The mission is to provide a national level
facility and expertise in Bioinformatics and Computational Biology. The
Centre is actively
involved in Human Resource Development. The Centre was setup in 1989
under Biotechnology Information System Programme funded by the Department of Biotechnology,
the center was to provide information to the researchers in Northern
Region. In the first decade the Centre assisted biologists by
providing bibliographic references with abstracts, retrieving
sequences and structural data, analyzing the sequences and structural
data, imparting skills in bioinformatics and providing computational
facilities for research purposes in any area of bioinformatics. Since
2002 DBT has recognized the BIC at JNU as one of its five “Center
of Excellence” in Bioinformatics , which includes the research and
teaching/training abilities of the center. Since then the center has
embarked on research and development in the broader area of
Computational and Systems Biology.
The advancements in the field of Bioinformatics are leading to more focused area of study at Systems level. Taking note of this trend the center has renamed it as “Centre for Computational Biology and Bioinformatics (CCBB)”. Our main objective of human resource development activities and research in frontier areas of computational biology has taken a shape and recognition within the country. We are also making concrete effort in inter–institutional collaboration in research projects. To keep pace with the development in the field, impetus is given to set up the necessary infrastructure and resources for the academic community.
DNA Scanner DNA SCANNER is a tool which scans DNA for number of different properties such as biophysical, energy, potential for protein interactions and sequence based features such as T density, AT density etc.
miRNA Prediction Webserver CIDmiRNA is the tool for computer-assisted identification of micro-RNA using an SCFG model and has been designed to analyze either a single sequence or complete genome.
ABWGAT: Anchor Based Whole Genome Analysis Tool: Large numbers of genomes are being sequenced regularly and the rate will go up in future due to availability of new genome sequencing techniques. In order to understand genotype to phenotype relationships it is necessary to identify sequence variations at the genomic level. Alignment of a pair of genomes and parsing the alignment data is an accepted approach for identification of variations. Though there are a number of tools available for whole genome alignment none of these allow automatic parsing of the alignment and identification of different kinds of genomic variants with high degree of sensitivity. We have developed a new algorithm and web based interface for pairwise whole genome comparison named ABWGAT (Anchor Based Whole Genome Analysis Tool) that is simple to use. The server is useful to find genetic variations like SNV (Single Nucleotide Variations), INDEL (Insertion and deletion), Repeat Expansions and Inversions. The output is a separate list for each of the variations, size, gene name, predicted function etc.The address of the web-server is as follow:ABWGAT:
Anchor Based Whole Genome Analysis Tool
GOPAM Gene Ontology based prediction analysis of microarray GOPAM (Gene Ontology Based Prediction Analysis of Microarray) is the integrated web based application composed of three component (1) GOPAM : For analysis of GO hierarchy to find set of interesting GO nodes, (2) GOViZ : For interactive visualization of the GO hierarchy for the specific node of interest up to chosen level for children, or ancestor or both and to visualize how set of GO nodes minimally connected in the GO structure as well as in GO hierarchy. (3) GOdb : Connects the database to several other databases and allow GO centric query with certain degree of evidence.
Plant Stress Gene Database Stress conditions, both biotic and abiotic cause extensive losses to agricultural production worldwide. Individually, stress conditions such as drought, salinity or heat have been the subject of intense research. However,in the field, crops and other plants are routinely subjected to a combination of different abiotic stresses. Owing to their sessile nature, plants are constantly exposed to a multitude of environmental stresses to which they react with a battery of responses. The result is plant tolerance to conditions such as excessive or inadequate light, water, salt and temperature, and resistance to pathogens. Not only is plant physiology known to change under abiotic or biotic stress, but changes in the genome have also been identified.This database include 259 stress-related genes of 11 species alongwith all the available information about the individual genes. Stress related ESTs were also found for Phaseolus vulgaris. Database also includes ortholog and paralog of proteins which are coded by stress related genes.
Mycobacterial Genome Divergence database MGDD (Mycobacterial Genome Divergence Database) is a repository of genetic differences among different strains and species of organisms belonging to Mycobacterium tuberculosis complex. The differences are based on comparison of user chosen organisms. The query sequences are used to compare against subject sequences. The users can also choose the type of genetic divergence, that is, SNPs (Single Nucleotide Polymorphism), insertions, repeat expansion and divergent sequences that they are interested in. The results from a specific region (based on boundary defined by nucleotide sequence) or a specific gene can be displayed based on user's choice. Presently, the database has precomputed analysis from three different fully sequenced genomes of this complex. These are Mycobacterium tuberculosis H37Rv, Mycobacterium tuberculosis CDC1551 and Mycobacterium bovis AF2122/97. In future it will be updated with more strains species as fully sequenced genomes become available.
Repeat Finder (SRF), Software for finding
repeat structures in genomic DNA (in collaboration with IMTECH)