- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Plant Molecular Biology Research
- Cancer Genomics and Diagnostics
- Genetics, Bioinformatics, and Biomedical Research
- Cocoa and Sweet Potato Agronomy
- Algorithms and Data Compression
- Biomedical Text Mining and Ontologies
- Research Data Management Practices
- Natural Language Processing Techniques
- Plant pathogens and resistance mechanisms
Korea Research Institute of Bioscience and Biotechnology
2016-2024
Hibiscus syriacus (L.) (rose of Sharon) is one the most widespread garden shrubs in world. We report a draft H. genome comprised 1.75 Gb assembly that covers 92% with only 1.7% (33 Mb) gap sequences. Predicted gene modeling detected 87,603 genes, mostly supported by deep RNA sequencing data. To define family distribution among relatives syriacus, orthologous sets containing 164,660 genes 21,472 clusters were identified OrthoMCL analysis five plant species, including Arabidopsis thaliana,...
A wave of new technologies has created opportunities for the cost-effective generation high-throughput profiles biological systems, foreshadowing a "data-driven science" era. The large variety data available from research is also rich resource that can be used innovative endeavors. However, we are facing considerable challenges in big deposition, integration, and translation due to complexity its production at unprecedented exponential rates. To address these problems, 2020, Korean...
Abstract During the last decade, generation and accumulation of petabase-scale high-throughput sequencing data have resulted in great challenges, including access to human data, as well transfer, storage, sharing enormous amounts data. To promote data-driven biological research, Korean government announced that all generated from government-funded research projects should be deposited at Korea BioData Station (K-BDS), which consists multiple databases for individual types. Here, we introduce...
The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and ensuing computational problems. In Korea, the amount genomic been increasing rapidly recent years. Leveraging these big requires researchers to use large-scale resources analysis pipelines. A promising solution for addressing this challenge is cloud computing, where CPUs, memory, storage, programs are accessible form virtual machines. Here, we present a computing-based system, Bio-Express,...
Abstract During the last decade, generation and accumulation of petabase-scale high-throughput sequencing data have resulted in ethical technical challenges, including access to human data, transfer, storage, sharing enormous amount data. To promote data-driven research biology, Korean government announced that all biological generated from government-funded projects should be deposited Korea BioData Station (K-BDS), which consists multiple databases for individual types. We introduce...
Functional analyses of genes are crucial for unveiling biological responses, genetic engineering, and developing new medicines. However, functional have largely been restricted to model organisms, representing a major hurdle studies industrial applications. To resolve this, comparative genome can be used provide clues gene functions as well their evolutionary history. this end, we present Prometheus, web-based omics portal that contains more than 17,215 sequences from prokaryotic eukaryotic...
Abstract Functional analyses of genes are crucial for unveiling biological responses, genetic engineering, and developing new medicines. However, functional have largely been restricted to model organisms, representing a major hurdle studies industrial applications. To resolve this, comparative genome can be used provide clues gene functions as well their evolutionary history. this end, we present Prometheus ( http://prometheus.kobic.re.kr ),web-based omics portal that contains more than...