STRUCTURAL BIOINFORMATICS AND BIG DATA ANALYTICS: A MINI-REVIEW
نویسندگان
چکیده
منابع مشابه
A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملBig Data Analytics in Bioinformatics: A Machine Learning Perspective
Bioinformatics research is characterized by voluminous and incremental datasets and complex data analytics methods. The machine learning methods used in bioinformatics are iterative and parallel. These methods can be scaled to handle big data using the distributed and parallel computing technologies. Usually big data tools perform computation in batch-mode and are not optimized for iterative pr...
متن کاملModern Data Formats for Big Bioinformatics Data Analytics
Next Generation Sequencing (NGS) technology has resulted in massive amounts of proteomics and genomics data. This data is of no use if it is not properly analyzed. ETL (Extraction, Transformation, Loading) is an important step in designing data analytics applications. ETL requires proper understanding of features of data. Data format plays a key role in understanding of data, representation of ...
متن کاملIntroduction to the Predictive Analytics and Big Data Mini-track
In the first paper by Wozniak and Cogburn, large volume of text-based data related to the all remarks given by the three Secretaries of State, namely Secretary Clinton, Secretary Rice, and Secretary Albright, are analyzed. The paper is using the ASSANA methodology-Accelerating Social science Analysis for a New Age, which is a tool developed by the authors to conduct analysis of large-scale, uns...
متن کاملSTRUCTURAL OPTIMIZATION USING BIG BANG-BIG CRUNCH ALGORITHM: A REVIEW
The big bang-big crunch (BB-BC) algorithm is a popular metaheuristic optimization technique proposed based on one of the theories for the evolution of the universe. The algorithm utilizes a two-phase search mechanism: big-bang phase and big-crunch phase. In the big-bang phase the concept of energy dissipation is considered to produce disorder and randomness in the candidate population while in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Computational Biology
سال: 2017
ISSN: 2278-8115
DOI: 10.34040/ijcb.6.1.2017.86