Portal of Juglandaceae now is available ! Please read our document first.
5.Who should I contact if I think I have found a mistake/bug in the database?
6.What data and information does PJU contain?
7.How can I download data from PJU?
8.How can I contribute my data to PJU?
What is PJU?
Portal of Juglandacea(PJU) is a genomic database designed for Juglandaceae family. It contains various genomic data and tools for 3 genera and 9 species up to now.
How is PJU structured?
PJU uses python and Flask frameworks to organize back-end programs, using Jquery and Bootstrap front-end frameworks to present information and interact with users. The entire project is deployed using Nginx and Gunicorn.
How do I cite PJU?
Url for PJU:http://Juglandaceae.info/
How can I contact PJU?
Dr.Zhengjia Wang
Mailing address: No. 666, Wusu Street, Lin'an District, Hangzhou, Zhejiang, China
Postal code: 311300
Telephone: +86 13989845579
E-mail: wzhj21@163.com,wzj@zafu.edu.cn
Who should I contact if I think I have found a mistake/bug in the database?
Please contact administrator via nobugsquirtle@outlook.com or Wechat: guowenlei111 if you found a mistake/bug!
What data and information does PJU contain?
Currently, the PJU contains several search tools and available data for researchers to conduct molecular biology, Genomics,Genetics, Phylogeny study. We also implemented a genomic browser that visualizes genomic data interactively and performed Basic Local Alignment Search Tool. PJU also includes several additional tools for complete data download, relative articles search. This current PJU is Version 1.0, so we will update it continuously and try to ensure it be the leading database for Juglandaceae genomics.
How can I download data from PJU?
You can download all the data PJU containing by the Download page
How can I contribute my data to PJU?
We welcome all kinds of cooperation research.Contact us if you have any valuable data such as transcriptome, genome.
What is PJU's future plan?
Our initial plan is to collect more transcriptome data and develop a visualization tool in web page. All the researchers can easily observe the differential expression of genes.In the future, we will develop more useful tool, perform deeper mining of genomics data and make it availiable on our website.