Author

Yin Lu

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Marc K. HalushkaiD· 3 shared Alexander Spyridon BarasiD· 2 shared Akhilesh PandeyiD· 1 shared Arun H. PatiliD· 1 shared Avi Z. RosenbergiD· 1 shared Bastian FrommiD· 1 shared Christopher J. Mitchell· 1 shared Dan E. ArkingiD· 1 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersMolecular Biology

Marc K. HalushkaORCID

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3 papers

Recent·Most cited

miR-21-5p and miR-30a-5p are identical in human and bovine, have similar isomiR distribution, and cannot be used to identify xenomiR uptake from cow milk

Bastian Fromm, Juan Pablo Tosar, Yin Lu, Marc K. Halushka, Kenneth Whitaker Witwer

The paper shows miR-21-5p and miR-30a-5p are identical between human and bovine, and their presence in human blood after milk ingestion is likely due to endogenous regulation or technical issues, not xenomiR uptake.

Journal of Nutrition · Jun 19, 2018Peer-reviewedMolecular Biology

miRge 2.0: An updated tool to comprehensively analyze microRNA sequencing data

Yin Lu, Alexander Spyridon Baras, Marc K. Halushka

miRge 2.0 improves miRNA analysis with enhanced detection, A-to-I editing analysis, and better alignment, outperforming existing tools on human datasets.

bioRxiv · Jan 19, 2018 · PreprintBioinformatics

Towards the human cellular microRNAome

Matthew N. McCall, Min‐Sik Kim, Mohammed Adil, Arun H. Patil, Yin Lu, Christopher J. Mitchell, Pamela Leal, Jinchong Xu, Manoj Kumar, Valina Lynn Dawson, Ted M. Dawson, Alexander Spyridon Baras, Avi Z. Rosenberg, Dan E. Arking, Kathleen H. Burns, , Marc K. Halushka

The paper establishes the landscape of human cell-specific microRNA expression using small RNA-seq data from diverse cell types and tissues, identifying novel microRNA loci and patterns correlated with super-enhancer activity.

Genome Research · Oct 1, 2017Peer-reviewedGenomics