Difference between revisions of "List of useful Datasets"
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*31 tissues/organs from throughout the plant life cycle,from two ''indica'' varieties; Zhenshan 97 and Minghui 63. | *31 tissues/organs from throughout the plant life cycle,from two ''indica'' varieties; Zhenshan 97 and Minghui 63. | ||
*8 (callus) samples spanning the tissue culture process of genetic transformation were also included, | *8 (callus) samples spanning the tissue culture process of genetic transformation were also included, | ||
| − | *Total number of tissues were 39- this | + | *Total number of tissues were 39- this is actually only 15 different tissues/organs, but some were taken at different developmental stages ( ). |
-germinating seed | -germinating seed | ||
Revision as of 16:40, 18 November 2010
Genevestigator
Organisms: High quality sources only:
Arabidopsis thaliana source expts:
- AG 8K array, 90 expts
NASC (72), GEO (18)
- ATH1: 22K array: 5760 expts
-Gruissem lab (18), NSAC (326), FGCZ (55), GEO (2731), ArrayExpress (1679), AtGenExpress (876), TAIR (38), other (37)
Oryza sativa source expts:
- Os_51K Rice Genome Array 51K: 162 expts:
GEO (151), PlexDB (11)
Rice Gene Expression Atlas (Wang et al, 2010)
-contains 57,381 probe sets in total, of which 1347 represent 1260 transcripts of an indica variety and 54 168 represent 48 564 transcripts of a japonica variety.
- 31 tissues/organs from throughout the plant life cycle,from two indica varieties; Zhenshan 97 and Minghui 63.
- 8 (callus) samples spanning the tissue culture process of genetic transformation were also included,
- Total number of tissues were 39- this is actually only 15 different tissues/organs, but some were taken at different developmental stages ( ).
-germinating seed
-plumule (2)
-radicle (2)
-seedling (5)
-leaf sheath (2)
-stem (2)
-leaf (4)
-palea/lemma
-stamen
-spikelet
-endosperm (3)
-panicle (1-5)
-root
-shoot
-Callus (8)
Data was deposited in the database CREP Collections of Rice Expression Profiling.
-It can be searched by querying single gene or multiple genes using gene sequences, gene names, or the probe identifications, for items like quantified expression values, the co-expressed genes, the tissues and varieties in which they are expressed.
