Author

Eric Song

Scripps Institution of OceanographyPrimary ORCID profile (0000-0001-5448-5865 · 4 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Eric SongiD4 papers · Yale University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Organism:human· 2 Research Focus:variant effect prediction· 2 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ali TorkamaniiD· 2 shared Kaushik Ram GanapathyiD· 2 shared Pejman MohammadiiD· 2 shared Aaron Quijije· 1 shared Aditya ManthaiD· 1 shared Aidan Tran· 1 shared Alexander Ngo· 1 shared Allison Gash· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Ali TorkamaniORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Bacteriophage treatment of Pseudomonas aeruginosa PA14 infection does not alter the native microbiome of Caenorhabditis elegans

Jennifer E Dumaine Carrasco, Aditya Mantha, Alexander Ngo, Andrea Choi, Eric Song, Similoluwa Olaniyi, Aidan Tran, Katherine Herbert, Aaron Quijije, Haley Shaw, Allison Gash, Shreyan Mitra, Andrew Ho, Christopher J. Kovacs, Car Reen Kok, , Andrew R. Kick

This study uses C. elegans to assess how bacteriophage treatment affects the gut microbiome during Pseudomonas aeruginosa infection, finding no significant changes in microbiome composition.

bioRxiv · Jul 16, 2026 · PreprintMicrobiology

Improved Identification of Large-effect Rare Genetic Variants using Haplotype Aggregated Allele-specific Expression Data

Kaushik Ram Ganapathy, Martin Broly, Sarah Silverstein, Marcela Mendoza, Eric Song, Bence Kotis, Paul Hoffman, Ali Torkamani, David R. Adams, Carsten G. Bönnemann, Tuuli Lappalainen, Pejman Mohammadi

ANEVA-h improves detection of rare regulatory variants by analyzing haplotype-level ASE data, increasing testable genes and reducing false positives in GTEx and clinical cohorts.

medRxiv · Dec 18, 2025 · PreprintGenetic & Genomic Medicine

Allele Specific Expression Quality Control Fills Critical Gap in Transcriptome Assisted Rare Variant Interpretation

Kaushik Ram Ganapathy, Eric Song, Daniel B. Munro, Ali Torkamani, Pejman Mohammadi

aseQC identifies low-quality samples in transcriptome data by quantifying allele-specific expression variation, improving rare variant interpretation.

bioRxiv · May 30, 2025 · PreprintBioinformatics