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
The organization and inter-relationships among inhabitants of a given region, country or city is known as population structure. Genetic markers can be used to infer population structure. In this context application of eigen analysis is major landmark in this field. Eigen analysis algorithm is simple and computationally fast and thus allows the analysis of very large genome-wide datasets with thousands of individuals. It simply detects SNPs that are correlated with the subspace spanned by the top few eigenvectors after determining the number of significant principal components. Important results emerge from this study is that application of eigen analysis to genetic data is statistically appropriate, and provide a formal set of statistical tests for population structure. Recent studies have demonstrated that eigen analysis is a fast, easy-to-implement method with great power for analysis of the very large datasets that are increasingly becoming available.