With the rise of the advanced high throughput technologies in molecular biology, the applications of bioinformatics are widely needed for the biological data analysis and management.
Our services mainly focus on three key areas:
Our core has provided in-depth data analysis services and research supports to our users in various research projects, including chromosome biology, developmental biology, infection and immunobiology, Neuroscience, Plant Biology, RNA Biology, Structural Biology, and Systems Biology, and more. Our team work closely with users to analyze, interpret, and distribute scientific discoveries derived from the analysis of high-throughput data. In addition, we also provide the high-performance computational resources (linux cluster servers) for all IMB labs to conduct their own bioinformatics analysis.
In conclusion, the objective of the IMB Bioinformatics Core is to provide all IMB researchers with up-to-date bioinformatics and computational expertise to ensure the comprehensive supports in all phases of biological researchs.
User Satisfaction (/5)
Genome Variant Calling
ChIP-Seq and ATAC-Seq
Protein structure prediction
Custom NGS Analyses
Protein Structural Analysis
Project viewer is a user-friendly platform to upload data, track progress and discuss results. It is particular useful for viewing pasted projects.Read More
The cloud-based Bioinformatics apps for RNA-Seq analysis, variant filtering, and enrichment analysis.Read More
A documentary website for Bioinformatics training and resourcesRead More
an interactive web server for the prediction of RNA splicing in human, and a searchable database of collected splicing variants carried out by our prediction tool.Read More
A protein structure prediction server was built for IMB users based on AlphaFold2 and RoseTTAFold model.Read More
1. Hong, G.C., C.H. Tsai, and W. Chang, Experimental Evolution To Isolate Vaccinia Virus Adaptive G9 Mutants That Overcome Membrane Fusion Inhibition via the Vaccinia Virus A56/K2 Protein Complex. Journal of Virology, 2020. 94(10).
2. Li, W.-C., et al., Third-generation sequencing-based mapping and visualization of single nucleotide polymorphism, meiotic recombination, illegitimate mutation and repeat-induced point mutation. NAR Genomics and Bioinformatics, 2020. 2(3).
3. Li, W.C., et al., Trichoderma reesei Rad51 tolerates mismatches in hybrid meiosis with diverse genome sequences. Proceedings of the National Academy of Sciences of the United States of America, 2021. 118(8).
4. Yeh, C.W., et al., The C-degron pathway eliminates mislocalized proteins and products of deubiquitinating enzymes. Embo Journal, 2021.
余承欣 (Albert), Ph.D.
林信男 (Arith), Ph.D.
葉坤海 (Eason), M.S.
劉謹禎 (Vicky), M.S.
(02) 2789-9965 / 2789-9967
Institute of Molecular Biology