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Trait Data and Analysis  for Record ID 1455931_at

  Details and Links

Gene Symbol: Chrna3
Aliases: (a)3; A730007P14Rik; Acra-3; Acra3; LNCR2; PAOD2; MGC104879; CHRNA3
Description: cholinergic receptor, nicotinic, alpha polypeptide 3; mid and mid-distal 3' UTR
Location: Chr 9 @ 55.011606 Mb on the minus strand
Target Score: BLAT specificity: 11.1   Score: 222  
Species and Group: Mouse, CXB
Database 3: Stuart Spleen M430v2 (Nov07) RMA
Resource Links: Gene  OMIM  UniGene  GenBank  HomoloGene  
UCSC  BioGPS  STRING  PANTHER  Gemma  ABA  EBI GWAS  Wiki-Pi  

Add To Collection Find similar expression data  Check probe locations at UCSC  Write or review comments about this gene  View SNPs and Indels  Check sequence of probes
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  Basic Statistics



StatisticValue
N of Samples15
Mean6.564
Median6.474
Standard Error (SE)0.064
Standard Deviation (SD)0.248
Minimum6.308
Maximum7.263
Range (log2)0.954
Range (fold)1.938
Interquartile Range1.215

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This plot evaluates whether data are normally distributed. Different symbols represent different groups.

More about Normal Probability Plots and more about interpreting these plots from the glossary

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More about Box Plots

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  Calculate Correlations

Database:
Return:

Pearson    Spearman Rank



The Sample Correlation is computed between trait data and any
other traits in the sample database selected above. Use Spearman Rank
when the sample size is small (<20) or when there are influential outliers.
Database:
Return:



The Literature Correlation (Lit r) between this gene and all other genes is computed
using the Semantic Gene Organizer and human, rat, and mouse data from PubMed.
Values are ranked by Lit r, but Sample r and Tissue r are also displayed.

More on using Lit r
Database:
Return:

Pearson    Spearman Rank



The Tissue Correlation (Tissue r) estimates the similarity of expression of two genes
or transcripts across different cells, tissues, or organs (glossary). Tissue correlations
are generated by analyzing expression in multiple samples usually taken from single cases.
Pearson and Spearman Rank correlations have been computed for all pairs of genes
using data from mouse samples.

  Mapping Tools

Chromosome:
Mapping Scale:
Permutations:

Bootstrap Test (n=2000)
Use Parents
Use Weighted



Interval Mapping computes linkage maps for the entire genome or single
chromosomes. The Permutation Test estimates suggestive and significant
linkage scores. The Bootstrap Test estimates the precision of the QTL location.

Display LRS above:
Permutations:

Display all LRS
Use Parents
Use Weighted



Marker regression computes and displays LRS values for individual markers.
This function also lists additive effects (phenotype units per allele) and
dominance deviations for some datasets.

Chromosome:
Mapping Scale:
Control Locus:
Permutations:

Bootstrap Test (n=2000)
Use Parents



Composite Interval Mapping allows you to control for a single marker as
a cofactor. To find a control marker, run the Marker Regression function.

Sort by:
Return:

Permutation Test (n=500)



Pair-Scan searches for pairs of chromosomal regions that are
involved in two-locus epistatic interactions.

  Review and Edit Data

Edit or delete values in the Trait Data boxes, and use the Reset option as needed.

  Block samples by index:        
  Options:                       


  Outliers highlighted in  yellow  can be hidden using the Hide Outliers button,
  and samples with no value (x) can be hidden by clicking Hide No Value .


IndexSampleValue SEN
1 CBF1 ±
2 BCF1 ±
3 C57BL/6ByJ ±
4 BALB/cByJ ±
5 CXB1 ±
6 CXB2 ±
7 CXB3 ±
8 CXB4 ±
9 CXB5 ±
10 CXB6 ±
11 CXB7 ±
12 CXB8 ±
13 CXB9 ±
14 CXB10 ±
15 CXB11 ±
16 CXB12 ±
17 CXB13 ±

CITG Web services initiated January, 1994 as Portable Dictionary of the Mouse Genome; June 15, 2001 as WebQTL; and Jan 5, 2005 as GeneNetwork. This site is currently operated by Rob Williams, Pjotr Prins, Zachary Sloan, Arthur Centeno. Design and code by Pjotr Prins, Zach Sloan, Arthur Centeno, Danny Arends, Christian Fischer, Sam Ockman, Lei Yan, Xiaodong Zhou, Christian Fernandez, Ning Liu, Rudi Alberts, Elissa Chesler, Sujoy Roy, Evan G. Williams, Alexander G. Williams, Kenneth Manly, Jintao Wang, and Robert W. Williams, colleagues. Python Powered Registered with Nif
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