The Biodiversity Comparative Genomics Database aims to bring together knowledge and omics data sets of different species on Earth, including some excellent data sets of major international projects such as B10K, 1KITE, etc. to understand the species diversity and construct phylogenetic trees to reveal the evolutionary relationships between species through cross-species comparative analysis. Based on species knowledge, biological data, barcode, pictures and other data to build a species identification system for species identification and information query.
The Bird 10,000 Genomes (B10K) Project is an initiative to generate representative draft genome sequences from all extant bird species within the next five years (2015-2020). The establishment of this project is built on the success of the previous ordinal level project , which provided the first proof of concept for carrying out large-scale sequencing of multiple representative species across a vertebrate class and a window into the types of discoveries that can be made with such genomes. The announcement of the B10K Project was published on 3rd June 2015 in Nature.
Insects are one of the most species-rich groups of metazoan organisms. They play a pivotal role in most non-marine ecosystems and many insect species are of enormous economical and medical importance. Unraveling the evolution of insects is essential for understanding how life in terrestrial and limnic environments evolved. The 1KITE (1K Insect Transcriptome Evolution) project aims to study the transcriptomes (that is the entirety of expressed genes) of more than 1,000 insect species encompassing all recognized insect orders. For each species, so-called ESTs (Expressed Sequence Tags) will be produced using next generation sequencing techniques (NGS). Sequencing and sequence assembly have been completed for more than 1,200 species by the end of 2014. The expected data will allow inferring robust phylogenetic backbone trees of insects. Furthermore, the project includes the development of new software for data quality assessment and analysis.