LSTrAP-Cloud : a user-friendly cloud computing pipeline to infer coexpression networks
As genomes become more and more available, gene function prediction presents itself as one of the major hurdles in our quest to extract meaningful information on the biological processes genes participate in. In order to facilitate gene function prediction, we show how our user-friendly pipeline, th...
Saved in:
Main Authors: | Tan, Qiao Wen, Goh, William, Mutwil, Marek |
---|---|
Other Authors: | School of Biological Sciences |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145307 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
LSTrAP-denovo: automated generation of transcriptome atlases for eukaryotic species without genomes
by: Lim, Peng Ken, et al.
Published: (2024) -
LSTrAP-Crowd : prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data
by: Hew, Benedict, et al.
Published: (2021) -
The impact of user rationality in federated clouds
by: Mihailescu, M., et al.
Published: (2013) -
Cloud computing: Does every cloud have a silver lining?
by: Dela Cruz, Aeson Luiz
Published: (2014) -
Edge-cloud cooperation for DNN inference via reinforcement learning and supervised learning
by: Zhang, Tinghao, et al.
Published: (2024)