ライフサイエンスデータベースの現状 〜データベース統合化のための技術的・政治的側面〜
Japan Museum Bioinformatics (Museomics) Working Group 第2回会合@東工大・緑が丘キャンパス
https://sites.google.com/site/museumbioinfo/meetings/201410xx
#museomejp
ライフサイエンスデータベースの現状 〜データベース統合化のための技術的・政治的側面〜
Japan Museum Bioinformatics (Museomics) Working Group 第2回会合@東工大・緑が丘キャンパス
https://sites.google.com/site/museumbioinfo/meetings/201410xx
#museomejp
20151104 health2.0 in Japan - clinical big data and subjectsNaotoKume
Japanese slides:
Current state of EHR development in Japan. Nation-wide EHR.
医療現場にあるビッグデータとその課題
Health 2.0 Day1
https://health2.medpeer.co.jp/program.html#A04
Test slide for the lab - Target prioritization Maori Ito
This document discusses candidate gene prioritization for large-scale experiments. It notes that there are challenges in combining available information from different data sources due to lack of annotations for individual genes. The process involves taking many candidate genes as input and applying integrated knowledge discovery to output a smaller number of selected target genes.
This presentation discusses ways to improve biomedical database search services through the use of semantic web technologies like schema.org and metadata tagging. It explains how marking up database entries with metadata and declaring vocabularies allows search engines to better understand and return more informative results for biomedical queries. The presentation provides examples of how Sagace and other search collaboration organizations are already reflecting semantic metadata in their results.
Life Science Database Cross Search and MetadataMaori Ito
Life science databases are sometimes difficult to understand due to lack of information. I'd like to add metadata into databases and improve search results.