[New member] Jungyong Ji student joining

Jung Lab

2020년 2월 10일

최종 수정일: 2020년 4월 20일

Our lab welcomes a new member, Jungyong Ji, as a master student from March 2020. Jungyong Ji will pursue his research goal of interested topics including computational prediction of metabolic profiles from microbiome sequencing data.

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[New publication] Advances in functional analysis of the microbiome: Integrating metabolic modeling, metabolite prediction, and pathway inference with NextGeneration Sequencing data

Our new paper has been published in Journal of Microbiology. This review article discusses recent advancements in microbiome functional...

[New publication] PredCMB: predicting changes in microbial metabolites based on the gene–metabolite network analysis of shotgun metagenome data

Our new paper has been published in Bioinformatics. The paper introduces PredCMB, a novel computational method for predicting changes in...

[New publication] Advances in modeling cellular state dynamics: integrating omics data and predictive techniques

Our new paper has been published in Animal Cells and Systems. Sungwon Jung. "Advances in modeling cellular state dynamics: integrating...

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Jung Lab

2월 8일1분 분량

[New publication] Advances in functional analysis of the microbiome: Integrating metabolic modeling, metabolite prediction, and pathway inference with NextGeneration Sequencing data

Our new paper has been published in Journal of Microbiology. This review article discusses recent advancements in microbiome functional...

조회수 5회댓글 0개

Jung Lab

2월 3일1분 분량

[New publication] PredCMB: predicting changes in microbial metabolites based on the gene–metabolite network analysis of shotgun metagenome data

Our new paper has been published in Bioinformatics. The paper introduces PredCMB, a novel computational method for predicting changes in...

조회수 7회댓글 0개