Author

Brian Paul Dalrymple

Commonwealth Scientific and Industrial Research OrganisationORCID 0000-0003-3891-5233Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Antônio ReverteriD· 1 shared Ben J. HayesiD· 1 shared Bingru ZhaoiD· 1 shared Congjun LiiD· 1 shared Cuiling WuiD· 1 shared Emily L. ClarkiD· 1 shared Feng WangiD· 1 shared George E. LiuiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Antônio ReverterORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintNov 14, 2024

A multi-tissue developmental gene expression atlas towards understanding the biological basis of phenotypes in sheep

Bingru Zhao, Hanpeng Luo, Xuefeng Fu…·Lingzhao Fang

The paper constructs a sheep developmental gene expression atlas and identifies key genes associated with economically important traits by analyzing gene expression across developmental stages.

1 citation

bulk RNA-seqstatistical model

𝕏 PostBluesky

GenomicsGigaSciencePeer-reviewedFeb 16, 2018

Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics and epigenetics data

Quan Hoang Nguyen, Ross L. Tellam, Marina Naval-Sánchez…·Brian Paul Dalrymple

The paper develops a computational method to predict regulatory regions in mammals using human genomics data, and applies it to cattle to prioritize variants and identify genome editing targets.

30 citations

humanmouse

𝕏 PostBluesky