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Thank you so much for your support, this is a Systems Biology RNA sequencing report that is due tomorrow 11.59pm. It requires the access to Galaxy Australia which I will provide shortly.

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Microsoft Word - BIOL2499:BIOL XXXXXXXXXXPractical Report 2 Assessment details.docx
BIOL2499/BIOL XXXXXXXXXXAssessment: Practical Report 2 (RNA-Seq)    
Assessment details – Course: Systems Biology
Assessment task
and purpose
To provide an opportunity for students to demonstrate technical ability in the critical analysis and
interpretation of omics data.
Course learning
outcomes (CLO)
This assessment relates to the following CLOs
1. Demonstrate theoretical and technical understanding of Systems Biology (Omics)
approaches to the study of biological systems from the level of molecules to cells,
tissues, organisms and populations.
2. Critically analyse, interpret and explain omics data.
3. Summarise and synthesize and evaluate primary scientific literature.
4. Communicate clearly and effectively using co
ect scientific language and conventions.
Assessment
description /
equirements
Working as an individual, use the instructions in the practical manual to complete the practical
activity for week 6. As an individual, complete the questions relating to the assessment criteria.
This assessment will demonstrate a capacity to evaluate complex ideas and concepts in research
of omics datasets.
Assessment type
& weighting
This is a summative assessment. This assessment is worth 10% of the total mark for this course.
Assessment
submission details
Deadline: Midnight Sunday the 15th of May
Method: Submit the assessment onto CANVAS by the due date. The file format should be Word or
pdf. Maximum 1000 words.
Grading /
performance
standards
A ru
ic is available on CANVAS. It outlines the grading and performance standards. Students
are encouraged to read the ru
ic in conjunction with the assessment description. The Discussion
Board provides opportunities for Q&A about grading and performance throughout the assessment
period.
Assessment
preparation/
Resources
https:
usegalaxy.org.au/

Assessment
feedback
A ru
ic will be used to grade individual performance. Assessment feedback will be provided to
individuals on CANVAS at the conclusion of the marking period. Students can ask for input
(feedback) throughout the assessment period using the Discussion Board’s Q&A. In addition, at the
conclusion of the marking period, video feedback addressing the strengths and weaknesses of all
students’ performance (collective feedback) will be provided.
Indicators of
authentic and
lended
assessment
Authentic in this assessment
• Relates to world-wide trends e.g. commonly used techniques in
systems biology
• Requires students to use technology in a practical context
Blended in this assessment
• Digital technology

Microsoft Word - BIOL2499:BIOL XXXXXXXXXXPractical Report 2 Assessment details.docx
BIOL2499/BIOL XXXXXXXXXXAssessment: Practical Report 2 (RNA-Seq)    
Assessment details – Course: Systems Biology
Assessment task
and purpose
To provide an opportunity for students to demonstrate technical ability in the critical analysis and
interpretation of omics data.
Course learning
outcomes (CLO)
This assessment relates to the following CLOs
1. Demonstrate theoretical and technical understanding of Systems Biology (Omics)
approaches to the study of biological systems from the level of molecules to cells,
tissues, organisms and populations.
2. Critically analyse, interpret and explain omics data.
3. Summarise and synthesize and evaluate primary scientific literature.
4. Communicate clearly and effectively using co
ect scientific language and conventions.
Assessment
description /
equirements
Working as an individual, use the instructions in the practical manual to complete the practical
activity for week 6. As an individual, complete the questions relating to the assessment criteria.
This assessment will demonstrate a capacity to evaluate complex ideas and concepts in research
of omics datasets.
Assessment type
& weighting
This is a summative assessment. This assessment is worth 10% of the total mark for this course.
Assessment
submission details
Deadline: Midnight Sunday the 15th of May
Method: Submit the assessment onto CANVAS by the due date. The file format should be Word or
pdf. Maximum 1000 words.
Grading /
performance
standards
A ru
ic is available on CANVAS. It outlines the grading and performance standards. Students
are encouraged to read the ru
ic in conjunction with the assessment description. The Discussion
Board provides opportunities for Q&A about grading and performance throughout the assessment
period.
Assessment
preparation/
Resources
https:
usegalaxy.org.au/

Assessment
feedback
A ru
ic will be used to grade individual performance. Assessment feedback will be provided to
individuals on CANVAS at the conclusion of the marking period. Students can ask for input
(feedback) throughout the assessment period using the Discussion Board’s Q&A. In addition, at the
conclusion of the marking period, video feedback addressing the strengths and weaknesses of all
students’ performance (collective feedback) will be provided.
Indicators of
authentic and
lended
assessment
Authentic in this assessment
• Relates to world-wide trends e.g. commonly used techniques in
systems biology
• Requires students to use technology in a practical context
Blended in this assessment
• Digital technology

Microsoft Word - BIOL2499:BIOL XXXXXXXXXXPractical Report 2 Assessment Guidelines.docx
BIOL2499/BIOL2512 Systems Biology – Practical Report 2
1
BIOL2499/BIOL2512 Practical Report 2
Use your results from Practical Activity 2: RNA-Seq: Differential Gene Expression (week 6)
to complete this assessment using a standard practical report structure: Introduction (
ief),
Aim, Results, Methods (just refer to the practical manual in this section) and Discussion. The
focus should be on the results and discussion sections.

Maximum 1000 words (not including references and figure legends)

Include answers to the following questions in the results section of your report:

The Importance of Replicates:
How many differentially expressed genes with adjusted p-value < 0.05 are there?

How many differentially expressed genes can you identify using 2 samples in each group
and an adjusted p-value of <0.05?

How many differentially expressed genes can you identify using only 1 sample in each
group and an adjusted p-value of <0.05?

Include answers to the following questions in the discussion section of your report:

Alignment of reads from RNA-Seq:
What is the major challenge faced when aligning reads from an RNA-seq experiment to
a reference genome sequence? How is this challenge overcome?

The Importance of Replicates: Use your results to explain why it is important to have
iological replicates in an RNA-seq experiment.
Answered 2 days After May 28, 2022

Solution

Dr Shweta answered on May 30 2022
90 Votes
RNA sequencing- Differential gene expression
Introduction
Ribonucleic acid (RNA) is a single-stranded nucleic acid which is present in all living cells. RNA molecule is made up of phosphate groups, ribose sugar and nucleotides but except Thymine RNA contains Uracil. RNA is formed from the DNA by the process of transcription. The main function of RNA in cell is to synthesize proteins by the process of translation. RNA ca
ies the genetic information which is processed into the ribosomes into different types of proteins necessary for the various cellular processes. There are three main types of RNA – the mRNA, rRNA, and the tRNA which are involved in the process of protein synthesis. Differential expression of different segments of RNA is basically the differential gene expression that regulates the cell differentiation. RNA sequencing is a sequencing method used for the identification and quantification of RNA in the given sample with the help of Next-generation sequencing technology. Next-generation sequencing (NGS) technologies are transforming the genome research and can be used to tackle the de novo sequencing of large genomes. NSG more specifically used in transcriptomics analysis and it use is progressively increasing for studying the gene expression profile since it is capable to account for the individual genome differences within the same species. The characteristics of RNA-seq data analysis by sequencing depth helps in the detection of differentially expressed transcripts using the transcript biotype, length of sequence, expression level of genes and fold-changes. The true potential of RNA-seq is its ability to study the gene regulations even at the low expression ranges. RNA-seq is widely used for the study of differential gene expression patterns. Differential gene expression means the expressions of different segments of same DNA in different cells or different expression of transcriptome which basically is the root cause of difference in different cells and formation of different organs.
Objective - In this practical activity we use the transcriptome analysis data of common fruit fly, Drosophila melanogaster and by its analysis through HISAT tool of Galaxy system, we will understand the process of how the differentially expressed genes can be identified using RNA-Sequencing (RNA-Sequencing Differential Gene...
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