Data · dataset · 2011
Genomic data from the giant panda ( Ailuropoda melanoleuca ).
Listed in DataCite
The giant panda ( Ailuropoda melanoleuca ) is considered a symbol of China and is a much loved animal all around the world.
Description
It is also one of the worlds most endangered species, making it a flagship species for conservation efforts. As the first fully sequenced Ursidae and the second fully sequenced carnivore after the dog, the whole genome sequence and annotation data provide an unparalleled amount of information to aid in understanding the genetic and biological underpinnings of this unique species, and will help contribute to disease control and conservation efforts.
In 2008, BGI completed a first draft of the genome sequence of a three-year old female giant panda named Jingjing, who was used as a model for the 2008 Olympics in Beijing, China (doi: 10.1038/nature08696). Using second-generation Illumina GA sequencing data, the first de novo genome assembly was created using short-read sequencing technology. Here you will find the giant panda genome sequence assembly as well as annotation information, such as gene structure and function, non-coding RNAs, and repeat elements.
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Also presented are polymorphism information detected in the diploid genome, including SNPs, indels, and structural variations (SVs). The assembly was done using SOAPdenovo software and the panda genome data is visualized via MapView, which is powered by the Google Web Toolkit.
Links
Where it is published
- Repository landing page gigadb.org/dataset/100004 ↗
landing page · from DataCite
- DOI doi.org/10.5524/100004 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
- IsCitedBy 10.1038/nature08696 doi.org/10.1038/nature08696 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.5524/100004 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.5524/100004 ↗
catalogue entry · from DataCite
Topics
- Inferred from text
- Disease 75% · Genome sequencing 65% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.5524/100004 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:genome-sequencing | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:sequencing | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |