Author

Evangelos Georganas

Intel (United States)ORCID 0009-0007-8738-3532Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:ATAC-seq· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:genome assembly· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aaron E. DarlingiD· 1 shared Adrian FritziD· 1 shared Alessio MilaneseiD· 1 shared Alexander HeineckeiD· 1 shared Alexandru Cristian· 1 shared Alexey A. GurevichiD· 1 shared Andrew S. WarreniD· 1 shared Antoine LimassetiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aaron E. DarlingORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedApr 1, 2022

Critical Assessment of Metagenome Interpretation - the second round of challenges

Fernando Meyer, Adrian Fritz, Zhi-Luo Deng…·Till Strowig

The paper evaluates metagenomic software tools using realistic datasets, highlighting improvements in assembly and taxon profiling while identifying remaining challenges in virus/archaea detection and reproducibility.

371 citationstop 1%

metagenomicsstatistical model

𝕏 PostBluesky

GenomicsbioRxivPreprintSep 28, 2021

Accelerating Identification of Chromatin Accessibility from noisy ATAC-seq Data using Modern CPUs

Narendra Chaudhary, Sanchit Misra, Dhiraj D. Kalamkar…·Bharat Kaul

The paper accelerates deep learning-based ATAC-seq analysis on CPUs, achieving 2.27x speedup over GPUs using efficient layers and reduced precision training.

DOI 10.1101/2021.09.28.462099

ATAC-seqdeep learning

𝕏 PostBluesky