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Computational identification and analysis of single-nucleotide polymorphisms and insertions/deletions in expressed sequence tag data of Eucalyptus
1Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Teh Kandaghat, Solan 173 234, India 2School of Computer Science and InformationExpand
SHIFT: Server for hidden stops analysis in frame-shifted translation
TLDR
SHIFT, an algorithmic web application tool that provides a user-friendly interface for identifying and analyzing hidden stops in frameshifted translation of genomic sequences for all available genetic code systems is presented. Expand
Tools, resources and databases for SNPs and indels in sequences: a review
TLDR
This work intends to guide the reader with the software details such as algorithmic background, file requirements, operating system specificity and species specificity, if any, for the tools of SNPs detection in plants and animals. Expand
Challenges in the miRNA research
TLDR
This review provides a bioinformatics approach of the miRNAs and their challenges with respect to annotation and discusses myriad of dimensions where mi RNAs are being associated with several putative functional and evolutionary events. Expand
Comparative analysis of epitope predictions: proposed library of putative vaccine candidates for HIV
TLDR
A comparative study of servers that can predict the MHC binding peptides in a given protein sequence of the antigen and a library of putative vaccine candidates for the env GP-160 protein of HIV-1 are proposed. Expand
Molecular modelling, docking and interaction studies of human-plasmogen and salmonella enolase with enolase inhibitors
TLDR
The study shows that salmonella enolase and human enolases have different active sites in their structure, which will help in development of new ligands, more suitable for inhibiting bacterial survival inside host as vaccines for typhoid fever are not fully protective. Expand
HLAB27Pred: SVM-based precise method for predicting HLA-B*2705 binding peptides in antigenic sequences
TLDR
This work describes the implementation of SVM algorithm, developed for the identification of HLA-B*2705 binding peptides in antigenic sequences, and makes it clear that training on wide-scale data made this method more accurate and robust than all available other methods for the HLA**2705 allele and would prove its usability in the biomedical domain. Expand