Current developments in bioinformatics and computational biology A systematic review - Pubrica


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• Bioinformatics includes information technology and computers to large molecular biology data sets. • Bioinformatics is anticipated as a cutting-edge branch of the biotechnology sector, which help in drug innovation and personalized medical treatments. Continue Reading: http://bit.ly/2QeS9m4 Reference: https://pubrica.com/services/research-services/systematic-review/ Why Pubrica: When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts.   Contact us :      Web: https://pubrica.com/  Blog: https://pubrica.com/academy/  Email: [email protected]  WhatsApp : +91 9884350006  United Kingdom: +44- 74248 10299

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Current developments in bioinformatics and computational biology A systematic review - Pubrica

Current Developments in Bioinformatics and Computational Biology: A Systematic Review Dr. Nancy Agnes, Head, Technical Operations, Pubrica [email protected] In-Brief multilingual knowledge to use recent bioinformatics sources powered with Bioinformatics includes information advanced operating systems, software, and technology and computers to large database/networking technologies. molecular biology data sets. Bioinformatics A systematic review paper helps create a is anticipated as a cutting-edge branch of review that formulates a question that the biotechnology sector, which help in uses systematic and reproducible methods to drug innovation and personalized medical identify, select and critically appraise all treatments. The field closely associates relevant research, and gather and analyze artificial intelligence and computer science data from the analysis included in with microbiology and genomics. the Review. Keywords: systematic review services, II. SYSTEMATIC REVIEW WRITING conducting a systematic review, systematic review paper, systematic review writing Bioinformatics encourages prospects for service, Systematic Review writing help, novel discoveries and reveals pathways for systematic review writing, systematic review biological experiments with the support of writing help data analysis. Research in this field mainly depends on high-quality databases to offer I. INTRODUCTION precise outcomes. However, most biological databases have obtainable mistakes, such as Bioinformatics is an interdisciplinary field data wrongly classified or incomplete of life sciences that develops methods and information. These mistakes may be software tools that help understand problematic. Recent data mining algorithms biological data, particularly when the data may use the filter data. However, sometimes sets are large. Its application and research these algorithms cannot treat these faults, comprise genomics data analysis, genome leading to severe problems for analysis. annotation, molecular folding, gene/protein Manual data curation and extracted data prediction and molecular sequence. It also from literature is a solution to this problem. includes developing databases and data For example, a database of mutations effects management systems, software and analysis on protein-ligand affinities, composed of tools. 1,000 mutations, was generated through a Bioinformatics education and training are deep search in the literature. Nevertheless, necessary to understand the basics and the manual analysis may be address bias specifics of bioinformatics and create new risk, which may not collect all possible data generation specialists and scientists with necessary for a determined study. integrated, interdisciplinary, and Copyright © 2021 pubrica. All rights reserved 1 Manual curation also permits the It is used in designing the structuring of identification of mistakes and, when biological molecules and enzymes. There possible, corrects them. Therefore, are few examples where they are widely in systematic literature reviews used to collect use de novo protein design, protein-peptide data for bioinformatics analysis. Systematic interaction, protein-ligand/drug docking, Review is a technique used to discover, enzyme design, macromolecular complexes, estimate and summarize the state-of-the-art and structure prediction of biological of a precise theme in the literature. macromolecules. It supports the prediction Systematic Review writing helps gather that the structure of a protein depends on the literature information restrictively that known structure of a homologous protein(s). allows a rigorous methodological analysis Apart from that, the discovery of secondary, with lower prejudice than the traditional tertiary, and quaternary structures of reviews. Conducting a systematic review, proteins is significant to understand proteins' the objective is to build a general vision of a function. The exact three-dimensional specific question and give it a reasonable structure is necessary for correct function, summary of the literature. To perform and a failure to fold into native construct systematic reviews is essential to follow a generally produces inactive proteins or pre-established and well-defined protocol. misfolded proteins that can be toxic. Following the distinct systematic steps may guarantee the reproducibility of the study. Some monitors have been proposed to help commentators to construct Systematic Literature Review. Also, estimation approaches of Systematic Literature Review quality, such as the PRISMA declaration, is which PRISMA (Preferred Reporting Items for Systematic Reviews and MetaAnalyses) describes a set of items to help authors advance the reporting of Systematic Literature Review. III. STRUCTURAL BIOINFORMATICS: MOLECULAR FOLDING, MODELLING, AND DESIGN One of the commonly used applications of bioinformatics is the identification of three- dimensional protein molecular modelling, structure, and folding to forecast the possible function of proteins or model IV. BIOLOGICAL NETWORKS AND behaviour of molecules, other molecular SYSTEM BIOLOGY structures, fold the molecule to its natural biologically functional three-dimensional The properties of network topology are structure and help in creating biomedical widely applied in many scientific fields, drugs for various complicated human including bioinformatics, leading to the diseases. construction of large-scale biological Copyright © 2021 pubrica. All rights reserved 2 networks represented as "omes" like biome, generation of bioinformatics tools and interactome, microbiome. software that are user-friendly and must The above emphasized molecular sequence perform integrated and extended analysis analysis, annotation, prediction, and with better visualization and graphical molecular modelling-associated to outputs. bioinformatics methods are also the Some of the open-source software packages principal for organizing, building, and include UGENE, EMBOSS, GenGIS, genetic and biochemical pathways of GENtle, BioPerl, PathVisio, GenoCAD, complex cellular processes. These signal GenomeSpace, Biopython, Bioclipse, transduction comprise reception, and gene GeWorkbench, .NET Bio, Apache Taverna, co-expression and gene regulation. Such BioJS, Bioconductor, BioJava, and molecular networks incorporate various data BioRuby. types, including DNA sequences, regulatory RNA, proteins, gene expression data, VI. TEXT MINING secondary metabolites, and other small molecules, which may be connected Bioinformatics research and application aim physically and functionally. The structuring to use computational algorithms and and organization of such physically and bioinformatics tools to gather, construct, and functionally connected molecular networks structure the increasing body of biomedical of cellular processes can be achieved only literature permutes scientists to question, by applying the combination of simulative, mine, study, and synthesize the particular iterative, and model-oriented bioinformatics literature and published articles of their approaches. research interest. Therefore, text mining and biomedical V. SOFTWARE, ANALYSIS TOOLS, literature play a significant role in the SERVICES, AND WORKFLOW scientific enhancement, inventions, and application and integration of discoveries to The key driving force for the present and society through extracting information (EI) future development of bioinformatics and assessing the relationships of software and tools, which help in the publications. progress of genome decoding technologies, Biomedical literature text mining uses consequent required for their analyses, various "text mining & data mining" tools, accretion of large volume biological data, as visualization and navigation, information well as the development of computer retrieval, applying techniques such as data technologies, visualization, graphics, and clustering and extraction, and text networking techniques and molecular categorization and summarization. modelling. Moreover, the availability of numerous VII. CONCLUSION shared object models, open-source codes, and community-maintained plug-ins helps Systematic literature reviews used to collect collect new ideas from the community and data for bioinformatics analysis. It is a perform innovative in silico experiments on technique used to discover, estimate and current "Big Data." summarize the state-of-the-art of a precise These all make way for research groups and theme in the literature. Systematic Literature bioinformatics corporations to experiment, Review permits gathering literature work, and create a more innovative information restrictively that allows a Copyright © 2021 pubrica. All rights reserved 2 rigorous methodological analysis with lower bias than the traditional reviews. The objective is to build a general vision of a specific question and give it a reasonable summary of the literature. Hence, to perform systematic reviews is essential to follow a pre-established and well-defined protocol. REFERENCES 1. Zomaya, A. Y. (2005). Parallel computing for bioinformatics and computational biology. Wiley. 2. Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., ... & Zhang, J. (2004). Bioconductor: open software development for computational biology and bioinformatics. Genome Biology, 5(10), 1-16. Copyright © 2021 pubrica. All rights reserved 2