Qingtian Gong
A5088701980- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Computational Drug Discovery Methods
- RNA Research and Splicing
- Cancer-related molecular mechanisms research
- Advanced Proteomics Techniques and Applications
- Protein Structure and Dynamics
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Fudan University
2012-2016
State Key Laboratory of Genetic Engineering
2015-2016
Automated annotation of protein function is challenging. As the number sequenced genomes rapidly grows, overwhelming majority products can only be annotated computationally. If computational predictions are to relied upon, it crucial that accuracy these methods high. Here we report results from first large-scale community-based critical assessment (CAFA) experiment. Fifty-four representing state art for prediction were evaluated on a target set 866 proteins 11 organisms. Two findings stand...
A major bottleneck in our understanding of the molecular underpinnings life is assignment function to proteins. While experiments provide most reliable annotation proteins, their relatively low throughput and restricted purview have led an increasing role for computational prediction. However, assessing methods protein prediction tracking progress field remain challenging.We conducted second critical assessment functional (CAFA), a timed challenge assess that automatically assign function....