GI-SVM: A sensitive method for predicting genomic islands based on unannotated sequence of a single genome.
about
Computational methods for predicting genomic islands in microbial genomesVRprofile: gene-cluster-detection-based profiling of virulence and antibiotic resistance traits encoded within genome sequences of pathogenic bacteria.xenoGI: reconstructing the history of genomic island insertions in clades of closely related bacteria.Preface to selected papers from the 6th International Conference on Computational Systems-Biology and Bioinformatics (CSBio2015).Evolution of the U.S. Biological Select Agent Rathayibacter toxicus
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GI-SVM: A sensitive method for predicting genomic islands based on unannotated sequence of a single genome.
description
2016 nî lūn-bûn
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2016年の論文
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2016年学术文章
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2016年学术文章
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name
GI-SVM: A sensitive method for ...... d sequence of a single genome.
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GI-SVM: A sensitive method for ...... d sequence of a single genome.
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GI-SVM: A sensitive method for ...... d sequence of a single genome.
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GI-SVM: A sensitive method for ...... d sequence of a single genome.
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prefLabel
GI-SVM: A sensitive method for ...... d sequence of a single genome.
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GI-SVM: A sensitive method for ...... d sequence of a single genome.
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P2860
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GI-SVM: A sensitive method for ...... d sequence of a single genome.
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P2093
Bingxin Lu
Hon Wai Leong
P2860
P304
P356
10.1142/S0219720016400035
P577
2016-02-01T00:00:00Z