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Bioinformatics Services

The sequencing of the genomes from several organisms, and high-throughput X-ray structure analysis, have brought to the scientific community a large amountof data about the sequences and structures of several thousand proteins. This information can effectively be used for medical and biological research only if one can extract functional insight from it.
Phylogenetics is the study of the evolutionary relatedness among groups of organisms. Molecular phylogenetics uses sequence data to infer these relationships for both organisms and the genes they maintain.
Computational modelling of proteins has been a major catalyst in structural biology. It predicts the structure of an unknown protein using known information from one or more homologous partners. Comparative modelling generally produces a good three-dimensional model if a homologous template with a global sequence identity of ≥ 30% is used.
As a process of identification of gene location and coding regions, gene annotation helps us have an insight of what these genes do in the body by establishing structural aspects and relating them to functions of different proteins. The initial process in gene annotation and involve identification by physical appearance, chemical composition, molecular weight variations, and general morphology.
Multiple sequence alignment (MSA) methods refer to a series of algorithmic solution for the alignment of evolutionarily related sequences, while taking into account evolutionary events such as mutations, insertions, deletions and rearrangements under certain conditions. These methods can be applied to DNA, RNA or protein sequences.
A biological database is a large, organized body of persistent data, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system. Data Mining is the process of automatic discovery of novel and understandable models and patterns from large amounts of data. Bioinformatics is the science of storing, analyzing, and utilizing information from biological data such as sequences, molecules, gene expressions, and pathways.
A common approach to interpreting gene expression data is gene set enrichment analysis based on the functional annotation of the differentially expressed genes. This is useful for finding out if the differentially expressed genes are associated with a certain biological process or molecular function. The Gene Ontology, containing standardised annotation of gene products, is commonly used for this purpose. At the highest level, GO terms cover cellular components, molecular functions, and biological processes.
Polymerase chain reaction (PCR) is an enzymatic reaction whose efficiency and sensitivity largely depend on the efficiency of the primers that are used for the amplification of a concerned gene/DNA fragment. In silico method helps in designing primers. There are various programs available for PCR primer design.
Microarray technology has become one of the indispensable tools that many biologists use to monitor genome wide expression levels of genes in a given organism. Microarrays may be used to measure gene expression in many ways, but one of the most popular applications is to compare expression of a set of genes from a cell maintained in a particular condition (condition A) to the same set of genes from a reference cell maintained under normal conditions (condition B).
NGS technologies, such as WGS, RNA-Seq, WES, WGBS, ChIP-Seq, generate significant amounts of output data. NGS data analysis workflow that includes alignment of NGS reads, identification and annotation of mutations and visualization. It includes sequence quality control and preprocessing, sequence reads alignment and transcript assembly, functional analysis and pathway mapping. Show More
Computer-aided drug design uses computational approaches to discover, develop, and analyze drugs and similar biologically active molecules. CADD is beneficial for pharmaceutical development in the areas of prediction of 3D structures, design of compounds, prediction of druggability, in silico ADMET prediction. Show More
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