Sequencing artifacts in germ-free mice gut microbiome

Presenter Information

Chris SchinzelFollow

Presenter Type

UNO Undergraduate Student

Major/Field of Study

Biology

Advisor Information

https://www.unomaha.edu/college-of-arts-and-sciences/biology/about-us/directory/paul-ayayee.php

Location

MBSC304 - U

Presentation Type

Oral Presentation

Start Date

24-3-2023 1:00 PM

End Date

24-3-2023 2:15 PM

Abstract

When conducting research, so often scientists are results-oriented. However, what what is often forgotten about the scientific method as a whole is the importance of analysis of results. Two scientists can be given identical sets of facts and come to two different conclusions. So, when conducting research, the field of bioinformatics becomes integral to not only processing data, but also formatting the results in understandable ways. In the case of the gut microbiomes of germ-free mice, raw paired-end DNA reads from the mice need to be sent through different bioinformatics pipelines in hopes that we can gain some insight into previously unknown genetics of these species. Specifically, when comparing germ-free to conventional mice, sequencing and comparison of reads can reveal specific enzymes, proteins, or lack thereof in microbiomes. This data can then be compiled and formatted through various biological parameters to give scientists a straightforward visualization of the otherwise complex relationships between sequences of two subject groups.

Scheduling

1-2:15 p.m., 2:30 -3:45 p.m.

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COinS
 
Mar 24th, 1:00 PM Mar 24th, 2:15 PM

Sequencing artifacts in germ-free mice gut microbiome

MBSC304 - U

When conducting research, so often scientists are results-oriented. However, what what is often forgotten about the scientific method as a whole is the importance of analysis of results. Two scientists can be given identical sets of facts and come to two different conclusions. So, when conducting research, the field of bioinformatics becomes integral to not only processing data, but also formatting the results in understandable ways. In the case of the gut microbiomes of germ-free mice, raw paired-end DNA reads from the mice need to be sent through different bioinformatics pipelines in hopes that we can gain some insight into previously unknown genetics of these species. Specifically, when comparing germ-free to conventional mice, sequencing and comparison of reads can reveal specific enzymes, proteins, or lack thereof in microbiomes. This data can then be compiled and formatted through various biological parameters to give scientists a straightforward visualization of the otherwise complex relationships between sequences of two subject groups.