Author

Lior Fishman

Hebrew University of JerusalemORCID 0000-0001-7985-7143Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Organism:zebrafish· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Michal RabaniiD· 2 shared Amir EdeniD· 1 shared Aviv RegeviD· 1 shared Benjamin P. BermaniD· 1 shared De‐Chen LiniD· 1 shared Devorah Schlesinger· 1 shared Dina Alcalay· 1 shared Dror BariD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersSystems Biology

Michal RabaniORCID

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3 papers

Recent·Most cited

Systems BiologybioRxivPreprintJun 27, 2024

A comparative analysis across species of maternal mRNA regulation in embryos using QUANTA

Mazal Tawil, Dina Alcalay, Pnina Greenberg…·Michal Rabani

The paper analyzes maternal mRNA regulation across species using QUANTA, finding that polyadenylation precedes degradation and rates vary with developmental pace and 3UTR sequences.

DOI 10.1101/2024.06.27.600954

zebrafishmouse

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GenomicsbioRxivPreprintApr 20, 2023

Single-cell temporal dynamics reveals the relative contributions of transcription and degradation to cell-type specific gene expression in zebrafish embryos

Lior Fishman, Gal Nechooshtan, Florian Erhard…·Michal Rabani

The paper quantifies transcription and degradation rates of mRNA in zebrafish embryos to understand their roles in cell-type specific gene expression.

18 citations

zebrafishscRNA-seq

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GenomicsbioRxivPreprintAug 16, 2022

A local sequence signature defines a subset of heterochromatin-associated CpGs with minimal loss of methylation in healthy tissues but extensive loss in cancer

Dror Bar, Lior Fishman, Yueyuan Zheng…·Benjamin P. Berman

The paper identifies a sequence signature that predicts CpG methylation loss in healthy tissues and cancer, revealing slow-loss CpGs with minimal methylation loss in health but significant loss in cancer.

4 citations

humanDNA methylation

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