CRAM compression: practical across-technologies considerations for large-scale sequencing projects
Ayesha Al Ali, Palani Kannan Kandavel, Hakeem Al Mabrazi, George Carvalho, Vinay Kusuma, Gurunath Katagi, Santosh Elavalli, Ayman Yousif, Mohammad Riyaz Akhter, Joseph Mafofo, Tiago R. Magalhães, Javier Quilez
The paper evaluates CRAM compression performance across different sequencing technologies for the Emirati Genome Program, finding 40-70% compression with no data loss.
bioRxiv · Dec 21, 2022 · PreprintBioinformatics