Automated archiving of BAM files

Our capacity to keep BAM files available for download is a real challenge and we are faced with the constant pressure to free up diskspace as more projects come onboard. We've come up with a way to automatically archive BAM files that are older than 1 year to tape storage without any human intervention.

Comments

Post a Comment

Popular posts from this blog

Measuring Variant Conservation with GERP Score and Siphy

The more annotations, the better! We've recently added 2 new annotations to assist with variant prioritisation as a measure of variant conservation and these are GERP scores and Siphy. GERP stands for Genomic Evolutionary Rate Profiling. Conceptually, GERP is a method for the identification of slowly evolving regions in a multiple sequence alignment, defined as ‘constrained elements’. "Constrained elements are identified by comparing the observed to the expected rates of evolution for each window, and defining all those regions whose collective observed rates of evolution are significantly lower than would be expected under a null model." More simply, it is a score used to calculate the conservation of each nucleotide in multi-species alignment with ranges from -12.3 to 6.17, with 6.17 being the most conserved. Positive scores (observed fewer than expected) indicate that a site is under evolutionary constraint. Negative scores may be weak evidence of accelerated rates of
Read more

Custom Exomiser reports

Users can now run Exomiser using parameters of their choosing. For example, users can set the allele frequency , variant type, inheritance mode, and model organisms. To use Exomiser, from the menu Reports -> Exomiser. Results will be emailed to you when completed.
Read more

Supplementary information available for download

As part of our datasets for download, we've added some supplementary information (generated as TXT files by the pipeline) to go along with the VCFs and BAMs files. The files contain information such as the cutoffs used to qualify variants as a PASS, which include things like read depth cutoffs, median quality score cutoffs and so on. Furthermore, the files also contain general statistics about total variants passed, the proportion of variants that are exonic, splice sites, number of distinct genes and averages of read depth and median quality. Another file called the 'readReport.summary' includes information about how many were paired, mispaired, aligned, and unaligned. The supplemantary files can be found under the 'Datasets' section.
Read more