Enhancing transcriptomic analysis by influencing de novoassembly using parallel computing
The efficient and accurate assembly of genomic data is a computationally intensive process that demands significant computational resources. Traditional sequential approaches often struggle to handle genomic data sets increasing volume and complexity, leading to prolonged execution times and subopti...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
UTM Press
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117603/ http://psasir.upm.edu.my/id/eprint/117603/1/117603.pdf |