The Scope of Cloud Computing Audit for Business Essay

The Scope of Cloud Computing Audit for Business Essay

Instructions/Descriptions

The Scope of Cloud Computing Audit for Business Essay

Institution

Cloud computing refers to a model that enables and gives data access to users to arranged computing resources such as networks, services, and applications, as well as storage. It binds together applications, internet connectivity, and manageable services and ensures that the resources are rapidly provided with reduced management efforts as well as interaction with the service provider (Mushtaq et al., 2017).

Cloud computing audit refers to where a third party, usually an independent group is involved in obtaining evidence which may be through physical inspection, inspection, inquiry and systematic procedures. With day to day advancement of technology, many businesses and organizations are adopting cloud computing due to its continuous gain in popularity.

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Cloud computing has a lot of merits to a business in that business time and money is saved since productivity is boosted, innovation is promoted and collaboration with other personnel is improved, With any compatible device anywhere, a business can access information from cloud computing since it stores data on the internet rather than storing the information on one’s computer. Users of cloud computing are always kept updated as data is synchronized for all connected devices (Singh et al., 2015). The services of cloud computing range from data storage to programs that are functional such as accounting and customer services tools. For a business, the owner can use public cloud, hybrid and private cloud services to provide services and store data.

Objectives included in the audit should be well known and business objectives should be aligned with these objectives. This is to ensure that resources, as well as time, will be spent well in achieving a firm internal control environment. These objectives include defining a strategic IT plan, and the use of the IT resources requires to be in line with the business strategies specified. The information architecture is another objective. It should be well defined and it includes security needed tin safeguarding security of information, network, and systems. A business should create policies as well as procedures that are well standardized and documented for a stable environment (Chou, 2015).

These policies include roles and responsibilities, management of risk as well as organizational structure. Ensuring that objectives, policies, and mission of the business is communicated is another critical objective. Management should make sure that the organization gets the information. Also, management should record those risks that are likely to affect the business objectives as well as identify the risks that can affect the accuracy, safety, and reliability of the business’ sensitive information

In the scope of cloud computing, consideration of the specified procedures that are condition to the audit is important. Some aspects that are considered essential in cloud computing include monitoring of activities of the business and inspection of passwords and individuals who enter the network (Chou, 2015). Management of change is also important as it ensures that evidence to confirm changes are documented as well as defined is well inspected (Singh et al., 2015).

Usually, an auditor can freely enquire and review evidence-based on available controls to gain more information on controls design and their operation. Unfortunately, cloud vendors’ don’t include their controls in cloud computing audit but to an only specific organization that utilize the cloud for business operations

References

Chou, D. C. (2015). Cloud computing risk and audit issues. Computer Standards & Interfaces, 42, 137-142.

Mushtaq, M. O., Shahzad, F., Tariq, M. O., Riaz, M., & Majeed, B. (2017). An efficient framework for information security in cloud computing using auditing algorithm shell (AAS). arXiv preprint arXiv:1702.07140…

Singh, J., Powles, J., Pasquier, T., & Bacon, J. (2015). Data flow management and compliance in cloud computing. IEEE Cloud Computing, 2(4), 24-32.

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Bioinformatics

Purpose: Bioinformatics is the combination of computer science and biology which used various methods of storing and retrieving the biological data which have pros and cons, scientists are able to discover new information on various diseases, its mutation, it helps in differentiating one organism from another by analyzing their genetic data, biological development and will stop various crimes, disadvantages and develops the algorithm that helps in measuring the sequence similarity.

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1. Introduction: Bioinformatics is a field which include molecular biology, statistics, issues, computer problems, and extensive mathematics complex problem. It has two stages deliberately gather various insights from the natural information and to make a computational model. It can be found in the study area of precision and preventive medicine.
2. Background info on of bioinformatics Comment by R Daniel Creider: A, B, C and D are not a part of the introduction. The outline is not organized correctly
3. How to approach bioinformatics?
4. Goals of Bioinformatics
5. Development of efficient algorithms
6. Extension of experimental data by predictions
7. Advantages of bioinformatics
8. World is getting information on new discovery and crimes are prevented
9. Discover new information on various diseases
10. How organisms mutate
11. How it analyses data to differentiate one organism from another
12. Disadvantages of bioinformatics
13. Data manipulation, complexity, lack of well-trained manpower to use the software
14. Misuse of the information
15. Problems behinds it
16. Data about the genetic information lack proper analyzed
17. Importance of Bioinformatics
18. Genetic research
19. Genomics and proteomics
20. Solution of the problem
21. Use software wisely
22. Decrease its complexity
23. Future of the bioinformatics
24. Bioinformatics is the present and future of biotechnology
25. Use for research and exchange information for comparison, storage and analysis

BIOINFORMATICS: A Technical Report

Texas A&M University-Commerce

Bishow Kunwar Comment by R Daniel Creider: Your name comes before the name of the University.

Abstract

The main aim of Bioinformatics is to improve the various methods of storing, retrieving and organizing the biological data by critically evaluating the data. The effectiveness of bi informatics in the field of genetics and genomics is playing its part in a way that particularly in textual mining of biological development. Bioinformatics is the application which is the mix of two fields (software engineering and science). It is a field that includes different things like sub-atomic science, measurement issues, software engineering issues, and broad arithmetic complex issues.

Keywords; Bioinformatics, Genetic, Genomic, Biological Development

Introduction:

Bioinformatics is the application which is the combination of two fields (computer science and biology). It is a field that involves multiple things like molecular biology, statistics issues, computer science problems, and extensive mathematics complex problems. In bioinformatics, large amounts of data-intense problems are resolved and through the computational point of view. Bioinformatics usually has two steps, the first step is to carefully collect various statistics from the biological data which is available or provided and afterward make a computational model resolve the problems by testing and evaluating it (Baxevanis, 2020). The main aim of Bioinformatics is to improve the various methods of storing, retrieving and organizing the biological data by critically evaluating the data. According to facts, the major activity which has occurred in the bioinformatics field is to develop the software tools which will analyze the biological problems and provide solutions for it.

With the rapid enhancement in the field of IT, many complex problems have also raised which are causing many problems specifically biological problems. Bioinformatics is effectively playing its parts in many biology areas where a huge amount of raw data is available with multiple molecular problems. Bioinformatics will also help to extract large amounts of results from the extensive raw data and the techniques used in it are signal processing and image processing. Bioinformatics played its effective part in the field of genomics and genetics. The importance of bioinformatics is increasing day by day. The typical workflow of the sequencing whole genome is as follow:

1. Carefully control the quality of the data and then improvised it for effectiveness
2. Genome assembly is necessary
3. The post-assembly analysis is required to identify the solution for the problem

The effectiveness of bi informatics in the field of genetics and genomics is playing its part in a way that it particularly in textual mining of the biological development and literature and then organize it and the other biological query data to solve the problems. The tools of bioinformatics have provided a deep understanding of the revolutionary aspects of molecular biology by doing the comparison of the genomic data and genetic (Artimo, 2012). Bioinformatics applications have a vast range of benefits for its users, some of them are listed below: Comment by R Daniel Creider: You need to be careful in using sentences from an article word for word without quotes. In addition not everything in a paper can be quoted and much of it is paraphrasing the article in your own words.

• Molecular medicine
• Agriculture
• Comparative studies
• Microbial genome applications
• Animals

Bioinformatics is the application which is the mix of two fields (software engineering and science). It is a field that includes different things like sub-atomic science, measurement issues, software engineering issues, and broad arithmetic complex issues. In bioinformatics enormous measures of information, serious issues are settled and through computational perspective. Bioinformatics, for the most part, has two stages, the initial step is to deliberately gather different insights from the natural information which is accessible or given and a while later make a computational model to determine the issues by testing and assessing it. The primary point of Bioinformatics is to improve the different strategies for putting away, recovering and arranging the natural information by critically assessing the information. As indicated by realities the significant movement which has happened in the bioinformatics field is to build up the product devices which will dissect the organic issues and give answers for it (Mount, 2001).

It has two fields of application; precision and preventive medicine. Precision medicine application consists of health care methods and techniques for the prevention of diseases like influenza, diabetes, heart diseases, and cancer.

How to Approach Bioinformatics?

First step is to learn about biology which include genes, DNA, RNA, synthesis process, and the protein structure and then the study of biological sequences. The use of algorithm, machine level languages, data mining, the knowledge of statistics and programming are the important approach for the bioinformatics. This approach helps to explore biological networks, structural bioinformatics and systems biology.

Goals of Bioinformatics

The development of algorithm to measure sequence similarity is the main goal of bioinformatics. The Needleman-Wunsch algorithm is used to find the sequence. It divides large sequence into the short sequence segments which help to use for the solution of the large problems. The next goal is the prediction of protein structure from an amino acid sequence.

1. Advantages of bioinformatics Comment by R Daniel Creider: Why do you have a “1” when there is no 2. Is this labeling necessary and needed?

There are numerous advantages of bioinformatics which is really resolving the most complex of the people and proving them optimal solutions. Some of the interesting merits of bioinformatics field are listed below which are effectively playing their part

1. a) The world is getting information on new discovery and crimes are prevented Comment by R Daniel Creider: Are the labels and headings needed?

Bioinformatics is really helping the crime branch departments in catching the criminals through different techniques that are used in forensic labs. In forensics labs, the thumbs of the criminals are scanned whenever there is some suspected person brought. They will scanned the criminal fingers and thumb and then match it with the already suspected criminal if they will match then It will identify that the present person is the guilty one and have committed the sin and this way it will create a fear in the minds of the persons who will try to commit some sin that this technology will catch them. In this same way, the DNA methods will also help effectively specifically in the rape cases, because only through DNA sequencing the person will be easily identified and can be punished. Different causes can be solved using bioinformatics (Gu, 2009).

Bioinformatics is truly helping the wrongdoing branch divisions in getting the lawbreakers through various strategies that are utilized in scientific labs. In legal sciences labs, the thumbs of the crooks are checked at whatever point there is some speculated individual brought. They will have checked the criminal fingers and thumb and afterward coordinate it with the effectively presumed criminal in the event that they will coordinate, at that point It will recognize that the present individual is the blameworthy one and have perpetrated the transgression and along these lines, it will make a dread in the psyches of the people who will attempt to carry out some wrongdoing that this innovation will get them.

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1. b) Discover new information on various diseases

The new information can be easily identified by using the bioinformatics techniques and tools because it has stored all the biological data in the database which will be compared with the computational algorithm which the scientist has developed in order to recognize the new disease whenever it will disturb the drugs of the human body. According to the research, some complex algorithms have been developed to diagnose critical problems at their initial stages with the help of the old traditional clinical data, by comparing it with the modern DNA technology, then the data mining technique will be used to analyze each patient genetics problems with the provided data. It can also help to predict data so that decision making can be done easily and perfectly (Min, 2017).

The new data can be effectively distinguished by utilizing the bioinformatics systems and instruments since it has put away all the natural information in the database which will be contrasted and the computational calculation which the researcher has created so as to perceive the new sickness at whatever point it will upset the medications of the human body.

1. c) How organisms mutate

Mutation usually occurred when the DNA of a person changes. These changes can be occurred due to many problems such as the environmental problems which can cause health issues, exposure to multiple chemicals can be really destructive. But using bioinformatics we can easily improvised and improved these things in a better way. Mutation of organisms in which the combination of a proper strategy to develop the optimized function in which the combination with which the organizational analysis should be validated in the context of complete orientation with which the management of the functional information should be validated. Transformation ordinarily happened when the DNA of individual changes.

These progressions can be happened because of numerous issues, for example, the environmental issues which can cause the medical problems, presentation of different synthetics can be extremely dangerous. Yet, utilizing the bioinformatics we can without much of a stretch ad-libbed and improved these things in a superior manner (Larranaga, 2006). Transformation of creatures in which the mix of appropriate procedure to build up the enhanced capacity where the mix with which the authoritative examination ought to be approved with regards to finish direction with which the administration of the practical data ought to be approved.

1. d) How it analyses data to differentiate one organism from another Comment by R Daniel Creider: What is ”it” referring to here?

Every single organism of an individual is entirely different from the other person because of genomes and genetics. Bioinformatics will help to differentiate between multiple persons so that the relevant problems of the person can be identified (Blasco, Narayan, Sergeeve, Endres, & Natoli, 2019). Each living being of an individual is totally unique in relation to the next individual on account of the genomes and the hereditary qualities. Bioinformatics will assist with separating between different people so the significant issues of the individual can be distinguished.

If the protection doesn’t keep up, at that point the patients are not verified and there is a chance that their information will be controlled by wrong individuals.

On the off chance, if the information is in tremendous sum, at that point, it will be intricate to investigate it and on the off chance that it doesn’t break down appropriately, at that point it will don’t give the ideal outcomes and the best possible dynamic won’t be done one of the greatest disservices of bioinformatics is that individuals are not completely mindful with this things and doesn’t comprehend the multifaceted nature of it profoundly so on the off chance that the bioinformatics programming are given to them and without preparing, at that point clearly they will just prompt demolition which can be expensive.

Information is the most significant data in bioinformatics in light of the fact that right now, information isn’t about straight items yet the natural components are engaged with that part which implies the cooperation of information controlling ought not be imparted to the unlawful sources while the thought of the information structure area must meet the utilitarian prerequisites to ensure that the collaboration and investigation can be progressively evolved with the viewpoint of demonstrating and execution according to the structure of the information the board strategies utilized for the enhancement and the executives of the information concerns associated with the correct efficient methodologies with which the total information security procedures ought to be utilized in the useful necessities of the various ways to deal with store the information the board ease of use.

1. Disadvantages of bioinformatics
2. a) Data manipulation, complexity, lack of well-trained manpower to use the software

If the privacy doesn’t maintain then the patients are not secure and there is a chance that their data will be manipulated by wrong people. If the data is in huge amount then it will be complex to analyze it and if it doesn’t analyze properly then it will doesn’t provide the optimal results and the proper decision making will not be done one of the biggest disadvantages of bioinformatics is that people are not fully aware with this things and doesn’t understand the complexity of it deeply so if the bioinformatics software is given to them and without training then it is obvious that they will only lead to destruction which can be very costly.

Data is the most important information in bioinformatics because, in this field, the data is not about linear objects but the biological factors are involved in that part which means the collaboration of data controlling should not be shared with the illegal sources while the consideration of the data structure domain must be meeting the functional requirements to make sure that the interaction and analysis can be more developed with the perspective of modeling and execution as per the structure of the data management techniques used for the optimization and management of the data concerns involved in the proper systematic approaches with which the complete data security techniques should be used in the functional requirements of the different approaches to store the data management usability.

Data in this field can be used for a lot of cybercrimes so that the evaluation and analysis must be deployed with the structure of the feasibility level analysis with which the completion of the diversified analysis can be validated with the concatenation of data should be pre-developed and should be secured (Gibas, 2001).

To ensure that the business-level strategies are working in the field of bioinformatics, there should be a lot of genetic algorithms to manage the domain level integration with which the completion of the data management analytics must be ensured according to the brief analysis with which the verification of the system management models should be controlled according to the strategies of the complete data evaluation and controlling which can be used to understanding the proper functions to make sure that the business level brief must be controlled as per the structure of the modeling and integration to make sure that the data security can be deployed.

1. b) Misuse of the information

The person who has the responsibility to use the software of the bioinformatics have all the relevant information about the person according to the relevant field, if the person will leak the information of the person or the organization to any third party or misuse the information for its own benefit then it can be really dangerous because the information of the person may be confidential and doesn’t have to share but with bad intention of that particular person the information is shared and can be used negatively by many people.

Data can be misused in any department and it is not easy to reach the person who leaks the data according to functional data management breaking. In the contrast of the complete orientation of data management and analysis should be developed with the concatenation of the different approaches and analytics with which the evaluation should be validated in the concern of the data structure because the information should not be misused in the verification process modeling in which the business level controlling should be managed in the set of the complete combination and management to ensure the business level information to maintain the complete business level orientation to secure the business management techniques to integrate the proper strategies with the initial level of the data evaluation with which the techniques should be controlled in the concerns of the data execution and analysis with which the combination and set of complete management should be done in a secure way.

The approaches in which the collaboration of the systematic information, there should be the platform of integration in which the different managerial integration to develop the business level analysis with which the combination of the modeling and execution with which the approaches should be more verified. In the context of bioinformatics, it is necessary to set the complete managerial development and modeling in which the contrast of service level analytics should be measured in the combination of proper

It is also considered as the major disadvantage with which the initialization and management of the data security and management with which the secure transmission of genetic data in which the execution and control of the development approach as there are a lot of configuration and algorithm in which the interactive management with which the proper information security should be implemented with the concern in which the collaborative index should be managed in which the proper data security functions should be evaluated in terms of the bioinformatics security.

In most of the context, the data domain should be shared in which the collaborative analysis should be deployed in the concern of complete system models with which the integration of the structural information should be shared in the concern of the complete secure analysis with which the collaboration of the business management information in which the strategies should be managed about the acknowledgment of the brief domain of the level with which the interaction must be optimized with the security measures involved in the consideration of data management domain (Ewens, 2006).

The methodologies where the coordinated effort of the efficient data, there ought to be the foundation of mix wherein the distinctive administrative reconciliation to build up the business level investigation with which the mix of the demonstrating and execution with which the methodologies ought to be progressively checked. With regards to bioinformatics, it is important to set the total administrative improvement and demonstrating in which the differentiation of administration level investigation ought to be estimated in the blend of appropriate.

Problem Statement

Problem analysis is about defining the complex algorithms to resolve the complete problems using terms and conditions in business analytics based on which the collaboration of neural networks must be evaluated as per the concerns of the system management as per the interacted functionalities with which the algorithm planning and execution should be more defined. Here and there the examination of the information become complex in light of the fact that the information about the hereditary data ought to be appropriately broke down as for the structure of legitimate where the procedures and approval of the information investigation utilizing life form information should be possible while the issue can be settled by utilizing the AI apparatuses with the goal that the neural systems can be prepared in which the coordination and functionalities ought to be approved according to the worry of the bioinformatics. In the execution and control of the key examination, there ought to be the finished direction of the concise framework displaying and execution with which the reconciliation and the board ought to be controlled in which the bioinformatics must be characterized with the worry level data about the best possible information assessment. In the thought of various methodologies about bioinformatics according to the investigation and improvement as per the arranging and execution about the information. Issue examination is tied in with characterizing the mind-boggling calculations to determine the total issues utilizing terms and conditions in business investigation dependent on which the joint effort of neural systems must be assessed according to the worries of the framework the board according to the interfaced functionalities with which the calculation arranging and execution ought to be increasingly characterized.

The problem solution can be defined with the collaboration of complete genetic research in which the integration and analysis should be controlled in a proper way to make sure that the structure of genetics should be controlled with the functional information about the analytical structure with which the combination of the network models is verified with respect to the combination of neural networks in which the genetic algorithms are properly involved. It is necessary to set the business management approaches to make sure that the interaction and analysis with which the functionalities of the approach level analysis should be controlled to develop the understanding in which the managerial information should be developed as per the consideration of problem analysis and functional domain with which the combination should be purified with the results management and modeling.

In the concern of Artificial Intelligence, it is cleared to set the problem information in which the business level analysis can be managed to validate the services with the combination of proper dataset execution with which the management of data about genetic analysis should be modified with the problem analysis to develop the understanding of the techniques of pure data analysis with managerial information to set the solution. The issue arrangement can be characterized with the coordinated effort of complete hereditary research where the joining and examination ought to be controlled in a legitimate manner to ensure that the structure of hereditary qualities ought to be controlled with the practical data about the scientific structure with which the mix of the system models is confirmed as for the mix of neural systems wherein the hereditary calculations are appropriately included. It is important to set the business the executives ways to deal with ensure that the connection and examination with which the functionalities of the methodology level investigation ought to be controlled to build up the comprehension in which the administrative data ought to be created according to the thought of issue investigation and practical area with which the blend ought to be filtered with the outcomes the executives and demonstrating. In the worry of Artificial Intelligence, it is cleared to set the issue data in which the business level investigation can be figured out how to approve the administrations with the mix of appropriate dataset execution with which the administration of information about hereditary examination ought to be adjusted with the issue examination to build up the comprehension of the procedures of unadulterated information examination with administrative data to set the arrangement.

Importance of Bioinformatics

Genetic Research

Genetic research is one of the most important part of bioinformatics in which the structure of the complete orientation and management of the proper analysis with which the integration of the complete structural research can be done in a brief way with which the genetics should be managed according to the functionalities of the complete oriented analysis to ensure that the genetic analysis should be controlled with the bioinformatics information to develop the understanding with which the collaboration and modeling of bioinformatics must be integrated.

Therefore, the genetics should be used for the better research about health conditions of an individual with which the configuration and management should be evaluated according to the service level information with which the complete genetics should be managed in the concern of the genetic integration to set the domain about proper informatics and controlling with which combination of the genetics can be more developed. Genetic research controlling should be validated in which the genetics information with which the integrated designs should be controlled according to the different approaches (Goujon, 2010).

Genomics and Proteomics

Genomics is the complete combination of each gene involved in the human body while the proteomics are the proteins study based on which the interactive information should be controlled and evaluated and managed with the proper structure level information with which deployment management should be informative according to the genetics and analysis with which the combination about the proteins and genes should be involved according to the service level information and domain level information with which the proper genes can be developed according to the layered architecture of the perspective of managerial controlling with the information about data combination about Genomics and Proteomics.

Solution

Software usability

Software usability should be more refined such as the complete data analysis must be done according to the functional information and domain level consideration as per the validation of the proper software management with which the proper solution can be defined. There are different tools for making the data analysis as the dataset information should be evolved with the combination of the structure of the interactive information in which the modeling and execution about the software management can be evaluated according to the service level information with which the software usability can be more developed according to the structure of the complete data usability in which the combination of software designs and analysis with which the deployment model of the bioinformatics can be validated in the concerns of software usability and managerial integration of the proper systematic approach to making sure that the integrated information should be more preferred for using the software tools and analytics.

Decrease Complexity

Complexity can be decreased if there is an optimize results which show to the point information without any vague decision to develop the core functional understanding about business modeling and execution about the service level information and analysis to develop the controlling and initialization in the framework of information to deploy the more secure analysis with which the combination of network should be controlled and developed as per the consideration of complete oriented domain with which the information security should be validated.

Programming ease of use ought to be progressively refined, for example, the total information investigation must be finished by the user data and space level thought according to the approval of the best possible programming the board with which the correct arrangement can be characterized. There are various devices for making the information examination as the dataset data ought to be advanced with the blend of the structure of the intelligent data in which the demonstrating and execution about the product the executives can be assessed by the administration level data with which the product convenience can be increasingly evolved by the structure of the total information ease of use in which the mix of programming plans and investigation with which the organization model of the bioinformatics can be approved in the worries of programming ease of use and administrative coordination of the best possible methodical way to deal with ensuring that the incorporated data ought to be progressively favored for utilizing the product apparatuses and investigation.

Future of Bioinformatics Comment by R Daniel Creider: This appears to be out of order to me. Why are you discussing the future at the end of the paper?

Bioinformatics is necessary for the future because the concatenation of bioinformatics contains the different approaches in which the interaction and analysis can be functional with the interactive structure of the bioinformatics in which combination of biology and computing is involved. With the rapid enhancement in the field of IT, many complex problems have also raised which are causing many problems specifically biological problems.

Bioinformatics is effectively playing its parts in many biology areas where a huge amount of raw data is available with multiple molecular problems. Bioinformatics will also help to extract many results from the extensive raw data and the techniques used in it are signal processing and image processing. Bioinformatics played its effective part in the field of genomics and genetics.

Conclusion

The effectiveness of bioinformatics in the field of genetics and genomics is playing its part in a way that it particularly in textual mining of the biological development and literature and then organize it and the other biological query data to solve the problems. The tools of bioinformatics have provided a deep understanding of the revolutionary aspects of molecular biology by doing the comparison of the genomic data and genetic. It is the study of precision and preventive medicine. The use of sequence, biology statistics, programming, algorithm has help to achieve the goal of bioinformatics i.e.; development of efficient algorithms and the extension of experimental data by predictions.

Reference Comment by R Daniel Creider: All references must have a URL for verification. This does not appear to me to be enough references for a 10-page paper. The references are not complete. There must be at least one in text citation for each reference. Due to the length of the paper there should be many in text references.

Artimo, P. J. (2012). ExPASy: SIB bioinformatics resource portal. Nucleic acids research.

Baxevanis. (2020). Bioinformatics. John Wiley & Sons.

Blasco, A., Narayan, R., Sergeeve, R. A., Endres, M. G., & Natoli, T. (2019). Advancing computational biology and bioinformatics research through open innovation competitions.

Dewey, F. E., Pan, S., & Ashley, E. A. (2012). DNA sequencing: Clinical applications of new DNA sequencing technologies. Circulation, 125(7), 931-44.

Ewens, W. J. (2006). Statistical methods in bioinformatics: an introduction. Springer Science & Business Media.

Gibas, C. J. (2001). Developing bioinformatics computer skills. ” O’Reilly Media, Inc.”.

Goujon, M. M. (2010). A new bioinformatics analysis tools framework at EMBL–EBI. Nucleic acids research, 38(suppl_2), W695-W699.

Gu, J. &. (2009). Structural bioinformatics (Vol. 44). John Wiley & Sons.

Larranaga, P. B. (2006). Machine learning in bioinformatics. Briefings in bioinformatics.

Min, S. L. (2017). Deep learning in bioinformatics. Briefings in bioinformatics.

Mount, D. W. (2001). Bioinformatics: sequence and genome analysis.

The Scope of Cloud Computing Audit for Business Essay

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