Researchers would be able to develop a detailed picture of chromatin in disease, which would be useful for gene therapy.

2021 ◽  
Author(s):  
Moataz Dowaidar
Keyword(s):  
Data Mining ◽  
Gene Therapy ◽  
Big Data ◽  
Basic Knowledge ◽  
Bioinformatics Tools ◽  
Accurate Picture ◽  
New Knowledge ◽  
The Right ◽  
Detailed Picture

Researchers would be able to produce an accurate picture of chromatin in disease by combining reported results with new measurements using existing databases. Data mining and the development of new databases will have an effect on how we address chromatin questions in the coming years. The QCBio Collaboratory at UCLA is a unique forum for non-programmers looking for training and collaboration to solve biological problems. Many bioinformatics tools are already available, and more will be developed as new knowledge becomes available. Scientists will continue to be motivated to test the most interesting hypotheses with the right instruments, exposing new insights into cardiac biology. Basic knowledge of how computers work and how to answer problems with big data will continue to inspire scientists to test the most important theories with the right tools, revealing novel insights into cardiac biology. We advocate integrating wet and dry lab research elements into training regimens to encourage the development of more diverse technical repertoires.

scholarly journals Data Mining and Cloud Computing

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Robert Vrbić
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Data Warehouses ◽  
Cloud Data ◽  
Big Data Mining ◽  
New Knowledge ◽  
Flexible Infrastructure

Cloud computing provides a powerful, scalable and flexible infrastructure into which one can integrate, previously known, techniques and methods of Data Mining. The result of such integration should be strong and capacitive platform that will be able to deal with the increasing production of data, or that will create the conditions for the efficient mining of massive amounts of data from various data warehouses with the aim of creating (useful) information or the production of new knowledge. This paper discusses such technology - the technology of big data mining, known as Cloud Data Mining (CDM).

scholarly journals Application of Data Mining in WITMED: Identification of Prognostic Genes in Oral Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Gang Liu ◽  
Wei Wang ◽  
He Qin ◽  
Qingguo Zhou ◽  
Jianbing Ma ◽  
...  
Keyword(s):  
Data Mining ◽  
Gene Therapy ◽  
Big Data ◽  
Oral Cancer ◽  
Medical Information ◽  
Smart Cities ◽  
City Government ◽  
Targeted Gene Therapy ◽  
Oral Cancer Cells

In recent years, the booming development of big data, cloud computing, Internet of Things, and other technologies provides conditions for the popularization and application of smart city. The combination of big data and medical information produces the emerging field of WITMED (Wise Information Technology of Med). WITMED is essential for the prospering growth of smart cities, which assumed a high quality of medical service is the most challenging goal for the city government. In this paper, the main attention is paid to the method of targeted gene therapy, which provides a new method for the treatment of oral cancer in inhibiting the growth, differentiation, invasion, and metastasis of oral cancer cells; therefore, the physical and psychological adverse effects of surgery and chemotherapy on patients are reduced and the survival and prognosis of patients are improved. Targeted gene therapy methods need to select the appropriate gene; that is, data mining methods are used to analyze a large number of complex genetic data from smart cities to obtain appropriate genetic markers, which makes the effect of targeted gene therapy better, and also provide some reference for the research of oral cancer gene direction and provide some basis for clinical treatment.

scholarly journals BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3948 ◽  
Author(s):  
Gong Cheng ◽  
Quan Lu ◽  
Ling Ma ◽  
Guocai Zhang ◽  
Liang Xu ◽  
...  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Gene Clusters ◽  
Biological Research ◽  
Biological Databases ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Bioinformatics Tools ◽  
Bioinformatics Workflow ◽  
Bioinformatics Community

Recently, Docker technology has received increasing attention throughout the bioinformatics community. However, its implementation has not yet been mastered by most biologists; accordingly, its application in biological research has been limited. In order to popularize this technology in the field of bioinformatics and to promote the use of publicly available bioinformatics tools, such as Dockerfiles and Images from communities, government sources, and private owners in the Docker Hub Registry and other Docker-based resources, we introduce here a complete and accurate bioinformatics workflow based on Docker. The present workflow enables analysis and visualization of pan-genomes and biosynthetic gene clusters of bacteria. This provides a new solution for bioinformatics mining of big data from various publicly available biological databases. The present step-by-step guide creates an integrative workflow through a Dockerfile to allow researchers to build their own Image and run Container easily.

Big Data Analytics

2019 ◽  
pp. 77-108
Author(s):  
Pratiyush Guleria ◽  
Manu Sood
Keyword(s):  
Data Mining ◽  
Big Data ◽  
New Technologies ◽  
Predictive Analytics ◽  
Big Data Analytics ◽  
Large Data ◽  
Educational Systems ◽  
Related Data ◽  
Digital Transactions ◽  
The Right

Due to an increase in the number of digital transactions and data sources, a huge amount of unstructured data is generated by every interaction. In such a scenario, the concepts of data mining assume great significance as useful information/trends/predictions can be retrieved from this large amount of data, known as big data. Big data predictive analytics are making big inroads into the educational field because with the adoption of new technologies, new academic trends are being introduced into educational systems. This accumulation of large data of different varieties throws a new set of challenges to the learners as well as educational institutions in ensuring the quality of their education by improving strategic/operational decision-making capabilities. Therefore, the authors address this issue by proposing a support system that can guide the student to choose and to focus on the right course(s) based on their personal preferences. This chapter provides the readers with the requisite information about educational frameworks and related data mining.

scholarly journals BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters

2017 ◽  
Author(s):  
Gong Cheng ◽  
Quan Lu ◽  
Ling Ma ◽  
Guocai Zhang ◽  
Liang Xu ◽  
...  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Gene Clusters ◽  
Biological Research ◽  
Biological Databases ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Bioinformatics Tools ◽  
Bioinformatics Workflow ◽  
Bioinformatics Community

Recently, Docker technology has received increasing attention throughout the bioinformatics community. However, its implementation has not yet been mastered by most biologists, and thus its application in biological research has been limited. In order to popularize this technology in the field of bioinformatics and promote the use of publicly available bioinformatics tools, such as Dockerfiles and Images from communities, governmental, and private owners in Docker Hub Registry and other Docker-based resources, we introduce here a complete and accurate bioinformatics workflow based on Docker to analyze and visualize pan-genomes and biosynthetic gene clusters of bacteria. This provides a new solution for bioinformatics mining of big data from various public biological databases. This step-by-step guide creates an integrative workflow through a Dockerfile to allow researchers to build their own Image and run Container easily.

scholarly journals BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters

2017 ◽  
Author(s):  
Gong Cheng ◽  
Quan Lu ◽  
Ling Ma ◽  
Guocai Zhang ◽  
Liang Xu ◽  
...  
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Gene Clusters ◽  
Biological Research ◽  
Biological Databases ◽  
Biosynthetic Gene ◽  
Biosynthetic Gene Clusters ◽  
Bioinformatics Tools ◽  
Bioinformatics Workflow ◽  
Bioinformatics Community

Recently, Docker technology has received increasing attention throughout the bioinformatics community. However, its implementation has not yet been mastered by most biologists, and thus its application in biological research has been limited. In order to popularize this technology in the field of bioinformatics and promote the use of publicly available bioinformatics tools, such as Dockerfiles and Images from communities, governmental, and private owners in Docker Hub Registry and other Docker-based resources, we introduce here a complete and accurate bioinformatics workflow based on Docker to analyze and visualize pan-genomes and biosynthetic gene clusters of bacteria. This provides a new solution for bioinformatics mining of big data from various public biological databases. This step-by-step guide creates an integrative workflow through a Dockerfile to allow researchers to build their own Image and run Container easily.

Formation of financial literacy in training of informatics teachers on the basis of the 1С:Enterprise system

2020 ◽  
Vol 1 (1) ◽  
pp. 11-18
Author(s):  
M. A. Rodionov ◽  
I. V. Akimova
Keyword(s):  
Financial Literacy ◽  
Basic Knowledge ◽  
State University ◽  
Science And Literature ◽  
Successful Development ◽  
Mathematics History ◽  
School Subjects ◽  
Personal Finances ◽  
The Right

In the submitted study the problem of the formation of financial literacy of students at informatics lessons and relevant training of future informatics teachers is considered. Financial literacy is understood as a set of basic knowledge in the field of finance, banking, insurance, as well as budgeting for personal finances that allow a person to choose the right financial product or service, soberly assess and take risks that may arise during the use of these products, correctly accumulate savings and identify doubtful (fraudulent) investment schemes. The authors conclude that successful development of meaningful lines of the course of financial literacy requires integration of a few school subjects, such as mathematics, history, informatics, social science and literature. The role of modern informatics teacher in the formation of financial literacy of students is great. Therefore, in the training of a future informatics teacher, it should be paid the attention to issues related to the study of elements of financial literacy in informatics lessons. In order to solve the problem, the authors propose to use the special course “Basics of work in 1С:Enterprise”, which is implemented at Penza State University. The article contains a program of the course and the methodological recommendations for its implementation.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

ANALISA DATA EKSPEDISI PAKET DENGAN MENERAPKAN ALGORITMA ROUGH SET (STUDI KASUS: JNE AGEN MENTENG MEDAN)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hasrat Selpia Simorangkir
Keyword(s):  
Data Mining ◽  
Rough Set ◽  
Microsoft Excel ◽  
General Rules ◽  
New Knowledge ◽  
Analyze Data

In analyzing data with data mining using the Rough Set algorithm which has results in the form of rules (rules). The process of determining the rules in the Rough Set method starts from processing the Microsoft Excel database, and continues testing with the Rough Set method. Thus producing General Rules which will become new knowledge in this research.With the existence of data mining using the rough set penilus algorithm, it can analyze data and provide solutions to the weaknesses faced in the menteng Medan field agents that have occurred so that it can be used as an alternative to solving problems in packet expedition encountered so far.Keyword: Data Mining, Descision System, Equivalen Class, ,General Rules, Rough set,Reduction

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