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Journal ArticleDOI

Bioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming Challenges

Dhananjaya P. Singh, +3 more
- Vol. 1, Iss: 1, pp 10-19
TLDR
The ultimate goal of bioinformatics will be such kind of integration of the biological databases and genomic resources that can result in a computer representation of living cells and organisms whereby any aspect of biology can be examined computationally.
Abstract
Problem statement: Bioinformatics in the present day microbiological research is an inevitable subject area that encompasses biological resources and high end computational skills to unravel the coded and encrypted information within the life. We have produced a brief account of the developments and tasks in the subject and upcoming challenges in the subject. The area has seen tremendous developmental pattern in the last few decades due to the emerging computational technologies dedicated for uncovering the complex but vital biological information that not only essentially constitute the basis of life but entails about the evolutionary diversification and multiphasic interaction among the organisms with their own environment. Now, with the technological advancements, bioinformatics has completely changed microbiological domain for researchers. Conclusion/Recommendations: In Future, the ultimate goal of bioinformatics will be such kind of integration of the biological databases and genomic resources that can result in a computer representation of living cells and organisms whereby any aspect of biology can be examined computationally.

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Citations
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Journal ArticleDOI

Microbiome profiling in fresh-cut products

TL;DR: Despite the huge amount of metagenomics data generated in the last decade to profile food microbiome, specific knowledge about fresh fruits and vegetables microbiome is still scarce and production of additional food-related data, such as improved microbial genome assemblies and increased number of microbial reference genome sequences, are needed to perform a robust and reliable analysis.
Journal ArticleDOI

Bioinformatics in High Throughput Sequencing: Application in Evolving Genetic Diseases

TL;DR: Analysis in bioinformatics available in molecular biology focuses on macromolecular structures, genome sequences and gene expression data.
Journal ArticleDOI

Technological Advances in Phytopathogen Detection and Metagenome Profiling Techniques.

TL;DR: Critical analysis of some widely used latest technologies in rapid detection and identification of plant pathogens, and profiling plant associated microbiomes that reveal growth dynamics and population diversity are provided.
Journal ArticleDOI

High Throughput Sequencing Advances and Future Challenges

TL;DR: The key features of HT-NGS like, Key HTS platforms and different sequencing applications, ethical limitation and future prospective are mentioned.
Book ChapterDOI

Bioinformatics in Agriculture: Translating Alphabets for Transformation in the Field

TL;DR: While some “microarray” or “bioinformatics” scientists may have been criticized as doing “cataloging research,” mass of researchers consider that they are genuinely exploring novel scientific and technological systems and techniques to help human health, human food and animal feed production, overall agricultural productivity, and environmental protection.
References
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Journal ArticleDOI

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Journal ArticleDOI

A NEW APPROACH TO DECODING LIFE: Systems Biology

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Journal ArticleDOI

Detecting Protein Function and Protein-Protein Interactions from Genome Sequences

TL;DR: Searching sequences from many genomes revealed 6809 putative protein-protein interactions in Escherichia coli and 45,502 in yeast, and many members of these pairs were confirmed as functionally related; computational filtering further enriches for interactions.
Journal ArticleDOI

Estimating prokaryotic diversity and its limits

TL;DR: It is evident that local and global prokaryotic diversity can be understood through species abundance curves and purely experimental approaches to solving this conundrum will be fruitless.
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