Author

Aditya Ariyur

Indiana University – Purdue University Indianapolis

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

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Doaa HassaniD· 1 shared Quoseena MiriD· 1 shared Sarath Chandra JangaiD· 1 shared Swapna Vidhur DaulatabadiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Doaa HassanORCID

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1 paper

Recent·Most cited

Nm-Nano: A Machine Learning Framework for Transcriptome-Wide Single Molecule Mapping of 2{acute}-O-Methylation (Nm) Sites in Nanopore Direct RNA Sequencing Datasets

Doaa Hassan, Aditya Ariyur, Swapna Vidhur Daulatabad, Quoseena Mir, Sarath Chandra Janga

Nm-Nano predicts Nm sites in Nanopore RNA sequencing data with high accuracy, identifying frequently modified genes in human cell lines and their biological roles.

bioRxiv · Jan 3, 2022 · PreprintBioinformatics