The major research objective of this team is Solexa sequencing data processing and quality control.
Our group mainly focuses on the detection of variations based on resequencing.
The major interest of this team is to explain the relationship of the genetic context, expression profiling and epigenetic diverse and their corresponding effects on the phenotypes related to cancer based on resequencing technology.
We study small RNAs which play critical roles in the regulation of many biological processes in most eukaryotes.
Our group is working on de novo showing accurate assembly at an acceptable computational cost, basing on short sequencing reads generated by the next-generation sequencer.
The field of genome annotation includes identifying the structural and functional elements, integrate and display the valuable information on genomic level.
Benefited from the high throughput sequencing technology, we aim to investigate various regulations using rice as the model organism by RNA-Seq technology.
The goals of the Metagenomics Unit are to study the communities of microbial organisms directly in their natural environments using the modern genomics techniques.
The major research objective of this group is to understand the relationship between DNA variations and interested phenotypic traits.
Developing a quality control system for the whole production process, Applying the Genome Analyzer pipeline to BGI IT environment Combining the data processing with the project management, data storage, and quality control system.
Our group takes full effort to develop standard bioinformatics protocol and pipelines for all kinds of projects related to resequencing.
The major work of our group is developing de novo assembler, especially for short reads at present.
The group is interested in the assembly of transcriptome and metagenomics. When the high-throughput sequencing .
This is one of the most productive group majoring on database construction and web-based applications development.
The major objective of this team is to help more genome scientists comprehend bioinformatics and the user interface of cloud computing platform.
Our mission is to provide the best services and technical support including data management and system maintenance for our scientists and any BLC(Bioinformatics Linux Cluster) user and to further contribute to support their highest demands in BLC by investigating and testing cutting-edge computer technology.
The major objective of this team is to integrate all self-developed bioinformatics tools into cloud computing platform with friendly user interface.