Expression data for stress treatment in rice seedlings
Drought, salinity and sub-optimal temperatures are stresses that cause adverse effects on the growth of plants and the productivity of crops. In this study, we have analyzed the expression profiles of rice genes under control and abiotic stress conditions using microarray technology to identify the genes differentially expressed during various abiotic stresses.
Provenance — who produced it, who reused it
Linked to 36 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Genome-Wide Survey and Expression Analysis of Amino Acid Transpo... 2012 · 228 cites
- Transcriptional Regulatory Network Analysis of MYB Transcription... 2015 · 160 cites
- Expansion and stress responses of AP2/EREBP superfamily in Brach... 2016 · 90 cites
- Comprehensive Genomic Analysis and Expression Profiling of Phosp... 2013 · 84 cites
- RiceSRTFDB: A database of rice transcription factors containing... 2013 · 84 cites
- Valine-glutamine (VQ) motif coding genes are ancient and non-pla... 2018 · 82 cites
- Rice Phospholipase A Superfamily: Organization, Phylogenetic and... 2012 · 79 cites
- Action of multiple intra-QTL genes concerted around a co-localiz... 2015 · 77 cites
- Comprehensive Expression Analysis of Rice Armadillo Gene Family... 2014 · 77 cites
- Identification of Gene Modules Associated with Drought Response... 2012 · 76 cites
- Characterization of the Ubiquitin-Conjugating Enzyme Gene Family... 2015 · 75 cites
- Genome-wide identification of heat shock proteins (Hsps) and Hsp... 2014 · 73 cites
24 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently