The results of many “standard” bioinformatics analyses are usually lists of variants, transcripts, or genes and some statistic such as a gene name, fold change, and multiple testing corrected P-value for a gene expression study; or a SNP, odds ratio, and p-value for an association to a disease phenotype from a genetic association study. Most of the time, these “gene lists” are derived from tests that examine a single genetic variant or over/under-expression of a single gene at a time between two conditions. However, the prevailing view is that complex phenotypes are not the result of a single gene but reflect abnormalities in the entire cellular network that links tissues and organ systems. A better understanding of how genetic variants, gene expression, DNA binding, and DNA methylation at multiple loci throughout the genome work together to influence the presentation of a complex phenotype may lead to discovery and characterization of unknown biological processes.
This is the basis for “functional analysis” or functional annotation putting lists of genes into biological context. Following is an incomplete list of these kinds of analysis the core can help with.
Ingenuity Pathway Analysis
Upstream transcription factors that influence our gene’s expression
Structural and functional bioinformatics help us to design and formulate prognostic computational models and frameworks that exploit our growing knowledge of biological macromolecules in terms of their structural organization and functional capabilities. Integration of structural and functional biochemistry of macromolecules with informatics empowers significant progress in understanding the fundamentals of biology.
Structural and functional bioinformatics aimed to unravel biological problems by analyzing sequences of biological molecules such as DNA and protein using computational algorithms, informatics tools and software’s to assess molecular data. Some of the applications of this novel field are given below:
Prediction of protein structure: Understanding the correlation between amino acid sequence and the three dimensional structure of protein, it can be helpful for determining protein structure from its amino acid sequence. Numerous bioinformatics tools could be utilized for protein structure and function prediction including secondary structure prediction, homology modeling, protein threading, ab initio methods, prediction of motif, domain, transmembrane helix, signal peptide etc.
With the high speed DNA sequencing of genome, databases of genome data continue to grow, and the understanding of genetic variation between individuals grows as well. Single nucleotide polymorphisms (SNPs), a main type of genetic variation, are increasingly important resource for understanding the structure and function of the human genome and become a valuable resource for investigating the genetic basis of disease. During the past years, in addition to experimental approaches to characterize specific variants, intense bioinformatics techniques were applied to understand effects of these genetic changes. In the genetics studies, one intends to understand the molecular basis of disease, and computational methods are becoming increasingly important for SNPs selection, prediction and understanding the downstream effects of genetic variation.
Our company BioinfoLytics is affliated with BioCode and is a project, where we are providing many topics on Genomics, Proteomics, their analysis using many tools in a better and advance way, Sequence Alignment & Analysis, Bioinformatics Scripting & Software Development, Phylogenetic and Phylogenomic Analysis, Functional Analysis, Biological Data Analysis & Visualization, Custom Analysis, Biological Database Analysis, Molecular Docking, Protein Structure Prediction and Molecular Dynamics etc. for the seekers of Biocode to further develop their interest to take part in these services to fulfill their requirements and obtain their desired results. We are providing such a platform where one can find opportunity to learn, research projects analysis and get help and huge knowledge based on molecular, computational and analytical biology.
We are providing “Functional Analysis” service to the bioinformatics community through our expertise to make progress in the field of structural and functional bioinformatics includes future contribution to structural and functional understanding of the macromolecules such as DNA, proteins, lipids etc for the better apprehension of the biological processes and pathways on which the origin of life rely.