Haja Kadarmideen

Professor, Head of Group of Quantitative Genomics, Bioinformatics and Computational Biology (QBC)

Technical University of Denmark

Denmark

Research Interests

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Articles (10)

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Year:

2020

Collaborators (3)

Jan Ole Bertelsen Secher

Københavns Universitet

DENMARK

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Priyanka Banerjee

Assistant Professor

Auburn University

UNITED STATES

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Henrik Callesen

Aarhus University

DENMARK

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Haja Kadarmideen

Research Interests

Contact this professor

Articles (10)

In vitro- and in vivo-produced male dairy calves show molecular differences in the hepatic and muscular energy regulation(dagger)

Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos

Epigenomic and transcriptomic analyses reveal early activation of the HPG axis in in vitro-produced male dairy calves

156 Epigenomics and transcriptomics of muscle and liver tissues from <i>in vitro-</i> and <i>in vivo</i>-produced dairy calves at 3 months of age.

Impact of IL-17F 7488T/C Functional Polymorphism on Progressive Rheumatoid Arthritis: Novel Insight from the Molecular Dynamic Simulations

Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.

Bovine in-vitro produced embryos: Development of embryo proper and associated membranes from day 26 to 47 of gestation

GeneDMRs: An R Package for Gene-Based Differentially Methylated Regions Analysis.

Machine learning approach to integrated endometrial transcriptomic datasets reveals biomarkers predicting uterine receptivity in cattle at seven days after estrous.

Interplay among miR-29 family, mineral metabolism, and gene regulation in Bos indicus muscle

Collaborators (3)

Jan Ole Bertelsen Secher

Priyanka Banerjee

Henrik Callesen

Make your next move.

Haja Kadarmideen

Research Interests

Contact this professor

Articles (10)

In vitro- and in vivo-produced male dairy calves show molecular differences in the hepatic and muscular energy regulation(dagger)

Application of multi-omics data integration and machine learning approaches to identify epigenetic and transcriptomic differences between in vitro and in vivo produced bovine embryos

Epigenomic and transcriptomic analyses reveal early activation of the HPG axis in in vitro-produced male dairy calves

156&#x2003;Epigenomics and transcriptomics of muscle and liver tissues from <i>in vitro-</i> and <i>in vivo</i>-produced dairy calves at 3 months of age.

Impact of IL-17F 7488T/C Functional Polymorphism on Progressive Rheumatoid Arthritis: Novel Insight from the Molecular Dynamic Simulations

Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.

Bovine in-vitro produced embryos: Development of embryo proper and associated membranes from day 26 to 47 of gestation

GeneDMRs: An R Package for Gene-Based Differentially Methylated Regions Analysis.

Machine learning approach to integrated endometrial transcriptomic datasets reveals biomarkers predicting uterine receptivity in cattle at seven days after estrous.

Interplay among miR-29 family, mineral metabolism, and gene regulation in Bos indicus muscle

Collaborators (3)

Jan Ole Bertelsen Secher

Priyanka Banerjee

Henrik Callesen

Make your next move.

156 Epigenomics and transcriptomics of muscle and liver tissues from <i>in vitro-</i> and <i>in vivo</i>-produced dairy calves at 3 months of age.