All projects of Data Center


We aim to integrate of big biological data, to construct different topics databases including tumor diseases, population polymorphism, biodiversity, microbiological and others, to provide data sharing systems and communities to meet the needs of researchers in different areas, to enhance the data value and promote data development application.

1KITE: 1K Insect Transcriptome Evolution

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 polar 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.

Members of Data Center 马川川(Adam Ma), 杨帆(Felix Yang), 郭楠楠(Nancy Guo), 江银凤(Yinfeng Jiang) contribute to this database development.

Database statictics

Subprojects12
Species105
Samples105
Config sequence data4.3G

B10K: Bird 10K Genomes

The Bird 10,000 Genomes (B10K) Project plans to generate representative draft genome sequences from all extant bird species within the next five years (2015-2020). The B10K project will complete a genomic level tree of the entire bird species, decode the relationship between genetic variation and phenotypic variation, uncover the correlation of genetic evolutionary and biogeographical and biodiversity patterns, evaluate the impact of various ecological factors and human influence on species evolution, and unveil the demographic history. As of March 14, 2017, B10K has processed 2,500 samples, representing 2,400 species from 1,370 genera, 300 families, and 36 orders.

Members of Data Center 马川川(Adam Ma), 杨帆(Felix Yang), 郭楠楠(Nancy Guo), 江银凤(Yinfeng Jiang) contribute to this database development.

Database statictics

Species933
Samples940
Scanffold data86G

FishT1K: Transcriptomes of 1,000 Fishes

FishT1K (Transcriptomes of 1,000 fishes) project was officially launched by BGI in November 2013, with the aim of generating genome-wide transcriptome sequences for 1,000 diverse species of fishes using RNA-seq. The FishT1K database will establish the first data storage, application, sharing platform for fish group research, greatly advancing the study of fish biology, eventually contributing towards global fish biodiversity conservation efforts and sustainable utilization of natural resources. In addition, the database will promote development of new technologies and softwares for transcriptome sequencing, data analysis, annotation, and storage.

Members of Data Center 周飞羽(Remex Chou), 杜文斯(Sven Doo), 沈维燕(Steven Shen) contribute to this database development.

Database statictics

Species129
Samples158
Scaffold data21G

MilletDB: Millet DataBase

The millet database is based on the data of the millet genome project researched by BGI and Zhangjiakou Academy of Agricultural sciences. The database records the genotype-phenotype information of millet. Users can query and retrieve the genotype of millet through the phenotype, and the corresponding phenotype can be retrieved by genotype. Besides, the database also applies the big data technology and machine learning method to construct the genotype-phenotype model to promote the intelligent molecular breeding.

Members of Data Center 杨帆(Felix Yang), 郭楠楠(Nancy Guo), 江银凤(Yinfeng Jiang) contribute to this database development.

Database statictics

Samples2540

MLGD: Marine Life Genome Database

Marine Life Genome Database (MLGD) is an on-line database aiming to provide a comprehensive knowledge and analysis for the genome of marine lives. We collected the genome, transcriptome and proteome data and information of the marine species that has been sequenced and published so far. These information are organized based on the taxonomy of marine lives and each specie can be searched and viewed in the taxon tree. The information of each specie contains: description, reference, image, genetic information and data. Data sets can be downloaded directly or redirected to the NCBI Genome database, and we will add some on-line analysis tools in the future editions. We highly welcome cooperations to sequence and analyze new marine species for a better understanding of the genomes of marine lives. At present, 472547 species information, 7538 genomic data, and 25514 image information have been collected in MLGD.

Members of Data Center 马川川(Adam Ma), 郭楠楠(Nancy Guo), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Species472547
Genomes7538
Images25514

MT10K: 10K Mitochondrion Genome

The 10K Mitochondrial Genome Project (MT10K) is a global research project initiated by the Chinese National GeneBank. The project is planned to construct a mitochondrial database covering all groups of animals with more than 10,000 mitochondrial genomes. It aims to cover all the families of animals, and creates a truly comprehensive mitochondrial database. At present, the database consists of 5,157 species and about 35Gb of mitochondrial genomic data. The database also incorporates Blast and PhyML tools to provide data and analytical support for researchers in the field.

Members of Data Center 周飞羽(Remex Chou), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Data sources3
Species5157
Specimens5206
Images61

OneKP: 1000 Plants

The 1,000 Plants project (OneKP or 1KP) is an international multi-disciplinary consortium that has generated large-scale genome sequencing data for over 1,000 species of plants. We constructed online BLAST platform based on the OneKP datasets in the database. By June 21, 2017, BLAST for OneKP has 947 users and has completed more than 74,726 jobs.

Members of Data Center 杨帆(Felix Yang), 江银凤(Yinfeng Jiang), 沈维燕(Steven Shen) contribute to this database development.

Database statictics

Species1199
Samples1504
Scanffold data81G

BDD: Birth Defects Database

The Birth Defect Database collected data of clinical phenotype, genotype and disease basic information about more than 4,00 single-gene and chromosomal disorders. For currently, China National GeneBank stores samples for kinds of diseases: more than 1.7 million NIFTY samples with 13.5 thousand positive ones and 607T data production, 980 thousands samples for deaf testing with 52.9 thousand positive ones. In this database, people can search for basic information of disease and case information, e.g. test method, prognosis, treatment effect. Based on the phenotype and genotype data of samples, variation frequency will be analyzed and new pathogenic gene will be discovered to providing comprehensive guide for clinicians and parents.

Members of Data Center 杨帆(Felix Yang), 游丽金(Lisa You), 江银凤(Yinfeng Jiang) contribute to this database development.

Database statictics

Patients1187
Diseases341
Genes898

DHGV: Database of Human Genetic Variations

The Database of Human Genetic Variations (DHGV) advances scientific researches and human health by providing the variations of different human populations from the world. So far, the database contains more than 10,145 human samples around the world, and more than 170 million mutations. The database will continue to collect data on the genetic variation from Chinese. In the first release of DHGV, You can search any variants you expect to obtain the variation information, including alleles, distribution, frequency and annotations in genome. The second version is intended to add information on the relationship between mutations and disease. Not only that, DHGV's free data service will also greatly drive research of the world's population, especially the Chinese population, which contains the evolution of origin, genetic diseases and precision medical and other aspects of research and application.

Members of Data Center 游丽金(Lisa You), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Samples4563
Variations1741376415
Countries33

DISSECT: Data Integration Solution for Systematic Exploration of Cancer Traits

DISSECT (Data Integration Solution for Systematic Exploration of Cancer Traits) is a comprehensive data integration platform for cancer research, including the first mirror site of ICGC Data Portal in China, which provide important resources for domestic researchers. Based on the big data research, we attempt to establish the most comprehensive cancer big data integration system through large-scale, standardized data platform construction. DISSECT has already stored genomic and clinical data from around 20,000 cancer cases, and will continuously release updated data. The second version of DISSECT will integrate 10,000 Chinese people cancer WGS data from BGI cancer research institute. The most valuable of the system is providing omics data integrating and the depth excavation analysis of the large samples data with single cancer or multiple cancers, to support the development of Chinese precision cancer medicine.

Members of Data Center 游丽金(Lisa You), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Projects37
Samples50181
Genes59615
Tools8
All data18G

GDRD: Genetic Disease and Rare Disease database

GDRD is an integrated platform for genetic disease and rare disease research and application which focuses on collection, storage, analysis and mining of human genetic data, and phenotype data. Now in GDRD phase I,around 7,000 papers, 10,000 causative variants and 300 families with rare disorders from BGI, clinVar and OMIM database have been organized and presented on the website. Subsequently, GDRD phase II will aggregate sequencing data and phenotypic characters from a variety of genetic disease and rare disease research projects in CNGB and collaborators. By the end of 2017, it will add WGS data of 6,000 samples, and the amount of generated data will reach 20~30TB. In addition, it which provides automated explanation process will help explanation the genetic test results by clinicians, improve the efficiency of explanation greatly and avoid human error.

Members of Data Center 游丽金(Lisa You), 杜文斯(Sven Doo), 江银凤(Yinfeng Jiang), 沈维燕(Steven Shen) contribute to this database development.

Database statictics

Papers25
Families286
Variations11104

GeMap: Human omics-scale annotation system

GeMap is a comprehensive database which integrates genome data of 27 different races that come from 18 countries, and collects data from six authoritative databases, including 38,659 genes and millions of mutation information. GeMap can provide data retrieval service. Searching in GeMap can use rs id, gene name, disease name and chromosome position, etc. In the future, GeMap will integrates disease data, so that users can retrieve phenotype information with disease name, or retrieve related disease with gene name, etc. In addition, GeMap will build personal data analysis workstation, and then users can upload personal sequencing data, and get personal genome data analysis results. GeMap not only provides massive data support for the scientific researchers and medical practitioners, but also will provide the public with easy-to-use personal genome analysis tools and platforms, fully meet the needs of the masses.

Members of Data Center 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Data sources6
Populations27
Countries18
Genes38659
Variations151474076

HMD: Human Microbiome Database

The Human Microbiome Database (HMD) provides relevant sample and microbial data. The Human Microbial Database currently covers sequencing data volume of 83G and phenotypic information from 1,443 cases of stool samples from 8 human intestinal microbiological research projects. It also contains the most complete human intestinal microbial gene set in the world. By the end of 2017, HMD phase II will collect 3,000 samples (blood, saliva, plaque, skin, genital tract flora and so on), and the amount of data will increase 250GB. The corresponding gene sets will be available too.

Members of Data Center 杜文斯(Sven Doo), 江银凤(Yinfeng Jiang), 黄大伟(Vee Huang) contribute to this database development.

Database statictics

Samples1443
Genes9879896

ICGC: ICGC Data Portal China Mirror

ICGC Data Portal China Mirror provides visualization, query and download services of tumor data, covering 70 tumor research projects, 19,290 samples, 46,429,997 individual mutations and 57,658 mutant genes. The mirror site is regularly synchronized with the ICGC master station, providing more rapid service to Chinese researchers.

Database statictics

Projects70
Cancer primary sites21
Donors19305
Simple somatic mutations46693172
Mutated genes57658

PIRD: Pan Immune Repertoire Database

Pan Immune Repertoire Database (PIRD) mainly focuses on immune data related to human body. It collects BCR and TCR sequencing data of various disease and experimental information and phenotype information of the corresponding individual. The PIRD V1 stores the 1,923 samples data and 554,696,060 sequence data. The PIRD V2 will integrate more samples and data. By the end of 2017, it will add 5,000 samples information and the total data will reach 10TB. The PIRD which provides data comparison and visual analysis services for disease health researchers and clinicians.

Members of Data Center 马川川(Adam Ma), 刘克(Kandice Liu), 游丽金(Lisa You), 郭楠楠(Nancy Guo), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Projects2
Samples1923
Individuals1860
Raw data4.7T
Analysis data(compressed)37G

PVD: Pathogen Variation Database

Pathogen Variation Database (PVD) focuses on the identification and detection of unknown pathogens in human samples containing various pathogenic genomic data and related annotation information. The PVD demonstrates the results clearly and easily by data analysis and visualization, and will provide the toxicity identification and drug resistance of some pathogenic bacteria (HBV/HIV/HCV/HP). Thus, we offer the fast and comprehensive detection services for clinicians, patients and researchers.

Members of Data Center 杨帆(Felix Yang), 周飞羽(Remex Chou), 江银凤(Yinfeng Jiang) contribute to this database development.

SCDB: Single Cell DataBase

The single cell database will integrate the atlas of human cells, catalog all kinds of the body cells including subtypes, build a complete list of human cells, define human cells and construct the cell framework. The first version of single cell database demonstrates four projects including 46 samples, 30,854 cells, and 470GB data.

Members of Data Center 马川川(Adam Ma), 陈凤珍(Fengzhen Chen), 郭楠楠(Nancy Guo), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

Projects4
Samples46
Cells30854

BioMiGO: BioMiGO

China National GeneBank provides a bio-data search engine, BioMiGo, for data sharing. The search engine, BioMiGo, integrates comprehensive recources including 1,000 Plants (OneKP), 10K Mitochondrion Genome (MT10K), 1K Insect Transcriptome Evolution (1KITE), Transcriptomes of 1,000 Fishes (FishT1K), Bird 10K Genomes (B10K), ICGC Data Portal China Mirror (ICGC), provides more than 200 million entries with more than 7 thousand species, 27 races, 70 thousand samples, millions genes and PB level downloadable data for searching.

Members of Data Center 马川川(Adam Ma), 杨帆(Felix Yang), 郭楠楠(Nancy Guo), 杜文斯(Sven Doo), 沈维燕(Steven Shen) contribute to this database development.

Database statictics

CNGB Projects14

BLAST: The public beta version of high-performance sequence alignment service

BLAST stands for Basic Local Alignment Search Tool. The BLAST service of CNGB is developed with NCBI BLAST+ 2.6.0 standalone version, downloaded from NCBI FTP server, providing sequences searching on public data of CNGB applications, BGI projects and external data sources. The word, BLAST, in the name "the BLAST service of CNGB", is standing for kinds of sequence searching method. More types of sequence searching algorithms will be integrated in the future.

Members of Data Center 李玲(Lorraine Lee), 杜文斯(Sven Doo) contribute to this database development.

Database statictics

CNGB Projects4

CNSA: China National Sequence Archive Unpublished

China National Sequence Archive (CNSA) is a service that provides online data submitting of data and metadata of projects, samples, experiments and sequencing. It meet the needs of sharing a small batch of sequencing data. CNSA is committed to the storage and sharing for data of any type and phase of projects, samples, experiments. It archives raw data, intermediate and final data files produced from a wide variety of sequencing platforms. As a data storage and sharing platform, CNSA which adopts in the International Nucleotide Sequence Database Collaboration (INSDC) standard accepts the data submissions from all over the world, and shares to INSDC. Besides, each complete dataset (including phenotype, omics, experimental analysis methods and other data) in CNSA will be assigned a DOI that can be used as a standard citation for future use of these data. CNSA makes biological sequence data available to the researchers to enhance reproducibility, improve utilization and allow for new discoveries by comparing data sets.

Members of Data Center 杨帆(Felix Yang), 张浩铧(Haohua Zhang), 李玲(Lorraine Lee) contribute to this database development.

GigaDB: GigaDB

GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience. However, it also includes a subset of datasets that are not associated with GigaScience articles. GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. Through the association with DataCite, each dataset in GigaDB will be assigned a DOI that can be used as a standard citation for future use of these data in other articles by the authors and other researchers. Datasets in GigaDB all require a title that is specific to the dataset, an author list, and an abstract that provides information specific to the data included within the set. We encourage detailed information about the data we host to be submitted by their creators in ISA-Tab, a format used by the BioSharing and ISA Commons communities that we work with to maintain the highest data and metadata standards in our journal. To maximize its utility to the research community, all datasets in GigaDB are placed under a CC0 waiver (for more information on the issues surrounding CC0 and data see Hrynaszkiewicz and Cockerill, 2012). Datasets that are not affiliated with a GigaScience article are approved for inclusion by the Editors of GigaScience. The majority of such datasets are from internal projects at the BGI, given their sponsorship of GigaDB. Many of these datasets may not have another discipline-specific repository suitably able to host them or have been rapidly released prior to any publications for use by the research community, whilst enabling their producers to obtain credit through data citation. The GigaScience Editors may also consider the inclusion of particularly interesting, previously unpublished datasets in GigaDB, especially if they meet our criteria and inclusion as Data Note articles in the journal.