quick-references
R Stats Library
In the ever-evolving realm of data science, statistical analysis is the bedrock upon which insightful decisions are made. R, a programming language and environment for statistical computing and graphics, stands tall as a robust tool for statisticians and data scientists alike. Central to R's prowess is its array of libraries, each catering to specific needs. In this blog, we'll embark on a journey through the fascinating world of statistics using R's stats library, exploring its functionalities and demonstrating its power through practical examples.
Monte Carlo Simulation
In the realm of decision-making, especially in complex, uncertain scenarios, having a crystal ball would be invaluable. While we don’t possess magical powers, we do have something close: Monte Carlo simulation. Named after the famed casino city, this computational technique allows us to navigate the murky waters of uncertainty, offering insights that can shape robust strategies, optimize processes, and mitigate risks. In this blog, we’ll unravel the mysteries of Monte Carlo simulation, exploring its origins, principles, applications, and how it empowers decision-makers across diverse fields.
SeqIo
In the world of bioinformatics and computational biology, handling biological sequence data is a fundamental task. Whether you are working with DNA, RNA, or protein sequences, a reliable and efficient tool is required to manipulate and analyze these sequences. Python, being a versatile programming language, offers various libraries to deal with biological data, and one of the most powerful among them is SeqIO.
Biopython Sequences
In the ever-evolving field of bioinformatics, researchers and scientists are constantly seeking ways to analyze and manipulate biological data efficiently. Biopython, a powerful open-source library, has emerged as an invaluable tool for bioinformaticians. Among its many features, Biopython provides extensive functionality for working with biological sequences, making it an indispensable resource for tasks ranging from sequence retrieval to advanced analyses. In this blog post, we will delve into the world of Biopython sequences and explore some of the essential tools and techniques it offers.
Needleman Wunsch Algorithm
In the realm of bioinformatics and computational biology, one fundamental task is to compare and align biological sequences, such as DNA, RNA, or proteins, to identify similarities and differences. Pairwise sequence alignment is a crucial technique for achieving this, and the Needleman-Wunsch algorithm is one of the pioneering methods that laid the foundation for sequence alignment.
Posted September 26, 2023 by Rohith and Anusha ‐ 4 min read
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