Project titles for:
                                                     
Project titles for: 2006-08
- Detection of putative miRNA sequences in rice genome
- QSAR Studies on Tuberculosis Inhibitors
- Eigenvalue analysis and its applications in Bioinformatics
- Parallel Implementation of DOCK Algorithm
- Comparative Analysis of Protein Classification Methods
- Identification of Neuraminidase inhibitors of Influenza virus
- Identification of Transcription factor binding sites in yeast
- Restriction site analysis of Rice genome
- Docking Studies on Tuberculosis Inhibitors
- Determination of sequence homology in promoter region for abiotic stress responsive genes in rice
- SNP mining in Chromosome no.8 of rice
- Annotation of EST Sequences present on Chromosome no. 1, 4 & 8 of Rice
- Function Prediction for genes near BAD-2 locus on Chromosome no. 8 of Rice
- Computational Prediction of Putative miRNA Candidates in Malarial Parasite Genome
- Multimedia database of fungal diseases in Rice and Wheat
- GePre: A Gene Prediction Tool
- SEALI: A Sequence Alignment Tool
- Tannase Structure Prediction
- Algorithms on PAM and BLOSUM Matrices
Sequence variations exist at defined positions within genomes. Variations that occur in functional regions of genes or in conserved non-coding regions might cause significant changes in the complement of transcribed sequences. This can lead to changes in protein expression that can affect aspects of the phenotype such as metabolism or cell signaling. Comparative analysis of genome sequences at the intra- and interspecies level may elucidate variation in genome structure and function. The discovery of large numbers of single nucleotide polymorphisms (SNPs) in genome-scale sequencing initiatives opens new doors into the study of the genome-wide distribution of diversity and its significance. In the present project of SNP mining, a total of 1492 sequences were retrieved from NCBI map viewer which were of varied lengths from a total of 1.97 Mb length sequence. This 1.97 Mb length sequence comprised of 57,283 genes with an average gene size of 1767 bp. NCBI’s SNP Blast was used for blasting these sequences. The resultant blast pages accessed the curated pages from dbSNP of NCBI. As a result, a data set of 759 SNPs were retrieved. In the results, there were four SNP positions at which multiple bases were present. When this whole procedure was done using Blastn of NCBI, multiple bases at any SNP position were found to be present in more numbers. But since that method comprised of manual SNP prediction, was less accurate and more prone to error and hence close to more false positives.