• Genomics & Informatics
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• v.14 no.4
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• pp.234-240
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• 2016

Different mechanisms, including transcriptional and post transcriptional processes, regulate tissue specific expression of genes. In this study, we report differences in gene/protein compositional features between apoptosis involved genes selectively expressed in human tissues. We found some correlations between codon/amino acid usage and tissue specific expression level of genes. The findings can be significant for understanding the translational selection on these features. The selection may play an important role in the differentiation of human tissues and can be considered for future studies in diagnosis of some diseases such as cancer.

• Genomics & Informatics
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• v.5 no.4
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• pp.194-195
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• 2007

We have constructed the Rice Genome Information Service System (RGISS), which is an information service system of the Oryza sativa L. ssp. japonica (rice) genome, using the released version of rice Build 3.0 pseudomolecules based on the Ensembl architecture. The nonredundant library, composed of 3,360 clones of BACs, PACs, and fosmids, was used to construct supercontigs. RGISS contains 50,717 annotated genes from GenBank, 56,161 predicted genes from FgeneSH, and information on 9,587 markers, which includes STS, SSR, and EST-based RFLP. The 20,180 ESTs sequenced by the Korea National Institute of Agricultural Biotechnology (NIAB) were aligned and mapped into 168,792 exons. By gene ontology analysis, the classified protein numbers in the rice genome were 6158, 4531, and 12,364 proteins, which were mapped to molecular function, cellular component, and biological process, respectively.

• Genomics & Informatics
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• v.1 no.1
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• pp.1-6
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• 2003

In conclusion, the seemingly fuzzy and disorganized data of biology with thousands of different layers ranging from molecule to the Internet have refused so far to be mapped precisely and predicted successfully by mathematicians, physicists or computer scientists. Genomics and bioinformatics are the fields that process such complex data. The insights on the nature of biological entities as complex interaction networks are opening a door toward a generalization of the representation of biological entities. The main challenge of genomics and bioinformatics now lies in 1) how to data mine the networks of the domains of bioinformatics, namely, the literature, metabolic pathways, and proteome and structures, in terms of interaction; and 2) how to generalize the networks in order to integrate the information into computable genomic data for computers regardless of the levels of layer. Once bioinformatists succeed to find a general principle on the way components interact each other to form any organic interaction network at genomic scale, true simulation and prediction of life in silico will be possible.

• Genomics & Informatics
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• v.10 no.4
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• pp.263-265
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• 2012

We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

• Genomics & Informatics
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• v.7 no.2
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• pp.131-135
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• 2009

Domains are the building blocks of proteins. Exon shuffling is an important mechanism accounting for combination of a limited repertoire of protein domains in the evolution of multicellular species. A relative excess of domains encoded by symmetric exons in metazoan phyla has been presented as evidence of exon shuffling, and symmetric domains can be divided into old and new domains by determining the ages of the domains. In this report, we compare the spread, versatility, and subcellular localization of old and new domains by analyzing eight metazoan genomes and their respective annotated proteomes. We found that new domains have been expanding as multicellular organisms evolved, and this expansion was principally because of increases in class 1-1 domains amongst several classes of domain families. We also found that younger domains have been expanding in membranes and secreted proteins along with multi-cellular organism evolution. In contrast, old domains are located mainly in nuclear and cytoplasmic proteins. We conclude that the increasing mobility and versatility of new domains, in contrast to old domains, plays a significant role in metazoan evolution, facilitating the creation of secreted and transmembrane multidomain proteins unique to metazoa.

• Genomics & Informatics
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• v.12 no.4
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• pp.171-180
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• 2014

Aberrant DNA methylation, as an epigenetic marker of cancer, influences tumor development and progression. We downloaded publicly available DNA methylation and gene expression datasets of matched cancer and normal pairs from the Cancer Genome Atlas Data Portal and performed a systematic computational analysis. This study has three aims to screen genes that show hypermethylation and downregulated patterns in colorectal cancers, to identify differentially methylated regions in one of these genes, SFRP1, and to test whether the SFRP genes affect survival or not. Our results show that 31 hypermethylated genes had a negative correlation with gene expression. Among them, SFRP1 had a differentially methylated pattern at each methylation site. We also show that SFRP1 may be a potential biomarker for colorectal cancer survival.

• Genomics & Informatics
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• v.9 no.2
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• pp.85-88
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• 2011

The National Agricultural Biotechnology Information Center (NABIC) constructed an agricultural biology-based infrastructure and developed a biological information-based database. The major functions of the NABIC are focused on biotechnological developments for agricultural bioinformatics and providing a web-based service to construct bioinformatics workflows easily, such as protein function prediction and genome systems biology programs. The NABIC has concentrated on the functional genomics of major crops, building an integrated biotechnology database for agro-biotech information that focuses on the proteomics of major agricultural resources, such as rice, Chinese cabbage, rice Ds-tagging lines, and microorganisms.

• Genomics & Informatics
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• v.9 no.2
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• pp.79-84
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• 2011

Two initial models of cold-adapted lipase PsLip1 have been constructed, based on homology with the bacterial lipases Chromobacterium viscosum (CvLip) and Pseudomonas cepacia (PcLip), whose X-ray structures have been solved and refined to high resolution. The mature polypeptide chains of these lipases have 84% similarity. The models of Mod1 and Mod2 have been compared with the tertiary structures of CvLip and PcLip, respectively, and analyzed in terms of stabilizing interactions. Several structural aspects that are believed to contribute to protein stability have been compared: the number of conserved salt bridges, aromatic interactions, hydrogen bonds, helix capping, and disulfide bridges. The 3-dimensional structural model of PsLip1 has been constructed in order to elucidate the structural reasons for the decreased thermostability of the enzyme in comparison with its mesophilic counterparts.

• Genomics & Informatics
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• v.6 no.3
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• pp.157-159
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• 2008

Multiple sequence alignment (MSA) is the most important step for many of biological sequence analyses, homology search, and protein structural assignments. However, large amount of data make biologists difficult to perform MSA analyses and it requires much computational time to align many sequences. Here, we have developed a simple and fast web alignment tool for aligning, editing, and visualizing large amount of sequence data. We used a cluster server installed ClustalW-MPI using web services and message passing interface (MPI). It also enables users to edit multiple sequence alignments for manual editing and to download the input data and results such as alignments and phylogenetic tree.

• Genomics & Informatics
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• v.4 no.2
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• pp.57-64
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• 2006

We identified differentially expressed genes in RAW264.7 cells in response to single and double ligand treatments (LPS, $IFN{\gamma}$, 2MA, LPS plus $IFN{\gamma}$, and LPS plus 2MA). The majority of the regulated transcripts responded additively to dual ligand treatment. However, a significant fraction responded in a non-additive fashion. Several cytokines showing non-additive transcriptional responses to dual ligand treatment also showed non-additive protein production/secretion responses in separately performed experiments. Many of the genes with non-additive responses to LPS plus 2MA showed enhanced responses and encoded pro-inflammatory proteins. LPS plus $IFN{\gamma}$ appeared to induce both non-additive enhancement and non-additive attenuation of gene expression. The affected genes were associated with a variety of biological functions. These experiments reveal both dependent and independent regulatory pathways and point out the specific nature of the regulatory interactions.