Author

Bita Khalili

SIB Swiss Institute of BioinformaticsORCID 0000-0001-5630-1812Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Assay:metabolomics· 3 Approach:benchmark study· 2 Research Focus:differential expression· 2 Research Focus:GWAS / association mapping· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Sven BergmanniD· 4 shared Rico RueediiD· 3 shared Mattia TomasoniiD· 2 shared Zoltán KutalikiD· 2 shared Abdel AbdellaouiiD· 1 shared Alejandra N Gonzalez-BeltraniD· 1 shared Alex S. F. KwongiD· 1 shared Alexander TeumeriD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersBioinformatics

Sven BergmannORCID

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4 papers

Recent·Most cited

GeneticsbioRxivPreprintJan 9, 2024

Associations between common genetic variants and income provide insights about the socioeconomic health gradient

Hyeokmoon Kweon, Casper A.P. Burik, Yuchen Ning…·Philipp Koellinger

This study identifies genetic variants associated with income and shows they correlate with health outcomes and educational attainment.

5 citations

humanGWAS summary statistics

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GenomicsbioRxivPreprintMay 22, 2020

Untargeted metabolome- and transcriptome-wide association study identifies causal genes modulating metabolite concentrations in urine

Reyhan Sönmez Flitman, Bita Khalili, Zoltán Kutalik…·Sven Bergmann

This study identifies causal genes modulating urine metabolite concentrations by integrating metabolomics and transcriptomics data through mQTL analysis and Mendelian randomization.

1 citation

humanbulk RNA-seq

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BioinformaticsJournal of Proteome ResearchPeer-reviewedJul 18, 2019

Automated analysis of large-scale NMR data generates metabolomic signatures and links them to candidate metabolites

Bita Khalili, Mattia Tomasoni, Mirjam Mattei…·Sven Bergmann

The paper evaluates three NMR analysis tools for metabolite identification in human urine, finding ISA and ACP robustly identify metabolites while PCA fails.

8 citations

humanmetabolomics

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BioinformaticsGigaSciencePeer-reviewedDec 7, 2018

PhenoMeNal: Processing and analysis of Metabolomics data in the Cloud

Kristian Peters, James Bradbury, Sven Bergmann…·Christoph Steinbeck

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

150 citationstop 1%

metabolomicsstatistical model

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