Gyorgy Hutvagner

University of Sydney

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Articles (18)

Collaborators (7)

Dan Catchpoole

Sarah Bajan

University of the Sunshine Coast

Thuy-Anh Bui

wei deng

University of New South Wales

Elizabeth Harry

Professor of Biology

University of Sydney

Christopher Smith

Children's Cancer Institute Australia

Jinyan Li

University of Sydney

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Gyorgy Hutvagner

Research Interests

Explore related searches

Contact this professor

Articles (18)

Collaborators (7)

Dan Catchpoole

Sarah Bajan

Thuy-Anh Bui

wei deng

Elizabeth Harry

Christopher Smith

Jinyan Li

Make your next move.

Gyorgy Hutvagner

Research Interests

Explore related searches

Contact this professor

Articles (18)

Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.

Prognostic relevance of AGO2 expression in adrenocortical carcinoma (ACC): associations with clinicopathological features

Advancements in gene therapies targeting mutant KRAS in cancers.

MiRNAs from the Dlk1-Dio3 locus and miR-224/452 cluster contribute to glioblastoma tumor heterogeneity

Generating mutants of monotone affinity towards stronger protein complexes through adversarial learning

AGO2 protein: identified as a potential multi-cancer detection biomarker by integrative transcriptome and proteome analyses

Exploring the Potential and Challenges of CRISPR Delivery and Therapeutics for Genetic Disease Treatment

AGO2 protein: a key enzyme in the miRNA pathway as a novel biomarker in adrenocortical carcinoma.

Cell-penetrating peptides containing the progesterone receptor polyproline domain inhibits EGF signaling and cell proliferation in lung cancer cells

Density-based detection of cell transition states to construct disparate and bifurcating trajectories.

Simultaneous compression of multiple error-corrected short-read sets for faster data transmission and better de novo assemblies.

A comparative analysis of single cell small RNA sequencing data reveals heterogeneous isomiR expression and regulation.

Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer

Cataloguing the small RNA content of honey using next generation sequencing

Aberration-corrected ultrafine analysis of miRNA reads at single-base resolution: a k-mer lattice approach.

Single-cell multi-omics sequencing: application trends, COVID-19, data analysis issues and prospects

Instance-based error correction for short reads of disease-associated genes

Author Correction: Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer

Collaborators (7)

Dan Catchpoole

Sarah Bajan

Thuy-Anh Bui

wei deng

Elizabeth Harry

Christopher Smith

Jinyan Li

Make your next move.