We plan to put fastq files generated in several RNA seq projects into long term storage using a local service. Because we are working with hundreds of fastq files, we are trying to determine the best method to store the files. The choice is between grouping all of the files into one giant tarball for storage or to break up the fastq files into individual project. One is easier to store, one is easier to access later (for meta-analyses?). Does anyone have any idea whether it makes sense to spend the extra effort to organize the files now?
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Trying to recover some specific piece of data would be a nightmare if you make one giant tarball; depending on the overall size, it's faster, cheaper and probably just as useful to simply delete all the data, rather than sending it to long-term storage in a disorganized mess.
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I would break it based on project and with a simple read me file with each folder to describe whats in each folder.Originally posted by Drerio View PostWe plan to put fastq files generated in several RNA seq projects into long term storage using a local service. Because we are working with hundreds of fastq files, we are trying to determine the best method to store the files. The choice is between grouping all of the files into one giant tarball for storage or to break up the fastq files into individual project. One is easier to store, one is easier to access later (for meta-analyses?). Does anyone have any idea whether it makes sense to spend the extra effort to organize the files now?
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by SEQadmin2
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...-
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10-14-2026, 09:55 AM -
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