Author

Mitra Ansariola

Oregon State UniversityORCID 0000-0003-0092-1435Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Molly S. MegrawiD· 2 shared David KoslickiiD· 1 shared Maria G. Ivanchenko· 1 shared Olivia R. OzguciD· 1 shared Russell A. GouldiD· 1 shared Sergei A. FilichkiniD· 1 shared Shawn T. O’NeiliD· 1 shared Valerie N. FraseriD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Molly S. MegrawORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintSep 1, 2020

Accurate transcription start sites enable mining for the cis-regulatory determinants of tissue specific gene expression

Mitra Ansariola, Valerie N. Fraser, Sergei A. Filichkin…·Molly S. Megraw

The paper identifies cis-regulatory determinants of tissue-specific gene expression in Arabidopsis thaliana by analyzing TSS-seq, OC-seq, and RNA-seq data, finding that TSS-proximal TF binding sites are more important than distal chromatin regions.

1 citation

Arabidopsisbulk RNA-seq

𝕏 PostBluesky

Systems BiologyBioinformaticsPeer-reviewedDec 8, 2017

IndeCut evaluates performance of network motif discovery algorithms

Mitra Ansariola, Molly S. Megraw, David Koslicki

IndeCut evaluates network motif discovery algorithms to determine their performance and guide tool selection for any network of interest.

7 citations

statistical modelbenchmarking

𝕏 PostBluesky