Author

Alessandro Lisi

University of Southern California

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· 3 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:whole-genome sequencing· 3 Research Focus:differential expression· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Michael C. CampbelliD· 4 shared Alessio BoattiniiD· 1 shared Carla Maria CalòiD· 1 shared Christopher N. CrossiD· 1 shared Cinzia Battaggia· 1 shared Faith C. Simmonds· 1 shared Giovanni Destro‐BisoliD· 1 shared Giuseppe Vona· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersBioinformatics

Michael C. CampbellORCID

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Author profile →

5 papers

Recent·Most cited

The evolutionary landscape of host immunity genes involved in respiratory and other immune-related diseases, and their association with severe COVID-19 outcomes

Christopher N. Cross, Alessandro Lisi, Faith C. Simmonds, Kareem N. Washington, Thomas Heinbockel, Michael C. Campbell

The paper analyzes four immunity genes associated with severe COVID-19 and other immune-related diseases, identifying SNPs under positive selection and their association with disease severity.

medRxiv · Aug 28, 2025 · PreprintGenetic & Genomic Medicine

Polaris: Polarization of ancestral and derived polymorphic alleles for inferences of extended haplotype homozygosity in human populations.

Alessandro Lisi, Michael C. Campbell

Polaris polarizes alleles into ancestral and derived categories, enabling accurate haplotype homozygosity analysis for detecting selection signals in genomic datasets.

Bioinformatics · Apr 11, 2025Peer-reviewedBioinformatics

CLUES2 Companion: Computational pipelines to estimate, visualize, and date selection on multi-locus sites

Alessandro Lisi, Michael C. Campbell

CLUES2 Companion provides pipelines to estimate selection coefficients and date selective sweeps using genomic data from multiple populations.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedBioinformatics

AncestryGrapher toolkit: Python command-line pipelines to visualize global- and local- ancestry inferences from the RFMix2 software

Alessandro Lisi, Michael C. Campbell

The paper introduces AncestryGrapher, a toolkit to visualize global and local ancestry inferences from RFMix2, applied to the Mozabite Berber population.

bioRxiv · Dec 29, 2023 · PreprintBioinformatics

Inter-individual genomic heterogeneity within European population isolates

Paolo Anagnostou, Valentina Dominici, Cinzia Battaggia, Alessandro Lisi, Stefania Sarno, Alessio Boattini, Carla Maria Calò, Paolo Francalacci, Giuseppe Vona, Sergio Tofanelli, Miguel G. Vilar, Vincenza Colonna, Luca Pagani, Giovanni Destro‐Bisol

The paper analyzes genomic heterogeneity within European population isolates and finds that inter-individual variation is comparable to non-isolated populations, with some isolates showing higher levels due to recent introgression.

PLoS ONE · Oct 9, 2019Peer-reviewedGenomics