Biology版 - Mosaic Release Announcement(不是广告,请大家测试) |
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c***3 发帖数: 251 | 1 We are pleased to announce the first beta release of the Mosaic plugin. This
is the first of a suite of plugins under development for annotating,
analyzing and visualizing networks with Gene Ontology terms. Mosaic uses
all three branches of GO to:
* Partition into subnetworks based on Biological Process terms
* Layout each subnetwork using a cellular template based on Cellular
Component terms
* Color nodes based on Molecular Function terms
Start with a network having any standard gene identifiers and Mosaic will
retrieve GO annotations ("full" or "slim" versions) and then perform the
partitioning, layout and coloring with a single click. Find more details and
download the jar file from:
http://nrnb.org/tools/mosaic
This work was developed as a collaboration between the National Resource for
Network Biology http://nrnb.org, the University of Missouri, and Columbia University, funded by Google Summer of Code and NIH RR031228. We'd also like to acknowledge preceding work on BubbleRouter and GOLayout as open source plugins developed in collaboration with Agilent Technologies. | v*********d 发帖数: 382 | 2 //bow
you guys rock!
This
【在 c***3 的大作中提到】![](/moin_static193/solenoid/img/up.png) : We are pleased to announce the first beta release of the Mosaic plugin. This : is the first of a suite of plugins under development for annotating, : analyzing and visualizing networks with Gene Ontology terms. Mosaic uses : all three branches of GO to: : * Partition into subnetworks based on Biological Process terms : * Layout each subnetwork using a cellular template based on Cellular : Component terms : * Color nodes based on Molecular Function terms : Start with a network having any standard gene identifiers and Mosaic will : retrieve GO annotations ("full" or "slim" versions) and then perform the
| c***3 发帖数: 251 | 3 客气客气了,希望对大家有用。
这个主要的目的是基于Gene Ontology的生物网络的分解与显示。
比如说RNA-Seq或者Microarray数据的处理,通常会使用DAVID之类的工具来来看那些功
能是过表达的,最后的结果一般就是列出一个GO功能的列表,不直观,也不能同时关注
多个特性。
现在这个东西的特点:
1.进行自动的功能注释
2.根据不同属性(可以是GO的属性,也可以是一般属性)立体的去显示,从而使复杂的
生物网络,或者一族基因/蛋白,能够以更清晰,更直观的方式表现出来
【在 v*********d 的大作中提到】![](/moin_static193/solenoid/img/up.png) : //bow : you guys rock! : : This
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