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Kathleen Marchal

ASSOCIATE PROFESSOR

Universiteit Gent

Belgium

Research Interests

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About

Kathleen Marchal is an Associate Professor at Universiteit Gent, Belgium. Her research interests encompass the quantification of splicing in single-cell RNA sequencing, digital profiling of gene expression from histology images, and the benchmarking of taxonomic classification in metagenomics. Additionally, she investigates strain-level characterization of foodborne pathogens and the prediction of MHC class I and II genotypes from next-generation sequencing data.

Articles (22)

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Collaborators (6)

Neil Merrett

Professor

University of Western Sydney

AUSTRALIA

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Jan Fostier

BELGIUM

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Roel Wuyts

Professor (parttime)

KU Leuven

BELGIUM

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Niko Beerenwinkel

Prof.

ETH Zurich

SWITZERLAND

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Jimmy Van den Eynden

Associate Professor

Universiteit Gent

BELGIUM

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Nancy H C J Roosens

Head of service

Sciensano (Belgium)

BELGIUM

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Kathleen Marchal

Research Interests

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About

Articles (22)

ELLIPSIS: robust quantification of splicing in scRNA-seq

Benchmarking bacterial taxonomic classification using nanopore metagenomics data of several mock communities

Digital profiling of cancer transcriptomes from histology images with grouped vision attention

Strain-level characterization of foodborne pathogens without culture enrichment for outbreak investigation using shotgun metagenomics facilitated with nanopore adaptive sampling

Strain-level characterization of foodborne pathogens without culture enrichment for outbreak investigation using shotgun metagenomics facilitated with nanopore adaptive sampling

smartSim: simulation of splice aware single cell smart-seq3 data

Digital profiling of gene expression from histology images with linearized attention

Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data

Using a combination of short- and long-read sequencing to investigate the diversity in plasmid- and chromosomally encoded extended-spectrum beta-lactamases (ESBLs) in clinical Shigella and Salmonella isolates in Belgium

Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing (vol 52, pg 331, 2020)

Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data

Competitive interactions facilitate resistance development against antimicrobials

Development of a portable on-site applicable metagenomic data generation workflow for enhanced pathogen and antimicrobial resistance surveillance

Expression divergence of expansin genes drive the heteroblasty in <i>Ceratopteris chingii</i>

Antibiotic Cycling Affects Resistance Evolution Independently of Collateral Sensitivity

Metagenomics to Detect and Characterize Viruses in Food Samples at Genome Level? Lessons Learnt from a Norovirus Study

BLSSpeller to discover novel regulatory motifs in maize

OMEN: network-based driver gene identification using mutual exclusivity

Extracting functional insights from loss-of-function screens using deep link prediction

Halvade somatic: Somatic variant calling with Apache Spark

Comparative transcriptome analysis of two maize genotypes with different tolerance to salt stress

Evolution of isoform‐level gene expression patterns across tissues during lotus species divergence

Collaborators (6)

Neil Merrett

Jan Fostier

Roel Wuyts

Niko Beerenwinkel

Jimmy Van den Eynden

Nancy H C J Roosens

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