Author

Farhan Khan

Georgia Institute of Technology

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 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Organism:non-human primate· 1

Frequent Co-Authors

Ameet J. PintoiD· 1 shared Benjamin GincleyiD· 1 shared Ga-Yeong Kim· 1 shared Hannah R. MolitoriD· 1 shared Ian BradleyiD· 1 shared Jeremy S. GuestiD· 1 shared Md Mahbubul Alam· 1 shared Syed Muhammad Ali NaqviiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

Ameet J. PintoORCID

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Author profile →

2 papers

Recent·Most cited

Systematic comparisons between long-read and short-read based amplicon sequencing to characterize mixed microalgal communities.

Zihan Dai, Md Mahbubul Alam, Benjamin Gincley, Farhan Khan, Ga-Yeong Kim, Hannah R. Molitor, Jeremy S. Guest, Ian Bradley, Ameet J. Pinto

This study compares short-read and long-read amplicon sequencing for microalgal community analysis, finding long-reads better capture species-level diversity while short-reads detect grazing pressure indicators.

bioRxiv · Apr 18, 2026 · PreprintMicrobiology

Computational Discovery of CRISPR-Cas13b Guide RNAs for Broad-Spectrum Dengue Virus Targeting

Syed Muhammad Ali Naqvi, Farhan Khan, Syed Muhammad Muslim

This paper develops a computational pipeline for designing CRISPR-Cas13b guide RNAs targeting Dengue virus, showing classical machine learning models outperform deep learning in low-data regimes.

Communications in computer and information science · Jan 1, 2026Peer-reviewedBioinformatics