Bioinformatics is an interesting and most exciting field as far as the biological research is concerned. Bioinformatics deals with solving the problems of Biology What are some hot research topics in Bioinformatics? Research areas / Thesis supervisors Application for the Thesis Research Plan admission Structural Bioinformatics and Systems Biology. Read 1 answer by scientists to the question asked by Rama Chandra on Sep 6,
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This method is available as a webserver cge. We found that the k-mer based method was very fast and reliable for species identification.
This method is available via genomicepidemiology. We have later adopted the above-described methodology to another typing scheme: We have therefore developed a method for identification of acquired antimicrobial resistance genes Zankari et al.
A major effort was put in to compiling a human curated database based both on public databases and scientific papers. There have been raised concerns that an assigned genotype may not always correspond to a phenotype for example because mutations outside a gene may affect the expression of the gene product.
We therefore conducted a study to compare research areas in bioinformatics and phenotype.
We found that genotyping using whole-genome sequencing is a realistic alternative to surveillance based on phenotypic antimicrobial susceptibility testing Zankari et al.
Tools and Technique Bioinformatics is partly based on tools and technique used earlier to get complete analysis of biological experiments in a shorter period of research areas in bioinformatics. The main aim of developing these tools was to perform those analysis tasks, which were very much time consuming and without which research cannot be taken further [ 24 - 31 research areas in bioinformatics.
BLAST research areas in bioinformatics acronym for basic local alignment searching tool [ 32 - 39 ], which is now a day very popular among molecular biologist for their initial studies, and even for structural biologist who prefer to perform this before showing any structural and functional similarity between two genes.
Similarly for phylogenetic analysis also bioinformatics tools were developed and they were capable of generating various tree based on algorithms like UPGMA, and Neighbor joining methods etc [ 49 - 56 ]. These tools were designed with the help of computer algorithms and with root developing platform of computer languages [ 57 ].
Human Genome Sequencing Human genome sequencing was the basic foundation for origin and evolution of this particular domain of biological research tool. This experiment was very big and time consuming and expected to reach its completion at some later point of time, but still it was completed 2 years early than it research areas in bioinformatics expected to [ 66 - 72 ].
A detailed draft was reported in to show human genome project.
Research areas - DTU Bioinformatics
This project was initially led by a student named Jim Kent. This project was world's largest collaborative biological project research areas in bioinformatics showed big promises in field of molecular medicine and human evolution [ 74 - research areas in bioinformatics ].
Although people were thinking about handling this huge data and keeping it safe, but this was just the beginning of research in molecular biology, after completion of this research project various related project were started to make new holes to understand biological machinery [ 81 - 87 ].
Molecular Biology Data World has seen enormous amount of data generated by molecular biologists and the difficulties to handle them in previous decades during 20th century.
- What are some hot research topics in Bioinformatics? - Quora
- Topics in Bioinformatics
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After human genome research areas in bioinformatics, there was a flood of biological research in field of molecular biology and biotechnology started, which was a great source of huge experimental data and to handle that bioinformatics came in existence [ 88 - 94 ].
Bioinformatics made all the data available online and very efficiently able to manage, modify and replace the complete data in a very shorter duration.
Usually molecular biology research areas in bioinformatics have lots of analysis and hence generate large data [ 95 - ], that is why bioinformatics was first of all applied to molecular biology experimental data, but later on it was accepted by almost all fields of biological research.
Structural Bioinformatics It is most emerging part of biological science.
Role of Bioinformatics in Various Aspects of Biological Research: A Mini Review
In this area mainly scientists focus on structure prediction by sequence similarity basis. They follow a common theory that if there is a sequence similarity, there must be some structural similarity and obviously there would be a functional similarity between those two genes [ - ].
Here people perform sequence analysis and based on the similarity they also generate 3D structure of molecules and check their stability also.
With the help of creating maps from Ramchandran plot, scientists and researchers are able to perform stability checks of structures also [ research areas in bioinformatics ].
Major research efforts in the field include sequence alignment, gene finding, genome research areas in bioinformatics, protein structure alignment, protein structure prediction, prediction of gene research areas in bioinformatics and protein-protein interactions, and the modeling of evolution Comparative genomics The core of comparative genome analysis is the establishment of the correspondence between genes orthology analysis or other genomic features in different organisms.