Current developments in bioinformatics and computational biology A systematic review - Pubrica
                     CURRENT DEVELOPMENTS  
IN BIOINFORMATICS AND  
COMPUTATIONAL 
AB ISOYSLTOEGMYAT:IC 
REVIEW
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Pubrica 
 Group: www.pubrica.com
Email: [email protected]
Today's Discussion
Outline
In-Brief  
Introductio
n
Systematic 
Review 
Writing
Structural Bioinformatics: Molecular Folding, Modelling, 
and Design  Biological Networks and System Biology
Software, Analysis Tools, Services, and 
Workflow  Text Mining
Conclusion
In-Brief
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. The field closely associates artificial intelligence and computer science 
 with microbiology and genomics.
Introduction
Bioinformatics is an interdisciplinary field of life sciences  
that develops methods and software tools that help  
understand biological data, particularly when the data sets 
 are large.
Its application and research comprise genomics data  
analysis, genome annotation, molecular folding,  
gene/protein prediction and molecular sequence.
It also includes developing databases and data  
management systems, software and analysis tools.
Contd...
Bioinformatics education and training are necessary to understand the basics and  
specifics of bioinformatics and create new generation specialists and scientists 
 with integrated, interdisciplinary, and multilingual knowledge to use recent  
bioinformatics sources powered with advanced operating systems, software,  
and database/networking technologies.
A systematic review paper helps create a review that formulates a question that  
uses systematic and reproducible methods to identify, select and critically appraise 
 all relevant research, and gather and analyze data from the analysis included 
in  the Review.
Systemati
c  Review  Bioinformaticsencourages  prospects  for novel  
Writing discoveries and reveals pathways for biologicalexperiments with the support of data analysis.
Research in this field mainly depends on high-quality  
databases to offer precise outcomes.
However, most biological databases have obtainable  
mistakes, such as data wrongly classified or incomplete  
information.
These mistakes may be problematic.
Contd...
Recent data mining algorithms may use the filter data.
However, sometimes these algorithms cannot treat these faults, leading to severe 
 problems for analysis.
Manual data curation and extracted data from literature is a solution to this problem.
For example, a database of mutations effects on protein-ligand affinities, composed 
 of 1,000 mutations, was generated through a deep search in the literature.
Contd...
Nevertheless, the manual analysis may be address bias risk, which may not collect 
 all possible data necessary for a determined study.
Manual curation also permits the identification of mistakes and, when
possible,  corrects them.
Systematic literature reviews used to collect data for bioinformatics analysis.
Systematic Review is a technique used to discover, estimate and summarize
the  state-of-the-art of a precise theme in the literature.
Contd...
Systematic Review writing helps gather literature information restrictively that allows a 
 rigorous methodological analysis with lower prejudice than the traditional reviews.
Conducting a systematic review, the objective is to build a general vision of a specific 
 question and give it a reasonable summary of the literature.
To perform systematic reviews is essential to follow a pre-established and
well-  defined protocol.
Following the distinct systematic steps may guarantee the reproducibility of the study.
Contd...
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.
Structural  
Bioinformati One of the  commonyl used applications of
cs:  bioinformatics is the identification of three-
dimensional protein molecular modelling, structure, 
Molecular   and folding to forecast the possible function
Folding,  pofroteins or model behaviour of molecules, other
Modelling, molecular structures, fold the molecule to its naturalbiologically functional three-dimensional structure  
and  Design and help in creating biomedical drugs for various  
complicated human diseases.
It is used in designing the structuring of
biological  molecules and enzymes.
Apart from that, the discovery of secondary, tertiary, and quaternary structures of  
proteins is significant to understand proteins' function.
The exact three-dimensional structure is necessary for correct function, and a  
failure to fold into native construct generally produces inactive proteins or misfolded  
proteins that can be toxic.
Contd.
..

Biological  
Networks  The properties of network topology are widely applied 
and  in many scientific fields, including
lbeioadinifnogr mtoa ticthse,  construction of large-scale biological  
System  networks represented as "omes" like biome,  
Biology interactome, microbiome.
The above emphasized molecular sequence analysis,
annotation, prediction, and molecular
modelling-  associated to bioinformaticsmethods
principal for organizing,arbeuilding, anadlsogenetic the
biochemical pathways of complex cellular processesa.nd
Contd...
These signal transduction comprise reception, and gene co-expression and gene 
 regulation.
Such molecular networks incorporate various data types, including
sequences, regulatory RNA, proteins, DNA  gene expression data,
metabolites, and other small molecules, whicshe cmonadya brye connected physically and  
functionally.
The structuring and organization of such physically and functionally connected  
molecular networks of cellular processes can be achieved only by applying the  
combination of simulative, iterative, and model-oriented bioinformatics approaches.
Software,  
Analysis  The key driving force for the present and futuredevelopment of bioinformatics software and tools,
Tools,  which help in the progress of genome decoding  
Services, technologies, consequent required for their analyses,  accretion of large volume biological data, as well as
and  the development of computer technologies,  
Workflow visualization, graphics, and networking techniques  and molecular modelling.
Moreover, the availability of numerous shared object  
models, open-source codes, and community-  
maintained plug-ins helps collect new ideas from the  
community and perform innovative in silico  
experiments on current "Big Data."
Contd...
These all make way for research groups and bioinformatics corporations to  
experiment, work, and create a more innovative generation of bioinformatics  
tools and software that are user-friendly and must perform integrated and  
extended analysis with better visualization and graphical outputs.
Some of the open-source software packages include EMBOSS,
GUGenEGNIES,, GENtle, BioPerl, PathVisio, GenoCAD, GenomeSpace,
BBioipoyctlihposne,, GeWorkbench, .NETBio, Apache Taverna, BioJS, Bioconductor, 
 BioJava, and BioRuby.
Text  Bioinformatics research and application aim to use computational
Minin algorithms and bioinformatics tools to gather, construct, and  
g structure the increasing body of biomedical literature permutes  scientists to question, mine, study, and synthesize the particular  
literature and published articles of their research interest.
Therefore, text mining and biomedical literature play a significant  
role in the scientific enhancement, inventions, and application and 
 integration of discoveries to society through extracting 
information  (EI) and assessing the relationships of publications.
Biomedical literature text mining uses various "text mining & data  
mining" tools, visualization and navigation, information retrieval,  
applying techniques such as data clustering and extraction, and  
text categorization and summarization.
Conclusio
n
Systematic literature reviews used to collect data for
bioinformatics analysis.
It is a technique used to discover, estimate and summarize  
the state-of-the-art of a precise theme in the literature.
Systematic Literature Review permits gathering literature  
information restrictively that allows a rigorous methodological 
 analysis with lower bias than the traditional reviews.
Contd...
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.
Contact Us
UNITED KINGDOM
+44- 7424810299
INDIA
+91-9884350006
EMAIL
[email protected]