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Transcripts that showed significantly decreased expression in daf-16(mgDf50) comparing to in N2 at L1 larva stage. |
DESeq v1.20.0 was used to analyze differential gene expression. Transcripts with adjusted p-value < 0.05 were considered differentialled expressed. |
WBPaper00048971:daf-16(mgDf50)_downregulated_L1
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Genes that showed expression levels higher than the corresponding reference sample (L2 all cell reference). |
A Mann-Whitney U test with an empirical background model and FDR correction for multiple testing was used to detect expressed transcripts (Benjamini and Hochberg 1995). Genes and TARs with an FDR <= 0.05 were reported as expressed above background. Authors detected differentially expressed transcripts using a method based on linear models. Genes and TARs were called differentially expressed if the FDR was <= 0.05 and the fold change (FC) >= 2.0. To more strictly correct for potential false-positives resulting from multiple sample comparisons, authors divided individual FDR estimates by the number of samplesor sample comparisons, respectively. This resulted in an adjusted FDR of 1.3 * 0.0001 for expression above background and of 7.4 * 0.0001 for differential expression. Authors called genes selectively enriched in a given tissue if they met the following requirements: (1) enriched expression in a given tissue (FDR <= 0.05 and FC >= 2.0), (2) fold change versus reference among the upper 40% of the positive FC range observed for this gene across all tissues, and (3) fold-change entropy among the lower 40% of the distribution observed for all genes. |
WBPaper00037950:all-neurons_L2-larva_expressed
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Genes significantely Up-regulated by GRO-seq in csr-1 hypomorph vs. N2 using DESeq p < 0.05. |
DESeq package with an FDR of < 0.05. |
WBPaper00045050:csr-1(hypomorph)_upregulated
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Genes found to be regulated by low-copy overexpression of sir-2.1 with p < 0.014. |
N.A. |
WBPaper00026929:sir-2.1_overexpression_regulated
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Genes with differential expression under 1.0mg/l Diazinon treatment at 16 centigrade. |
To identify the differentially expressed genes in each treatment authors used linear models per toxicant and temperature (gene expression = Toxicant (effect) + error). The lm function in R stats package was used to implement the linear models analysis with recommended default options. For threshold determination authors used a permutation approach. For each of the 23,232 permutations used authors randomly picked a transcript (array spot), which could only be picked once. Authors combined all the expression values of this transcript and randomly distributed them over the replicates and used them in the linear model. In this way authors obtained a threshold for each of the toxicants. Authors used a -log10 p-value 2 as common threshold for the analysis, which resembles to the following FDR per toxicant: 0.0155 for CPF at 24 centigrade, 0.0148 for DZN at 24 centigrade, 0.0168 for CPF+DZN at 24 centigrade, 0.0142 for CPF at 16 centigrade, 0.0151 for DZN at 16 centigrade, and 0.0148 for CPF+DZN, at 16 centigrade. |
WBPaper00037113:Diazinon_16C_regulated
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Genes that showed significantly decreased expression level in rsr-2(RNAi) animals comparing to in gfp(RNAi) control. |
Fold change > 1.2 or < 0.8. |
WBPaper00042477:rsr-2(RNAi)_downregulated_TilingArray
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Probe sets that showed significant decreased expression in CerS(rf) [lagr-1(gk327); hyl-1(ok976)] compared with N2 animals during L1 starvation. |
t-test, p-value < 0.01, fold change >= 2.0. |
WBPaper00050520:lagr-1(gk327);hyl-1(ok976)_downregulated
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Genes predicted to be upregulated more than 2.0 fold in rrf-2(ok210) mutant worms as compared to wild-type animals (t-test P-value < 0.05). |
A t-test (5% confidence) was applied to the triplicate sample data for each transcript in each mutant to identify genes significantly elevated or decreased compared with the wild type. |
WBPaper00027111:rrf-2(ok210)_upregulated
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Coexpression clique No. 282, srj-21-srh-32, on the genome-wide coexpression clique map for the nematode GPL200 platform. |
All available microarray datasets for the GPL200 platform (Affymetrix C. elegans Genome Array) were obtained from the GEO repository. This included 2243 individual microarray experiments. These were normalized against each other with the software RMAexpress (Bolstad, 2014). Based on these normalized values, Pearsons correlation coefficients were obtained for each probe-probe pair of the 22,620 probes represented on this array type. The resulting list of correlation coefficients was then ranked to generate the ranked coexpression database with information on each probe represented on the GPL200 platform. |
WBPaper00061527:srj-21-srh-32
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Genome-wide analysis of developmental and sex-regulated gene expression profile. |
self-organizing map |
cgc4489_group_3
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Genes with significantly decreased expression in lin-35(n745) comparing to in N2 in starvation condition. |
Statistical t-test: P < 0.015 for lin-35(n745) analysis with a threshold of 2-fold ratio of mis-regulation. |
WBPaper00048637:lin-35(n745)_starvation_downregulated
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Class B gene expression showed up regulation in lin-14(lf) in L1, no change in lin-4(lf) in L2. |
Raw data from each experiment were downloaded from the Stanford Microarray Database into Excel files and processed as follows: (i) sort by Spot Flag and discard any rows where the Spot Flag value was nonzero, indicating a bad PCR; (ii) sort by Failed and discard any rows where the Failed value was nonzero, indicating abnormal hybridization; (iii) import into a common file for each type of experiment (i.e., lin-14 or lin-4) the columns from each raw experimental file [RAT2(R/G), which shows a log base 2 transformed ratio of normalized red/green signal for each spot; name of spot (Wormbase designation); chromosome location and description (www.wormbase.org)]; (iv) calculate an average RAT2(R/G) based on the 2 or 3 values (avg; any rows which had only one good experimental value were discarded); (v) calculate a standard deviation (stdev) for the average value; (vi) calculate a t value for each spot by using the formula t = avg*[sqrt(n - 1)]/stdev, where n is the number of experiments for which good data exist, sqrt is square root, and stdev is standard deviation; (vii) sort by absolute t value and discard any rows with a t value below 4.303 (below 95% confidence interval for three experiments) or below 12.706 (below 95% confidence interval for two experiments); (viii) sort by absolute average value and discard any rows with average values below 1.0 (less than twofold change compared to control). |
WBPaper00026952:class_B
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