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url url url url
  2. Weltenzyklopädie
  3. دانشنامه ژن و ژنوم کیوتو - ویکی‌پدیا، دانشنامهٔ آزاد
دانشنامه ژن و ژنوم کیوتو - ویکی‌پدیا، دانشنامهٔ آزاد
از ویکی‌پدیا، دانشنامهٔ آزاد
(تغییرمسیر از KEGG)
دانشنامه ژن و ژنوم کیوتو
محتوا
توضیحBioinformatics resource for deciphering the genome.
ارگانیسم‌هاAll
تماس
مرکز پژوهشدانشگاه کیوتو
آزمایشگاهKanehisa Laboratories
استناد ابتداییPMID 10592173
تاریخ انتشار۱۹۹۵
دسترسی
وب‌گاهwww.kegg.jp
نشانی اینترنتی خدمات وبانتقال بازنمودی حالت see KEGG API
ابزارها
وبKEGG Mapper

دانشنامه ژن و ژنوم کیوتو یا به اختصار KEGG پایگاه داده‌ای مربوط به اطلاعات زیستی است که نخستین بار توسط مینورور کانهیزا پروفسور در انستیتو تحقیقات شیمی در دانشگاه کیوتو در سال ۱۹۹۵ همزمان با پروژه ژنوم درست شد.[۱][۲] به منظور استفاده از تحلیل کامپیوتری برای تفسیر نتایج حاصل از پروژه ژنوم مینورور کانهیزا ساخت KEGG patheay را آغاز کرد. در این پایگاه داده توسط دانش به دست آمده از آزمایش‌های مختلف، نقشه و مسیرهای متابولیکی ترسیم شده است و همچنین تعدادی عملکرد سلول و ارگانیزم‌ها نیز به صورت جزئی به تصویر کشیده شده است. در هر نقشه شامل یکسری واکنش بین بیومولکولهای مختلف است که طوری طراحی شده است که از این نقشه می‌شود اطلاعاتی راجع به ژن‌ها و پروتئین‌های دخیل در آن آگاهی یافت. در این دیتابیس می‌توان مسیرهای مختلف را با هم مقایسه و و تحلیل کنیم و به‌طور کلی از آن‌ها اطلاعات سودمندی استخراج کنیم.

بر طبق نظر سازنده، KEGG به صورت یک «کامپیوتر ارائه‌دهنده» سیستم‌های بیولوژیکی است.[۳] این دیتابیس به صورت فعال دیاگرام‌ها و واحدهایی متصل به هم را ایجاد می‌کند، که به‌طور مخصوص دیاگرام‌هایی برای ژن‌ها و عملکرد پروتئین‌های مرتبط، واکنش‌های بین مولکول‌های مختلف و ایجاد یک شبکه مرتبط به هم است.[۴]

منابع

  1. ↑ Kanehisa M, Goto S (2000). "KEGG: Kyoto Encyclopedia of Genes and Genomes". Nucleic Acids Res. 28 (1): 27–30. doi:10.1093/nar/28.1.27. PMC 102409. PMID 10592173.
  2. ↑ Kanehisa M (1997). "A database for post-genome analysis". Trends Genet. 13 (9): 375–6. doi:10.1016/S0168-9525(97)01223-7. PMID 9287494.
  3. ↑ Kanehisa M, Goto S, Hattori M, Aoki-Kinoshita KF, Itoh M, Kawashima S, Katayama T, Araki M, Hirakawa M (2006). "From genomics to chemical genomics: new developments in KEGG". Nucleic Acids Res. 34 (Database issue): D354–7. doi:10.1093/nar/gkj102. PMC 1347464. PMID 16381885.
  4. ↑ Kanehisa M, Goto S, Sato Y, Kawashima M, Furumichi M, Tanabe M (2014). "Data, information, knowledge and principle: back to metabolism in KEGG". Nucleic Acids Res. 42 (Database issue): D199–205. doi:10.1093/nar/gkt1076. PMC 3965122. PMID 24214961.
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