Tianyuan Liu

Computational Genomics Researcher
Institute for Integrative Systems Biology, Spanish National Research Council
Valencia, Spain

About

I am a computational genomics researcher specializing in long-read sequencing technologies and transcriptome analysis. Currently pursuing my PhD at the Institute for Integrative Systems Biology, Spanish National Research Council (CSIC-UV) in Valencia, Spain, under the supervision of Dr. Ana Conesa.

My research focuses on developing computational methods for analyzing long-read RNA sequencing data, with particular expertise in isoform regulatory biology and multiomics integration. I am passionate about advancing our understanding of transcriptome complexity through innovative computational approaches.

As part of the LongTREC (Long-read Transcriptomics Research and Education Consortium) Marie Skłodowska-Curie Actions program, I work on cutting-edge research that bridges computational biology and experimental genomics.

Long-Read Sequencing

Third-generation sequencing technologies and their applications in transcriptomics

Multiomics Integration

Integrating diverse omics data to understand biological systems

Tool Development

Creating computational tools for genomics research

Research Focus

My research centers on "Long reads multiomics methods to understand isoform regulatory biology", where I develop and apply computational methods to analyze transcriptome complexity using third-generation sequencing technologies.

Key Research Areas

Selected Publications

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

FJ Pardo-Palacios, A Arzalluz-Luque, L Kondratova, P Salguero, J Mestre-Tomás, R Amorín, E Estevan-Morió, T Liu, et al.

Nature Methods 21 (5), 793-797, 2024

Major tool for quality control and curation of long-read transcriptomes.

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

FJ Pardo-Palacios, D Wang, F Reese, M Diekhans, S Carbonell-Sala, ..., T Liu, ..., A Conesa

Nature Methods 21 (7), 1349-1363, 2024

Comprehensive benchmarking study of long-read RNA sequencing methods.

SQANTI-SIM: a simulator of controlled transcript novelty for lrRNA-seq benchmark

J Mestre-Tomás, T Liu, F Pardo-Palacios, A Conesa

Genome Biology 24 (1), 286, 2023

Simulation tool for benchmarking long-read RNA sequencing methods.

PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases

T Liu, P Salguero, M Petek, C Martinez-Mira, L Balzano-Nogueira, A Conesa, et al.

Nucleic Acids Research 50 (W1), W551-W559, 2022

Web-based platform for multi-omics data integration and pathway analysis.

Transcriptional differences for COVID-19 disease map genes between males and females indicate a different basal immunophenotype relevant to the disease

T Liu, L Balzano-Nogueira, A Lleo, A Conesa

Genes 11 (12), 1447, 2020

Analysis of sex-specific differences in COVID-19 related gene expression.

MirCure: a tool for quality control, filter and curation of microRNAs of animals and plants

G Ylla, T Liu, A Conesa

Bioinformatics 36 (Supplement_2), i618-i624, 2020

Quality control tool for microRNA analysis.

Profiling the epigenome using long-read sequencing

T Liu, A Conesa

Nature Genetics 57 (1), 27-41, 2025

A comprehensive review of long-read sequencing methods for epigenome analysis.

Transcriptomics in the era of long-read sequencing

Carolina Monzó, T Liu & A Conesa

Nature Reviews Genetics, 2025

A comprehensive overview of transcriptomics applications using long-read sequencing technologies.

Projects

Major Projects

PaintOmics 4

An advanced web-based platform for integrative analysis of multi-omics datasets with support for multiple pathway databases. Enables comprehensive visualization and analysis of complex biological data.

Technologies: JavaScript, Web-based interface, Multi-omics integration

View on GitHub

MirCure

A specialized tool for microRNA quality control, filtering, and curation in both animals and plants. Provides comprehensive analysis capabilities for miRNA research.

Language: R, Bioinformatics pipeline

View on GitHub

DeCovid

A tool for conducting wide-spread transcriptional analysis for COVID-19 Disease Map genes. Provides information on gene expression differences between demographic groups using GTEx project data.

Features: Differential expression analysis, GO enrichment, Interactive web interface

View on GitHub

Participating Projects

SQANTI3

A comprehensive quality control and curation pipeline for long-read transcriptomes. SQANTI3 enables accurate identification of known and novel isoforms through extensive annotation and filtering capabilities.

Contribution: Report generation and documentation

View on GitHub

SQANTI-SIM

A simulator of controlled transcript novelty for long-read RNA-seq benchmarking. Essential tool for evaluating and comparing different long-read analysis methods.

Contribution: Added PBSIM integration to the simulation framework

View on GitHub

Experience

2023 - Present

PhD Student & Early Stage Researcher

Institute for Integrative Systems Biology, Spanish National Research Council (CSIC-UV), Valencia, Spain

Conducting research on long-read multiomics methods under the LongTREC Marie Skłodowska-Curie Actions program. Supervised by Dr. Ana Conesa.

  • Developing computational methods for isoform regulatory biology
  • Contributing to major software projects like SQANTI3
  • Collaborating with international research networks
2019-2020

Research Experience

University of Florida, Genetics Institute

Working with Dr. Ana Conesa and Dr. Guillem Ylla in MirCure project, focusing on microRNA quality control and curation methods.

2016-2020

Bachelor of Engineering in Bioengineering

Huazhong Agricultural University (HZAU)

Comprehensive education in bioengineering with focus on computational biology and bioinformatics applications.

Technical Skills

Programming Languages

Python R JavaScript HTML/CSS Bash/Shell

Tools & Technologies

PacBio Oxford Nanopore Bioconductor Docker Git/GitHub Nextflow Conda/Mamba

Data Analysis

Statistical Analysis Machine Learning Data Visualization Pipeline Development Reproducible Research

Contact

Contact Information

Email: tianyuan.liu@csic.es

Location: Valencia, Spain

Institution: Spanish National Research Council (CSIC)

Online Presence