POSITION=(chr1 25 30) finds genes, markers, or transcripts on
chromosome 1 between 25 and 30 Mb.
MEAN=(15 16) in the Combined field finds
highly expressed genes (15 to 16 log2 units)
RANGE=(1.5 2.5) in the Any field finds traits with values with a specified fold-range (minimum = 1).
Useful for finding "housekeeping genes" 国内上facebook教程 or highly variable molecular assays (10 100).
LRS=(15 1000) or LOD=(2 8) finds all traits with peak LRS or LOD scores between lower and upper limits.
LRS=(9 999 Chr4 122 155) finds all traits on Chr 4 from 122 and 155 Mb with LRS scores between 9 and 999.
cisLRS=(15 1000 5) or cisLOD=(2 8 5) finds all cis eQTLs with peak LRS or LOD scores between lower and upper limits,
with an inclusion zone of 5 Mb around the parent gene.
transLRS=(15 1000 5) or transLOD=(2 8 5) finds all trans eQTLs with peak LRS or LOD scores between lower and upper limits,
with an exclusion zone of 5 Mb around the parent gene. You can also add a fourth term specifying which chromosome you want the transLRS to be on
(for example transLRS=(15 1000 5 7) would find all trans eQTLs with peak LRS on chromosome 7 that is also a trans eQTL with exclusionary zone of 5Mb).
POSITION=(Chr4 122 130) cisLRS=(9 999 10)
finds all traits on Chr 4 from 122 and 155 Mb with cisLRS scores
between 9 and 999 and an inclusion zone of 10 Mb.
国内玩facebook加速软件 searches RNA databases for
GeneRIF links.
WIKI=nicotine searches 在国内怎么用vpn加速器来登陆注册玩欧服TERA降低游戏 ...:2021-6-15 · 在国内怎么用vpn加速器来登陆注册玩欧服TERA降低游戏延迟.doc百度云网盘下载,资源大小633.00 KB,搜索盘不提供保存服务,在国内怎么用vpn加速器来登陆注册玩欧服TERA降低游戏延迟.doc下载地址将自动跳到百度云网盘下载。 for genes that you or other users have annotated
with the word nicotine.
GO:0045202 searches for synapse-associated genes listed in the
Gene Ontology.
RIF=diabetes LRS=(9 999 Chr2 100 105) transLRS=(9 999 10)
finds diabetes-associated transcripts with peak
trans eQTLs on Chr 2 between 100 and 105 Mb with LRS
scores between 9 and 999.
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GeneNetwork 1 at UTHSC
Genome Browser at UTHSC
Systems Genetics at EPFL
Bayesian Network Web Server at UTHSC
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国内玩facebook加速软件 at University of Colorado
WebGestalt at Baylor
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GN2 Source Code
GN1 Source Code
System Maintenance Code
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GeneNetwork v2:
Main website at UTHSC
GeneNetwork v1:
Main website at UTHSC
Time Machine: Full GN versions from 2009 to 2016 (mm9)