Shengwei Hou

2013-2018 Faculty of Biology Albert-Ludwigs-University Freiburg, Freiburg im Breisgau, Baden-Württemberg, Germany 
 2018-2021 Marine and Environmental Biology University of Southern California, Los Angeles, CA, United States 
 2021- Department of Ocean Science and Engineering Southern University of Science and Technology ( SUSTech) 
marine microbial ecology; bioinformatics; computational microbiology
"Shengwei Hou"


Sign in to add collaborator
Jed A. Fuhrman collaborator 2018-2021 USC
Fengzhu Sun collaborator 2018-2021 USC
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Xu S, Huang H, Chen S, et al. (2024) Recovery of 1887 metagenome-assembled genomes from the South China Sea. Scientific Data. 11: 197
Ai D, Chen L, Xie J, et al. (2023) Identifying local associations in biological time series: algorithms, statistical significance, and applications. Briefings in Bioinformatics. 24
Guo J, Xu S, Liu Y, et al. (2023) Complete Genome Sequence of Stutzerimonas stutzeri Strain SOCE 002, a Marine Bacterium Isolated from the Surface Seawater of Dapeng Bay. Microbiology Resource Announcements. e0015023
Guo K, Xu S, Liu Y, et al. (2023) Complete Genome Sequence of a Cognatishimia activa Strain Assembled from the Phycosphere of the Marine Diatom Skeletonema tropicum. Microbiology Resource Announcements. 12: e0116422
Tao J, Wang W, Weissman JL, et al. (2022) Size-fractionated microbiome observed during an eight-month long sampling in Jiaozhou Bay and the Yellow Sea. Scientific Data. 9: 605
Tang T, Hou S, Fuhrman JA, et al. (2022) Phage-bacterial contig association prediction with a convolutional neural network. Bioinformatics (Oxford, England). 38: i45-i52
Chen Z, Shang JL, Hou S, et al. (2021) Genomic and transcriptomic insights into the habitat adaptation of the diazotrophic paddy-field cyanobacterium Nostoc sphaeroides. Environmental Microbiology
Weissman JL, Hou S, Fuhrman JA. (2021) Estimating maximal microbial growth rates from cultures, metagenomes, and single cells via codon usage patterns. Proceedings of the National Academy of Sciences of the United States of America. 118
Long AM, Hou S, Ignacio-Espinoza JC, et al. (2020) Benchmarking microbial growth rate predictions from metagenomes. The Isme Journal
Georg J, Lalaouna D, Hou S, et al. (2019) The power of cooperation: Experimental and computational approaches in the functional characterization of bacterial sRNAs. Molecular Microbiology
See more...