Author

Timothy Hancock

Agriculture VictoriaORCID 0000-0002-2093-237XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Amanda Jane ChamberlainiD· 2 shared Ben J. HayesiD· 2 shared Benjamin G. CocksiD· 2 shared Christy J. Vander JagtiD· 2 shared J.E. PryceiD· 2 shared Michael Edward GoddardiD· 2 shared Min WangiD· 2 shared Claire Prowse-WilkinsiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Amanda Jane ChamberlainORCID

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2 papers

Recent·Most cited

Genome-wide profiling of microRNAs and prediction of mRNA targets in 17 bovine tissues

Min Wang, Amanda Jane Chamberlain, Claire Prowse-Wilkins, Christy J. Vander Jagt, Timothy Hancock, J.E. Pryce, Benjamin G. Cocks, Michael Edward Goddard, Ben J. Hayes

This study identifies microRNA expression and target sites in 17 bovine tissues, revealing tissue-specific regulation and genomic features of microRNA-target interactions.

bioRxiv · Mar 12, 2019 · PreprintBioinformatics

Putative bovine topological association domains and CTCF binding motifs can reduce the search space for causative regulatory variants of complex traits

Min Wang, Timothy Hancock, Amanda Jane Chamberlain, Christy J. Vander Jagt, J.E. Pryce, Benjamin G. Cocks, Michael Edward Goddard, Ben J. Hayes

The paper maps bovine TADs and CTCF binding motifs using genomic synteny and shows they reduce the search space for regulatory variants associated with complex traits.

BMC Genomics · May 24, 2018Peer-reviewedGenomics