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Computational Analysis of Microbial Community Datasets

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In Clare Boothe Luce Undergraduate Research Scholars

Title

Computational Analysis of Microbial Community Datasets

Author(s)

Madan, Shree

Description

Microbial communities are an important cornerstone of all ecosystems. By studying their interactions and the way they respond to environmental changes we can better understand which factors contribute to the ability of the community to function. Previous experiments were conducted to gather data on how microbial community composition changes over time of a nutrient perturbation. After collecting this data, the microbial community composition was determined by sequencing of the 16SsrDNA gene. Being able to analyze these datasets of community composition, is where we are able to gain the most understanding of the significance of the community. There are main ways to look at these communities but the main three are the statistical approach, network analysis, and linear systems modeling. Each of these provides a different lens to look at datasets which can be used to give context to the various trends in the data. Being able to understand how to use each of these methods and determine which is the most useful for any given dataset is an important part of this research.

Date Published

2022-06-22

Files

  • Download CBL Technical Report_Shree.pdf

Rights Statements

In Copyright - Educational Use Permitted

Linked Data for this Object

Wikidata subjects
computational analysis Microbial communities data set

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Olin College of Engineering

An undergraduate engineering institution exploring innovative approaches to engineering education since its founding in 1997.

1000 Olin Way
Needham, MA 02492
781.292.2390