Review





Similar Products

deseq2 tool  (Partek)
86
Partek deseq2 tool
Deseq2 Tool, supplied by Partek, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deseq2+tool/pm41673285-131-7-11?v=Partek
Average 86 stars, based on 1 article reviews
deseq2 tool - by Bioz Stars, 2026-08
86/100 stars
  Buy from Supplier
deseq2 tool  (BioCloud Inc)
90
BioCloud Inc deseq2 tool
Deseq2 Tool, supplied by BioCloud Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deseq2+tool/pm40004035-245-1-7?v=BioCloud+Inc
Average 90 stars, based on 1 article reviews
deseq2 tool - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
deseq2 tool v1.46  (BioCloud Inc)
90
BioCloud Inc deseq2 tool v1.46
Volcano map and selective signal analysis of DEGs and Venn map of DEGs between EM pigs and HB pigs at the same stage. ( a ) Each volcano plot displays gene expression changes at different time points (1 day, 30 days, 60 days, 90 days, and 120 days). The x -axis represents the log2 fold change, and the y -axis shows the −Log10 p -value. Genes are color-coded as follows: gray (nonsignificant), blue (significant log2 fold change only), green (significant p -value only), and red (both significant). The vertical dashed lines indicate a 2-fold change threshold, and the horizontal dashed line represents the significance threshold at p < 0.05. The total number of variables analyzed is 9338. ( b ) Venn diagram displaying the overlap of genes identified by XP-EHH, the F ST /θ π ratio, and <t>DESeq2</t> differential expression analysis. A total of 41 genes were identified by all three methods, as shown in the central overlapping region.
Deseq2 Tool V1.46, supplied by BioCloud Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deseq2+tool/pmc11855449-155-1-7?v=BioCloud+Inc
Average 90 stars, based on 1 article reviews
deseq2 tool v1.46 - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier
deseq2 tool  (Illumina Inc)
90
Illumina Inc deseq2 tool
Volcano map and selective signal analysis of DEGs and Venn map of DEGs between EM pigs and HB pigs at the same stage. ( a ) Each volcano plot displays gene expression changes at different time points (1 day, 30 days, 60 days, 90 days, and 120 days). The x -axis represents the log2 fold change, and the y -axis shows the −Log10 p -value. Genes are color-coded as follows: gray (nonsignificant), blue (significant log2 fold change only), green (significant p -value only), and red (both significant). The vertical dashed lines indicate a 2-fold change threshold, and the horizontal dashed line represents the significance threshold at p < 0.05. The total number of variables analyzed is 9338. ( b ) Venn diagram displaying the overlap of genes identified by XP-EHH, the F ST /θ π ratio, and <t>DESeq2</t> differential expression analysis. A total of 41 genes were identified by all three methods, as shown in the central overlapping region.
Deseq2 Tool, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deseq2+tool/10__1128_slash_msystems__00996___21-316-5-12?v=Illumina+Inc
Average 90 stars, based on 1 article reviews
deseq2 tool - by Bioz Stars, 2026-08
90/100 stars
  Buy from Supplier

Image Search Results


Volcano map and selective signal analysis of DEGs and Venn map of DEGs between EM pigs and HB pigs at the same stage. ( a ) Each volcano plot displays gene expression changes at different time points (1 day, 30 days, 60 days, 90 days, and 120 days). The x -axis represents the log2 fold change, and the y -axis shows the −Log10 p -value. Genes are color-coded as follows: gray (nonsignificant), blue (significant log2 fold change only), green (significant p -value only), and red (both significant). The vertical dashed lines indicate a 2-fold change threshold, and the horizontal dashed line represents the significance threshold at p < 0.05. The total number of variables analyzed is 9338. ( b ) Venn diagram displaying the overlap of genes identified by XP-EHH, the F ST /θ π ratio, and DESeq2 differential expression analysis. A total of 41 genes were identified by all three methods, as shown in the central overlapping region.

Journal: International Journal of Molecular Sciences

Article Title: Integration of Multiomics Data Reveals Selection Characteristics of ITGB1 That Are Associated with Size Differentiation in Pigs

doi: 10.3390/ijms26041569

Figure Lengend Snippet: Volcano map and selective signal analysis of DEGs and Venn map of DEGs between EM pigs and HB pigs at the same stage. ( a ) Each volcano plot displays gene expression changes at different time points (1 day, 30 days, 60 days, 90 days, and 120 days). The x -axis represents the log2 fold change, and the y -axis shows the −Log10 p -value. Genes are color-coded as follows: gray (nonsignificant), blue (significant log2 fold change only), green (significant p -value only), and red (both significant). The vertical dashed lines indicate a 2-fold change threshold, and the horizontal dashed line represents the significance threshold at p < 0.05. The total number of variables analyzed is 9338. ( b ) Venn diagram displaying the overlap of genes identified by XP-EHH, the F ST /θ π ratio, and DESeq2 differential expression analysis. A total of 41 genes were identified by all three methods, as shown in the central overlapping region.

Article Snippet: The DESeq2 tool (v1.46) on the Meiji BioCloud platform ( https://cloud.majorbio.com/ , accessed on 25 April 2024) [ ] was employed for this analysis, applying screening criteria of |log2Fold Change| > 1 and a Q value < 0.05 to effectively control the false-positive rate.

Techniques: Gene Expression, Quantitative Proteomics