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
A sequence alignment tool called SEALI has been developed in PERL. The web interface uses CGI and a front-end for data input and viewing the results has also been developed. The tool is available at Bioinformatics Intranet local server. The work flow of the algorithm is as under: Input two nucleotide sequences as two strings, select the type of alignment i.e. local or global, check for the accuracy of sequences i.e. the correct sequence should not contain any spaces or letter other than the four (A, G, C, and T), count the length of two sequences, align the two sequences, count the number of matches, mismatches, gaps and score and display the possible alignment.