common that they all have genes of which the expression goes up after the juvenile stage. The expression of the genes in these patterns remains high or even goes up after reproduction. |
The significance (P 0.0001) of the relative age (time) was used to determine if a gene was differentially expressed between the three age (time) groups. The effect of this factor explaining gene expression differences was used to determine if the expression went up or down during the two age/time periods (t1 - t2 and t2 -t3). Authors used a permutation approach to determine the thresholds for the different mapping strategies. For each of the used models for eQTL mapping, authors used 23,000 permutations. For each permutation, authors randomly picked a spot; each spot could only be picked once. The gene expression and relative lifespan values were than randomly distributed over the RILs (and time points) and used for mapping. In this way, authors obtained a threshold for each of the explaining factors. For the single time points, authors used a FDR of 0.01 to adjust for multiple testing. The genome-wide threshold for this FDR is -log10 P = 3.8 for each of the three time points. For the combined models (t1 to t2 and t2 to t3), authors used a genome-wide threshold of -log10 P = 4, which resembles an FDR of 0.006, 0.001, and 0.006 for marker, age, and the interaction between marker and age, respectively. To determine the threshold for the single gene examples, authors used 1000 permutations as in the genome-wide threshold. The difference is that they use the gene under study in all of the permutations. The P-values for the gene specific thresholds were determined at FDR = 0.05. |
WBPaper00036286:Pattern_F
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