Tìm thấy 19+ kết quả cho từ khóa "Enrichment analyses"
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Gene expression analyses between species. functional enrichment between green turtle foraging aggregations. differential expression analyses between the three green turtle foraging aggregations using the R packages edgeR and limma [89, 100]. We then performed functional enrichment analyses of pairwise comparisons between green turtle foraging aggregations with a Kolmogorov- Smirnov test (weight01 algorithm) implemented in the R package TopGO [101].
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Additionally, we found the mRNAs significantly enriched in many pathways according to the GO and KEGG functional enrichment analyses. Finally, the lncRNA-mRNA interaction network was constructed using the Pearson correlation coefficients, based on the FPKM values of the lncRNAs and mRNAs.
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A heatmap describing the involvements of DRMs in biological processes based on the Gene Ontology enrichment using their highly correlated drought-responsive genes (|PCC >. A heat- map describing the involvements of DRMs in metabolic pathways based on the KEGG enrichment using their highly correlated drought- responsive genes (|PCC >. -0.4) correlated drought-responsive genes (DRGs) for OsmiR1870-3p and OsmiR1870-5p. 0.05 in the enrichment analyses, respectively.
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Red and green dots represent up- and down-regulated genes, respectively, and gray dots indicate transcripts that did not change significantly in the LT + EBR library compared to LT. c Hierarchical clustering of all of the DEGs was based on the log 10 RPKM values. 4 GO and KEGG pathway enrichment analyses of the DEGs in the LT and LT + EBR treatments of wucai leaves. a GO enrichment analysis with the 30 most enriched GO terms in the 3 categories shown. is the first demonstration of the molecular mechanisms
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Functional analyses of DEGs between C2 and D2 groups To illustrate the functions of the DEGs after DPC treat- ment, GO enrichment and KEGG enrichment analyses of the comparison of C2 and D2 with the most DEGs were performed. KEGG enrichment analysis showed that 17 and 30 pathways were enriched in the upregulated and downregulated genes, respectively (Fig.
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The predicted targets of DE microRNAs of each group were separately submitted to DAVID for an- notation and enrichment analyses.
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Thus, 2–8% of the aiptasia-specific up-regulated DECs represented the receptor activity, signal transduction and peptidase activity GO classes, while the same GO classes were represented by 2–6% of the down-regulated DECs.. 2 only shows the results of enrichment analyses performed on up-regulated DECs and GO cat- egories related to different aspects of the immune re- sponse.
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Functional analysis of the differentially expressed genes To better understand the functions of the differentially expressed genes, GO and KEGG pathway enrichment analyses were performed. Among these GO terms were related to the host im- mune response and inflammatory response (Table 2), in- cluding the innate immune response (GO positive regulation of T cell proliferation (GO and regulation of the adaptive immune response (GO:.
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GO term enrichments – Results of the gene ontology term enrichment analyses of genes highly expressed in each organ Additional file 5. Trees and tables – Phylogenetic trees, table of the transporter genes annotated in the L. orbiculatus transcriptome, and table of the urease metabolism genes in the genome of Loripes orbiculatus endosymbiont candidatus Thiodiazotropha endoloripes.
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GO and KEGG pathway enrichment analyses revealed that most DE lncRNAs and protein- coding genes were associated with inflammatory. 6 Verification of the correlation between lncRNAs and mRNAs. b The location of lncRNAs and target mRNAs respectively. pathways in PAMs.
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We applied a sum-based method, implemented in the R package for Quantitative Genetic and Genomic ana- lyses (QGG package. http://psoerensen.github.io/qgg/) [58], for GWAS signal enrichment analyses across all 16 gene co-expression modules detected by WGCNA.
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Figure 4c and d show the results of the func- tional enrichment analyses for increased and decreased DEPs. To analyze the expression patterns of the two breeds in more detail, the DEPs obtained from analyses of MSD72 vs. 4 Functional enrichment analysis for DEPs between Meishan and Duroc sows at days 49 and days 72. 5 and Additional file 3: Table S3).
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Gene numbers listed for each tissue sum to the total differentially expressed genes in the current study, not the total genes incorporated in the enrichment analyses. In the current study, we did not directly evaluate resilience to health stressors as a function of aggression, and so it is possible that low aggression bees here are protected against infection.
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In the present study, functional enrichment analyses of both cis- and trans-target genes of DE-lncRNAs revealed that the muscle development-related enriched GO terms were found only in the W22 vs. This is consistent with our previous transcriptomics ana- lysis [19] and indicates that the period from 14 to 22 weeks is an important stage in the development of chicken breast muscle.
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We also performed similar enrichment analyses of genes in the 2154 vertebrate-only and 88 invertebrate-only orthogroups, in order to gain insights into differential functional specializations of the vertebrate and inverte- brate CNS. Enrichment of mouse genes in the vertebrate-only orthogroups showed a constellation of GO (Fig.
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Gene ontology enrichment and KEGG pathway analyses GO annotation and KEGG enrichment analyses were conducted to annotate the potential function of the genes. GO enrichment analysis was carried out with the GOseq R package, and the GO terms of the DEGs were assessed using Fisher’s exact test. Prediction of lncRNA and miRNA targets and construction of the ceRNA network.
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The enrichment analyses were separately obtained using web service tools from the Gene Ontology Consortium (GOC, http://geneontol- ogy.org) and client software from Ingenuity Pathway Analysis (IPA, http://www.ingenuity.com/products/ipa).. Supplementary information accompanies this paper at https://doi.org/10.. Additional file 1. Additional file 2. Additional file 3.
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In order to understand the overall biological significance of EV, we examined the functional aspects that are enriched in the Hyper-Variable, Hypo-Variable, and Non- Variable probe-mapped gene sets by conducting a gene set enrichment analysis in each category. We conducted a functional enrichment analyses of the gene symbols.
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Based on the GO enrichment analyses, the gene annota- tions on SoyBase (Additional file 1: Table S14) and the gene expression levels on SoyBase and Phytozome (https://phy- tozome.jgi.doe.gov/pz/portal.html), we predicted six candi- date genes for soybean leaf chlorophyll-content traits.. The genomic positions of the candidate genes were step- wise displayed from the anchored bin markers on soybean chromosomes to the candidate genes in the bin markers..
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Enrichment analyses and construction of the protein- protein interaction network. GO annotation and KEGG pathway enrichment analysis were performed for DEGs and lncRNA target genes to explore the main biological functions of the differentially expressed mRNA and lncRNAs.