{"id":12,"date":"2012-04-20T16:56:23","date_gmt":"2012-04-20T07:56:23","guid":{"rendered":"http:\/\/nagasakilab.csml.org\/en\/?page_id=12"},"modified":"2023-12-21T14:36:13","modified_gmt":"2023-12-21T05:36:13","slug":"mission","status":"publish","type":"page","link":"https:\/\/nagasakilab.csml.org\/en\/mission","title":{"rendered":"Research"},"content":{"rendered":"
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Our research is aiming to make distinct contributions in both methodological and practical aspects of the present-day “Big Data” science, especially biomedical science. We analyze diverse and heterogeneous types of genomic and biomedical data to find new knowledge and insights. Utilizing supercomputing resources, informatics and statistics approaches are used for the analysis. Over a decade ago, the representative human genome was sequenced relying on the efforts of many researchers worldwide and cost of more than one billion dollars. Nowadays, however, personal genomes are being sequenced more easily and faster at lower cost. This situation means that novel methodological advances are absolutely required for the integration and analysis of individual genomes, omics, and biomedical information (e.g., physiological and clinical information). On the basis of this view, faculty staffs majoring in bioinformatics, statistical mathematics, population genetics, and molecular evolutionary biology are actively conducting research in our laboratory. Graduate students can conduct their research in advanced computer science, massive data analysis, statistical modeling, algorithm\/software development, etc., with our laboratory members. We turn out individuals who can solve flood of biomedical information from the data-driven science point of view.<\/p>\n

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Whole genome analysis on supercomputer and direction of preventive medicine<\/p><\/div>\n

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\u201cBig\u201d data analysis and knowledge discovery<\/p><\/div>\n

Biological and Medical Keywords <\/strong><\/p>\n

Population Genetics \/ Statistical Genetics \/ Human Genetic Variation
\nHuge Scale Data Processing \/ High Performance Computing \/ Data-driven Knowledge Discovery
\nMulti-Omics Approach \/ Mitochondrial Disease \/ Preventive Medicine<\/p>\n

Information Science <\/strong><\/p>\n

Otimization \/ Parameter Estimation
\nDiscovery Science \/ Data Mining
\nModeling \/ Petri net
\nFormat \/ XML \/ Ontology \/ OWL
\nData Structure and algorithm
\nModel Validation\/ Model Checking\/ Data Assimilation \/ Model Selection
\nDatabase
\nVisualization \/ Graph layout Algorithm
\nHigh performance computing \/ Cloud computing
\nSoftware Development<\/p>\n

Bioinformatics, Systems Biology related keywords<\/strong><\/p>\n

HiT-seq pipeline development
\nHiT-seq (DNA\/RNA\/ChIP Sequence) Analysis
\nMetabolic Pathway \/ Signal Transduction Pathway \/ Gene Regulatory Network
\nBiological Pathway Modeling and Simulation
\nGene Expression Analysis
\nPathway Database
\nPathway Layout Algorithm
\nPathway Data Assimilation
\nPathway Model Validation and Checking<\/p>\n

IT keywords<\/strong><\/p>\n

Java \/ Python \/ Lustre \/ Xen \/ VMWare \/ WebSocket \/ javascript
\nhtml5 \/ canvas \/ php \/ tomcat \/ hibernate \/ eclipse \/ scala
\nmysql \/ postgresql \/ oracle grid engine<\/p>\n

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Our research is aiming to make distinct contributions in both methodological and practical aspects of the present-day “Big Data” science, especially biomedical science. We analyze diverse and heterogeneous types of genomic and biomedical data to find new knowledge and insights. … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"passster_activate_protection":false,"passster_protect_child_pages":"","passster_protection_type":"password","passster_password":"","passster_activate_overwrite_defaults":"","passster_headline":"","passster_instruction":"","passster_placeholder":"","passster_button":"","passster_id":"","passster_activate_misc_settings":"","passster_redirect_url":"","passster_hide":"no","passster_area_shortcode":"","footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":23,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/12\/revisions"}],"predecessor-version":[{"id":841,"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/pages\/12\/revisions\/841"}],"wp:attachment":[{"href":"https:\/\/nagasakilab.csml.org\/en\/wp-json\/wp\/v2\/media?parent=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}