Hello guys,
In my previous post I mentioned that I am working with HTS data's of three traits mice to find out my target SNPs using IGV2.0. It helps me a lot. But the problem is it took long time to visualize and sort SNPs one by one. So, I am aspiring the quickest way. IGV 2.0 indeed helps me a lot comparing to the two ways I was following. Since I am dealing with chromosome 1 which comprises almost 3000 thousands genes, it was impossible even to load read data's in TABLET.
So, it will be great indeed, if any of you can help me out of this problem by suggesting me a quickest way for sorting SNPs regardless of number of sample mice traits.
One more thing, I came to know making consensus of genes among the traits could help this sorting. but I dont have any idea how can I make consensus and further.
eagerly looking forward of your kind replies.
Maruf
In my previous post I mentioned that I am working with HTS data's of three traits mice to find out my target SNPs using IGV2.0. It helps me a lot. But the problem is it took long time to visualize and sort SNPs one by one. So, I am aspiring the quickest way. IGV 2.0 indeed helps me a lot comparing to the two ways I was following. Since I am dealing with chromosome 1 which comprises almost 3000 thousands genes, it was impossible even to load read data's in TABLET.
So, it will be great indeed, if any of you can help me out of this problem by suggesting me a quickest way for sorting SNPs regardless of number of sample mice traits.
One more thing, I came to know making consensus of genes among the traits could help this sorting. but I dont have any idea how can I make consensus and further.
eagerly looking forward of your kind replies.
Maruf