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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
UTM Press
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117603/1/117603.pdf http://psasir.upm.edu.my/id/eprint/117603/ https://ijic.utm.my/index.php/ijic/article/view/483 |
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