Back to Blog
Circular studio 1.26/11/2023 We currently have the capacity to collect 4000L of Rainwater. Natural Dyeing works best with Rainwater and don't we have an abundance of it here in Ireland! The PH is generally stable and it is for free. The glasshouses turned out to be perfect for Rainwater Collection. Our Studio can be supplied by River Water, but has no direct connection to Mains Supply. Our studio is situated near an industrial estate, surrounded by acres of abandoned glass houses, old nurseries and woodland. Dye Houses are anything but and are well known for pollution and high water usage. It was quite clear to us from the very beginning, that our entire system had to be as ecological and as sustainable as possible. # the order of 'highlight.text' must be consistent with 'highlight' # : value or vecter, control the size of added text # : value or vecter, control the font of added text # : value or vecter or list for multiple traits, -1, 0, 1 limited, control the position of text around the highlighted SNPs: -1(left), 0(center), 1(right) # water collection to woodland filtration and worm compositing, learn how the circular economy of Apple Oak Fibre Works goes green for all our good! # Note: # 'highlight', 'highlight.text', '', '' could be vector or list, if it is a vector, # all traits will use the same highlighted SNPs index and text, if it is a list, the length of the list should equal to the number of traits. =c( "red ", "blue ", "green "), threshold = 0.05 /nrow( pig60K), threshold.lty = 2,Īmplify = FALSE, file = "jpg ", file.name = " ", dpi = 300, file.output = TRUE, verbose = TRUE, width = 14, height = 6) l =c( "red ", "blue ", "green "), highlight.cex = 1, highlight.pch =c( 15 : 17), highlight.text = genes, > CMplot( pig60K, plot.type = "m ", LOG10 = TRUE, col =c( "gre圓0 ", "grey60 "), highlight = SNPs, rMVP: A Memory-efficient, Visualization-enhanced, and Parallel-accelerated tool for Genome-Wide Association Study, Genomics, Proteomics & Bioinformatics (2021), doi: 10.1016/j.gpb.2020.10.007. Total 50~ parameters are available in CMplot, typing ?CMplot can get the detail function of all parameters.ĬMplot has been integrated into our developed GWAS package rMVP, please cite the following paper: Now CMplot could handle not only Genome-wide association study results, but also SNP effects, Fst, tajima's D and so on. Note: if plotting SNP_Density, only the first three columns are needed. data( pig60K) #calculated p-values by MLM > data( cattle50K) #calculated SNP effects by rrblup > head( pig60K)
0 Comments
Read More
Leave a Reply. |