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author | Bonface | 2024-02-15 06:09:54 -0600 |
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committer | Munyoki Kilyungi | 2024-08-09 13:30:43 +0300 |
commit | e34e7da50fc0ff5ed41e8bdaf2b1d41c9e9cf534 (patch) | |
tree | 67c6bdeb413af7d1dd6c4d02f37b206850a78531 /general/datasets/B150_K_0406_R/summary.rtf | |
parent | b2feda451ccfbeaed02dce9088d6dd228cf15861 (diff) | |
download | gn-docs-e34e7da50fc0ff5ed41e8bdaf2b1d41c9e9cf534.tar.gz |
Update dataset RTF Files.
Diffstat (limited to 'general/datasets/B150_K_0406_R/summary.rtf')
-rw-r--r-- | general/datasets/B150_K_0406_R/summary.rtf | 1 |
1 files changed, 0 insertions, 1 deletions
diff --git a/general/datasets/B150_K_0406_R/summary.rtf b/general/datasets/B150_K_0406_R/summary.rtf deleted file mode 100644 index 54d0d52..0000000 --- a/general/datasets/B150_K_0406_R/summary.rtf +++ /dev/null @@ -1 +0,0 @@ -<p>Using a reference population of 150 recombinant doubled haploid barley lines we generated novel phenotypic, mRNA abundance and SNP-based genotyping data sets, added them to a considerable volume of legacy trait data and entered them into the GeneNetwork http://www.genenetwork.org webcite. GeneNetwork is a unified on-line analytical environment that enables the user to test genetic hypotheses about how component traits, such as mRNA abundance, may interact to condition more complex biological phenotypes (higher-order traits). Here we describe these barley data sets and demonstrate some of the functionalities GeneNetwork provides as an easily accessible and integrated analytical environment for exploring them.</p>
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