Author

Igor Šegota

Sanford Burnham Prebys Medical Discovery InstituteORCID 0000-0001-8168-6144Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Christina LudwigiD· 1 shared Matteo MoriiD· 1 shared Rohan BalakrishnaniD· 1 shared Ruedi H. AebersoldiD· 1 shared Tao LongiD· 1 shared Terence Hwa BiD· 1 shared Zhongge ZhangiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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1 shared paperSystems Biology

Christina LudwigORCID

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2 papers

Recent·Most cited

Systems BiologySciencePeer-reviewedDec 8, 2022

Principles of gene regulation quantitatively connect DNA to RNA and proteins in bacteria

Rohan Balakrishnan, Matteo Mori, Igor Šegota…·Terence Hwa B

This study quantifies how gene regulation in E. coli connects DNA to RNA and proteins under growth condition changes, revealing two principles governing protein allocation.

150 citationstop 1%

E. coliproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 4, 2019

A high-resolution pipeline for 16S-sequencing identifies bacterial strains in human microbiome

Igor Šegota, Tao Long

HiMAP improves bacterial strain identification in human microbiome 16S-sequencing data, achieving higher accuracy than existing pipelines.

9 citations

humanmetagenomics

𝕏 PostBluesky