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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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
This convergence of genetics, immunology, and computation...-
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