The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Identification of novel exons and transcripts by comprehensive RNA-Seq of horn cancer transcriptome in Bos indicus
Horn cancer (HC) is a widely prevalent cancer amongst Bos indicus cattle and frequently associated with economic losses due to reduction in draught and milk production capacity. To identify novel transcripts and characterize HC transcriptome, we employed high throughput RNA-Seq analysis of HC and horn normal (HN) tissue. Total of 584,450 and 920,450 high quality reads were analyzed for HN and HC tissue, respectively, resulting in the identification of 16,803 unique genes comprising of 14,754 annotated genes and 2049 novel transcripts. We found 251 significant differentially expressed genes in HC transcriptome, which includes 52 putative novel transcripts. We validated presence of 23 out of 28 novel transcripts by RT-PCR and confirmed differential expression of 12 novel transcripts through RT-qPCR on 4 samples each of HC and HN. Functional analysis revealed that HC is characterized by deregulation of genes involved in epithelial cell differentiation and complement cascade. Our study will serve as a step further in detailed characterization of HC transcriptome and provide firm base to explore and mitigate HC at finer resolution. (C) 2013 Elsevier B. V. All rights reserved.
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