I noticed this directory in the 1000 Genomes Project files today, which seems to contain sequence alignment data: ftp://ftp.1000genomes.ebi.ac.uk/vol1...ata/alignment/ . Does anyone know what the NCBI varpipe data is or what "varpipe" refers to? (Also, any idea why it's in the "technical" folder rather than the "data" folder?)
-
-
Hi Greg
The NCBI Varpipe data is an alternative alignment set being created using the 1000 genomes data.
It is not under data as it isn't included in the official alignment release as described by the alignment index ftp://ftp.1000genomes.ebi.ac.uk/vol1...lignment.index
We are presenting it on the ftp site as this data is being used to support some of our multiple snp calling pipelines and we want users to be able to see as much of the data which goes into our pipelines as possible
If you have any other questions about the 1000 genomes data set you can always email [email protected]
thanks -
Thanks very much, Laura. I also came across this pdf which seems to provide further details on this approach: http://www.bbmriwiki.nl/raw-attachme...-20100913d.pdfComment
-
Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...10-14-2026, 09:55 AM -
Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.
We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing...
Comment