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Opinion - (2021) Volume 0, Issue 0

How Data Science affects Microbiologists: Opinion
Rosana Cruz-piqueras*
 
1Department of Microbiology, University of Bermen, Germany
 
*Correspondence: Rosana Cruz-piqueras, Department of Microbiology, University of Bermen, Germany, Email:

Received: 13-Sep-2021 Published: 30-Sep-2021, DOI: 10.35248/1948-5948.21.S15.001

Abstract

Our daily lives have changed significantly by internet, Computer and telecommunication. Big Data - beginning with the shift from analog records garage to virtual records garage - may be the subsequent huge extrade that likewise will have an effect on the paintings with inside the area of microbiology extensively. While the founders of contemporary-day microbiology approximately a hundred years in the past have cultivated pathogens and inflamed experimental animals to fulfill the ‘Henle Koch postulates’, nowadays we're faced with strategies that produce a big quantity of records.

Introduction

Our daily lives have changed significantly by internet, Computer and telecommunication. Big Data - beginning with the shift from analog records garage to virtual records garage - may be the subsequent huge extrade that likewise will have an effect on the paintings with inside the area of microbiology extensively. While the founders of contemporary-day microbiology approximately a hundred years in the past have cultivated pathogens and inflamed experimental animals to fulfill the ‘Henle Koch postulates’, nowadays we're faced with strategies that produce a big quantity of records. In particular, precise strategies input the gambling area. The first is Next Generation whole genome Sequencing (NGS), the second one quantitative mass spectrometry [1-3].

After the method of pyrosequencing as a pioneer method has made the step forward for NGS in microbiology, many new sequencing techniques had been developed. In precise sequencing via way of means of synthesis (Illumina), that's quite inexpensive, and single-molecule real-time sequencing (SMRT-Sequencing; Pacific Biosciences), which mainly can provide absolutely closed genomes, are actually well-hooked up in microbiology [4-6]. Both strategies offer Gigabytes of records and with those uncooked records a massive quantity of information, that's to extract and visualize via way of means of the microbiologist - that turns her or him extra or much less right into a bioinformatician.

New NGS-primarily based totally phylogenetic typing approaches like middle genome or complete genome multi-locus collection typing (cg/wg MLST) offer tons better discriminatory energy and there with well-set up typing techniques like Pulsed-Field Gel Electrophoresis (PFGE), ribotyping, Multiple Loci VNTR Analysis (MLVA), serotyping, seven - gene Multi - Locus Sequence Typing (MLST) and a few different techniques lose their position as gold preferred of their precise field. Only some years in the past a deadly disease scenario changed into showed through offering e.g. equal PFGE pattern, today ‘Call SNPs & Infer Phylogeny’ evaluation frequently provide an all-clean in which it has now no longer been technically feasible recently [7]. However, nonetheless there's no settlement on what number of one nucleotide polymorphisms in a single genome are probable collection mistakes or actual mutations which might be a end result of micro evolution. Additionally NGS facts offer records approximately virulence factors, resistance genes,plasmids, phages, restrict change structures and toxins. Thus it's far viable to expect critical factors of the phenotype. There are already methods to decide the ribotype from the genome collection. Additionally SMRT sequencing (Pacific Biosciences) gives extraordinary records approximately the microbial methylome, which opens new doorways to have a look at epigenetic law of genes and DNA uptake.

While complete genome sequencing offers an encompassing evaluate of the capacity of a microorganism; quantitative mass spectrometric strategies offer complete records at the proteomic adjustments in reaction to unique stressors. The maximum critical strategies on this subject are ‘Stable Isotope Labeling through Amino acids in Cell culture’ (SILAC) primarily based totally at the detection of labelled proteins the use of non-radioactive isotopes, and label-free ‘Sequential Window Acquisition of all Theoretical Mass Spectra’ (SWATH-MS) that mixes the shotgun proteomics strategy, wherein proteolytic peptides are analyzed, with records unbiased acquisition related with peptide spectral library match. Both, strategies offer qualitative and quantitative statistics approximately numerous loads of protein species that may be detected in a sequence of experimental runs. Furthermore, the records of various experimental methods e.g. various intensities or varieties of stressors may be compared. This very complicated statistics affords a deeper knowledge now no longer handiest of the regulatory networks of the unique micro-organism however additionally of the host cells optionally protected in an experimental setting.

Transcriptome evaluation is biologically in-among entire genome sequencing and quantitative mass spectrometry and might have been cited as a 3rd large facts presenting technology, however I suppose this method has misplaced lots of its significance because of the quantitative mass spectrometric techniques. Otherwise, RNA sequencing ought to be visible as a sub-field of NGS. The sum of all messenger RNA molecules offers a higher idea of the organic approaches than the genome sequencing on my own especially if similarly to the molecular identitiesevery specific RNA is quantified.

As a medical microbiologist, I would love to feature one similarly massive records presenting device here, the medical facts received from the digital fitness record. It completes the photo of host tissue tropism, antibiotic resistance, virulence and microevolution with records approximately healing efficiency, pathogenesis, pharmacokinetics and very last outcome.

All collectively a lot of these strategies are appreciably converting the daily ordinary of the microbiologist. To gain the uncooked facts, to lessen the critical facts out of it and from time to time to visualize them to give them to colleagues from a specific concern region calls for a few extra pc talents than years before. Previously, the microbiologist needed to extend small matters to cause them to understandable - these days he has to lessen big quantities of facts to a small understandable measure [8].

REFERENCES

Citation: Rosana CP (2021) How Data Science affects Microbiologists: Opinion. J Microb Biochem Technol.S15:001.DOI:10.35248/1948-5948.21.S15.001.

Copyright: 2021 Rosana CP. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.