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Open AccessTechnical Note

Construction and analysis of cotton (Gossypium arboreum L.) drought-related cDNA library

Ling Zhang email, Fu-Guang Li email, Chuan-Liang Liu email, Chao-Jun Zhang email and Xue-Yan Zhang email

Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Cotton Research Institute, Chinese Academy of Agriculture Sciences, Anyang, Henan 455000, PR China

author email corresponding author email

BMC Research Notes 2009, 2:120doi:10.1186/1756-0500-2-120

Published: 2 July 2009

Additional files

Additional file 1:

The GO classification of sequences. GO data mining for drought-stressed genes with GO at the appropriate level. Table shows the number and percent of the EST sequences with GO-Standard.

Format: DOC Size: 98KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 2:

The GO annotation of sequences. Table shows 78 EST sequences with Genbank accession, GO ID and GO annotation.

Format: DOC Size: 47KB Download file

This file can be viewed with: Microsoft Word Viewer

Additional file 3:

The COG annotation of sequences. Table shows 62 EST sequences with Genbank accession, COG name and COG annotation.

Format: DOC Size: 97KB Download file

This file can be viewed with: Microsoft Word Viewer


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