SlideShare a Scribd company logo
1 of 9
Drosophila
Three-Point Test
C
ross Lab Write-
Up Instructions
(
65
points)
Abstract (5 points)
In a short paragraph describe the experiment that was done as
well as the major findings. Clarity is essential. The
a
bstract is usually written last and is limited to 200 words.
Introduction
(14
points)
Provide ALL background information a reader would need to
understand the
purpose, results and analysis of the
experiment. Must include:
1.
W
hy i
t
i
s
important to know the location
s
of gene
s
in the genome.
2.
A description a crossing-over during meiosis, linkage,
recombination frequency (RF),
and how
RF
relate
s
to map units
?
How does RF change for
closely
linked
versus
distantly linked and unlinked
,
genes?
3.
W
hy is it advantage
ous
to map
three (or more)
genes at on
c
e instead of mappin
g each pair of genes separately
4.
T
he benefits
of
Drosophila
for genetic analyses
5.
T
he
hypotheses for this experiment
•
RF measured in lab will be similar to the expected RF based on
known map distances.
•
Reciprocal classes will occur and survive in equal numbers.
•
Interference will be a positive value
.
Methods
(1
4
points)
This section should provide enough information so that the
reader could carry out the experiment independently.
1.
Explain the experimental strategy: P, F
1
and F
2
. Describe all genotypes and expected phenotypes.
2.
Describe the different traits that were
scored
.
3.
Why was it unnecessary to determine the sex of the F
2
?
4.
Describe calculations for RF, map units, and Interference.
5.
Describe the Chi-Square tests that were done and the highest
acceptable Chi-Square value for a
corresponding
p value of 0.05
or lower
for relevant degrees of freedom used in your different
Chi-Square tests. (Measured vs. published map distances;
reciprocal classes)
Results
(14
points)
In this section, the data are shown in tables
AND
explained in coherent paragraphs.
1.
Produce
a table
with the
counts
of each
F
2
phenoty
pe for:
your group’s data, your lab section’
s data, data provided by the fly experts.
(
Note to TA’s:
This lab has a long history of terrible data,
so each lab instructor will invent a dataset for each
of her/h
is lab sections.
These data sets MUST change each semester!)
2.
Produce
THREE
genetic maps, each based on
each of
the data sets in the Table. Calculate Interference for each data
set.
Show the equation for calculation of interference.
3.
Compare expected and observed data for pairwise map distance
s among the three genes and for reciprocal crosses using
Chi-Square values.
Report p-values for all comparisons, and state whether
differences between expected and observed data can be
attributed to chance.
Do this for all data sets. (There will be 18 Chi-square
calculations, 6 per data set.)
4.
A narrative must describe the table, mapping calculations and
Chi-Square calculations. You must interpret your Chi-Square
results. Can deviations from expected values be attributed to
chance? Explain your reasoning.
Discussion
(14
points)
The results are summarized in this section and the reasons WHY
data were significantly different than expected are considered.
1.
How do map units calculated from the three data sets
(one small and two large)
compare to published distances?
a.
What happened for the shorter y-cv distance?
b.
What happened for the longer cv-f distance?
c.
What happened with the 4 reciprocal classes? In the case of
reciprocal classes, were any trends observed (certain
reciprocals
tend to be near equal while others were quite different)?
How do mutations affect viability?
d.
Did these results match the hypotheses stated earlier?
2.
Why is it difficult to accurately measure long map distances by
RF?
a.
What can be done for more accurate measurements of long map
distances?
3.
What difficulties arose when assigning phenotypes when
scoring the F
2
?
a.
What could be done to reduce these difficulties?
Overall Conclusions
(
4
points)
Keep this section short, one paragraph at the most. Do not
repeat yourself over and over when writing this paragraph!
What do the data demonstrate?
Why is a statistical analysis important
?
Summarize ways to improve the outcome of the three point
testcross mapping experiment
; describe “tricks” for evaluating phenotypes.
PLAGIARISM:
Remember,
you must use your own words, even if you work with others to
discuss what the content of your paper will be. Do not use
quotations; read material, figure out what it means, and
then explain in your own words. If you do use material not
found in the lab manual or the textbook, be sure to cite it.
Instructions for citations are found in the oral presentation
section of the Genetics Lab Manual. All papers must be .doc or
.
docx
files, and will be submitted to your lab’s BeachBoard Dropbox
and will be subject to plagiarism detection using
Turnitin
.
A strict ZERO policy (on the entire write-up) will apply to all
p
lagiarism that goes beyond a shared, common phrase.
If two students’ papers are found to be highly similar, BOTH
students will receive a ZERO. Do not give your word file to a
friend to help them out at the last minute; they will likely take
both of you down.
Papers must be uploaded to the lab
BeachBoard
Dropbox BEFORE your lab starts on the designated due date.
Please see
http://philosophy.tamu.edu/~gary/intro/plagiarism.index.html
for some examples of plagiarism.
Citations
To respond to question 1 of the Introduction, you will need to
look up papers. Cite these as described in the group oral
presentation instructions in the Genetics Lab Manual.
Writing Tips
Many students feel that if they write something in complicated
language, they sound more intelligent. This results in
awful
sentences such as, “
A significant frequency of DNA is made of gene.” “Genes are
made of DNA.” makes a lot more sense!
Also, the term “significant” is only used with an accompanying
statistical test. See below for more helpful writing tips:
1) The phrasing,
",
so..." is conversational English, and not appropriate for written
English.
2) The word "very" has little meaning. Use a stronger
adjective. Four letter V-WORD.
3) Use the passive voice, not "We define
recombination frequency
as..." Instead use: "
Recombination frequency is
defined as..."
4) Separate different sections into paragraphs so the overall
organization is clear to the reader.
5) If you want to use "it" or "they" in a sentence, be certain that
the subject referred to is clear.
6) Omit needless words. Go through each sentence to reduce
wordiness.
7)” it’s” = it is; “its” is the possessive.
8) Do not keep using the word “it” in your complex sentences.
Re-word the sentence so the subject is clear.
9) Avoid meaningless sentences such as “
Chromosomes are
interesting molecule
s
that
are
found in
Drosophila
.” Think of a real point you want to make, and use meaningful
language.
10) Avoid contractions; don’t use them! I cannot emphasize
this enough; they’re too informal.
11) Semicolons separate two independent clauses; independent
clauses can serve as their own sentence.
12) A colon separates one independent and one dependent
clause: as in this sentence.
13) The possessive is rarely used in scientific writing and
comes off as awkward and unprofessional. Do not write, “The
gene’s
location is not known
.” Instead, write, “The
location of the gene is not known
.”

More Related Content

Similar to Drosophila Three-Point Test Cross Lab Write-Up

4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docxBHANU281672
 
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docxtaishao1
 
RNA-seq differential expression analysis
RNA-seq differential expression analysisRNA-seq differential expression analysis
RNA-seq differential expression analysismikaelhuss
 
Preparing a manuscript
Preparing a manuscriptPreparing a manuscript
Preparing a manuscriptlemberger
 
Combining General and Genre-Specific Approaches to L2 Writing Instruction
Combining General and Genre-Specific Approaches to L2 Writing InstructionCombining General and Genre-Specific Approaches to L2 Writing Instruction
Combining General and Genre-Specific Approaches to L2 Writing Instructionguest05424
 
Coder Name Rebecca Oquendo .docx
Coder Name  Rebecca Oquendo                                    .docxCoder Name  Rebecca Oquendo                                    .docx
Coder Name Rebecca Oquendo .docxmary772
 
Dna data compression algorithms based on redundancy
Dna data compression algorithms based on redundancyDna data compression algorithms based on redundancy
Dna data compression algorithms based on redundancyijfcstjournal
 
Perl for Phyloinformatics
Perl for PhyloinformaticsPerl for Phyloinformatics
Perl for PhyloinformaticsRutger Vos
 
Coder Name Rebecca Oquendo
Coder Name  Rebecca Oquendo                                    Coder Name  Rebecca Oquendo
Coder Name Rebecca Oquendo DioneWang844
 
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)Stephen Taylor
 
Lecture 9 slides: Machine learning for Protein Structure ...
Lecture 9 slides: Machine learning for Protein Structure ...Lecture 9 slides: Machine learning for Protein Structure ...
Lecture 9 slides: Machine learning for Protein Structure ...butest
 
Chapter 12: Abstract ( english for writing research papers)
Chapter 12: Abstract ( english for writing research papers)Chapter 12: Abstract ( english for writing research papers)
Chapter 12: Abstract ( english for writing research papers)Hafiza Abas
 
Automatic Profiling Of Learner Texts
Automatic Profiling Of Learner TextsAutomatic Profiling Of Learner Texts
Automatic Profiling Of Learner TextsJeff Nelson
 
Basic review on topic modeling
Basic review on  topic modelingBasic review on  topic modeling
Basic review on topic modelingHiroyuki Kuromiya
 
Final projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxFinal projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxtjane3
 
Final projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxFinal projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxlmelaine
 
Mengxue HuReflection Paper #210202015Topic explain.docx
Mengxue HuReflection Paper #210202015Topic explain.docxMengxue HuReflection Paper #210202015Topic explain.docx
Mengxue HuReflection Paper #210202015Topic explain.docxandreecapon
 
MidtermReview.pdfStatistics 411511Important Concepts an.docx
MidtermReview.pdfStatistics 411511Important Concepts an.docxMidtermReview.pdfStatistics 411511Important Concepts an.docx
MidtermReview.pdfStatistics 411511Important Concepts an.docxARIV4
 

Similar to Drosophila Three-Point Test Cross Lab Write-Up (20)

4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
 
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
4BIOL 3251 Writing Assignment 2 – Introduction and Hypothesis .docx
 
RNA-seq differential expression analysis
RNA-seq differential expression analysisRNA-seq differential expression analysis
RNA-seq differential expression analysis
 
How to write a paper
How to write a paperHow to write a paper
How to write a paper
 
Preparing a manuscript
Preparing a manuscriptPreparing a manuscript
Preparing a manuscript
 
Combining General and Genre-Specific Approaches to L2 Writing Instruction
Combining General and Genre-Specific Approaches to L2 Writing InstructionCombining General and Genre-Specific Approaches to L2 Writing Instruction
Combining General and Genre-Specific Approaches to L2 Writing Instruction
 
Coder Name Rebecca Oquendo .docx
Coder Name  Rebecca Oquendo                                    .docxCoder Name  Rebecca Oquendo                                    .docx
Coder Name Rebecca Oquendo .docx
 
Dna data compression algorithms based on redundancy
Dna data compression algorithms based on redundancyDna data compression algorithms based on redundancy
Dna data compression algorithms based on redundancy
 
Perl for Phyloinformatics
Perl for PhyloinformaticsPerl for Phyloinformatics
Perl for Phyloinformatics
 
EiB Seminar from Antoni Miñarro, Ph.D
EiB Seminar from Antoni Miñarro, Ph.DEiB Seminar from Antoni Miñarro, Ph.D
EiB Seminar from Antoni Miñarro, Ph.D
 
Coder Name Rebecca Oquendo
Coder Name  Rebecca Oquendo                                    Coder Name  Rebecca Oquendo
Coder Name Rebecca Oquendo
 
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)
Essential Biology 3.3 & 7.1 DNA Structure (Core & AHL)
 
Lecture 9 slides: Machine learning for Protein Structure ...
Lecture 9 slides: Machine learning for Protein Structure ...Lecture 9 slides: Machine learning for Protein Structure ...
Lecture 9 slides: Machine learning for Protein Structure ...
 
Chapter 12: Abstract ( english for writing research papers)
Chapter 12: Abstract ( english for writing research papers)Chapter 12: Abstract ( english for writing research papers)
Chapter 12: Abstract ( english for writing research papers)
 
Automatic Profiling Of Learner Texts
Automatic Profiling Of Learner TextsAutomatic Profiling Of Learner Texts
Automatic Profiling Of Learner Texts
 
Basic review on topic modeling
Basic review on  topic modelingBasic review on  topic modeling
Basic review on topic modeling
 
Final projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxFinal projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docx
 
Final projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docxFinal projectIn this class, we have discussed the various techno.docx
Final projectIn this class, we have discussed the various techno.docx
 
Mengxue HuReflection Paper #210202015Topic explain.docx
Mengxue HuReflection Paper #210202015Topic explain.docxMengxue HuReflection Paper #210202015Topic explain.docx
Mengxue HuReflection Paper #210202015Topic explain.docx
 
MidtermReview.pdfStatistics 411511Important Concepts an.docx
MidtermReview.pdfStatistics 411511Important Concepts an.docxMidtermReview.pdfStatistics 411511Important Concepts an.docx
MidtermReview.pdfStatistics 411511Important Concepts an.docx
 

More from harold7fisher61282

Why are the originalraw data not readily usable by analytics tasks.docx
Why are the originalraw data not readily usable by analytics tasks.docxWhy are the originalraw data not readily usable by analytics tasks.docx
Why are the originalraw data not readily usable by analytics tasks.docxharold7fisher61282
 
Why are some people disturbed by Furries  Are the concerns social, .docx
Why are some people disturbed by Furries  Are the concerns social, .docxWhy are some people disturbed by Furries  Are the concerns social, .docx
Why are some people disturbed by Furries  Are the concerns social, .docxharold7fisher61282
 
Why are structured interviews important What might happen if you .docx
Why are structured interviews important What might happen if you .docxWhy are structured interviews important What might happen if you .docx
Why are structured interviews important What might happen if you .docxharold7fisher61282
 
Why Are So Many People Uninsured and UnderinsuredIntroduction.docx
Why Are So Many People Uninsured and UnderinsuredIntroduction.docxWhy Are So Many People Uninsured and UnderinsuredIntroduction.docx
Why Are So Many People Uninsured and UnderinsuredIntroduction.docxharold7fisher61282
 
Why are some economists concerned about a massive short run increase.docx
Why are some economists concerned about a massive short run increase.docxWhy are some economists concerned about a massive short run increase.docx
Why are some economists concerned about a massive short run increase.docxharold7fisher61282
 
Why are firewalls so important within an IT environment What are th.docx
Why are firewalls so important within an IT environment What are th.docxWhy are firewalls so important within an IT environment What are th.docx
Why are firewalls so important within an IT environment What are th.docxharold7fisher61282
 
Why are emotional intelligence and social skills important for leade.docx
Why are emotional intelligence and social skills important for leade.docxWhy are emotional intelligence and social skills important for leade.docx
Why are emotional intelligence and social skills important for leade.docxharold7fisher61282
 
Why are equal employment opportunity laws necessaryPick an EE.docx
Why are equal employment opportunity laws necessaryPick an EE.docxWhy are equal employment opportunity laws necessaryPick an EE.docx
Why are equal employment opportunity laws necessaryPick an EE.docxharold7fisher61282
 
Why are apologies an important part of establishing and maintainin.docx
Why are apologies an important part of establishing and maintainin.docxWhy are apologies an important part of establishing and maintainin.docx
Why are apologies an important part of establishing and maintainin.docxharold7fisher61282
 
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docx
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docxWhy are DoS ( Denial os serivce) or DDoS attacks so dangerous.docx
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docxharold7fisher61282
 
Why are carbohydrates considered our most valuable energy source  A.docx
Why are carbohydrates considered our most valuable energy source  A.docxWhy are carbohydrates considered our most valuable energy source  A.docx
Why are carbohydrates considered our most valuable energy source  A.docxharold7fisher61282
 
Why Are Comics Still in Search of Cultural Legitimizat.docx
Why Are Comics Still in Search of  Cultural Legitimizat.docxWhy Are Comics Still in Search of  Cultural Legitimizat.docx
Why Are Comics Still in Search of Cultural Legitimizat.docxharold7fisher61282
 
Whose voices are amplifiedWhose voices are suppressedWhat .docx
Whose voices are amplifiedWhose voices are suppressedWhat .docxWhose voices are amplifiedWhose voices are suppressedWhat .docx
Whose voices are amplifiedWhose voices are suppressedWhat .docxharold7fisher61282
 
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docx
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docxWhos the bossIn a holacracy, there isnt one. It isnt as flak.docx
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docxharold7fisher61282
 
Whooping Cough is a disease that doctors may no longer recognize bec.docx
Whooping Cough is a disease that doctors may no longer recognize bec.docxWhooping Cough is a disease that doctors may no longer recognize bec.docx
Whooping Cough is a disease that doctors may no longer recognize bec.docxharold7fisher61282
 
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docx
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docxWHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docx
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docxharold7fisher61282
 
Who Says ElephantsCan’t DanceLeading a GreatE.docx
Who Says ElephantsCan’t DanceLeading a GreatE.docxWho Says ElephantsCan’t DanceLeading a GreatE.docx
Who Says ElephantsCan’t DanceLeading a GreatE.docxharold7fisher61282
 
Who were Buffon and Fourier and what contributions did they make to .docx
Who were Buffon and Fourier and what contributions did they make to .docxWho were Buffon and Fourier and what contributions did they make to .docx
Who were Buffon and Fourier and what contributions did they make to .docxharold7fisher61282
 
Who was Immanuel Kant What is deontology and what is the main thoug.docx
Who was Immanuel Kant What is deontology and what is the main thoug.docxWho was Immanuel Kant What is deontology and what is the main thoug.docx
Who was Immanuel Kant What is deontology and what is the main thoug.docxharold7fisher61282
 
Whom to PromoteOne of the problems, Lael Matthews has had t.docx
Whom to PromoteOne of the problems, Lael Matthews has had t.docxWhom to PromoteOne of the problems, Lael Matthews has had t.docx
Whom to PromoteOne of the problems, Lael Matthews has had t.docxharold7fisher61282
 

More from harold7fisher61282 (20)

Why are the originalraw data not readily usable by analytics tasks.docx
Why are the originalraw data not readily usable by analytics tasks.docxWhy are the originalraw data not readily usable by analytics tasks.docx
Why are the originalraw data not readily usable by analytics tasks.docx
 
Why are some people disturbed by Furries  Are the concerns social, .docx
Why are some people disturbed by Furries  Are the concerns social, .docxWhy are some people disturbed by Furries  Are the concerns social, .docx
Why are some people disturbed by Furries  Are the concerns social, .docx
 
Why are structured interviews important What might happen if you .docx
Why are structured interviews important What might happen if you .docxWhy are structured interviews important What might happen if you .docx
Why are structured interviews important What might happen if you .docx
 
Why Are So Many People Uninsured and UnderinsuredIntroduction.docx
Why Are So Many People Uninsured and UnderinsuredIntroduction.docxWhy Are So Many People Uninsured and UnderinsuredIntroduction.docx
Why Are So Many People Uninsured and UnderinsuredIntroduction.docx
 
Why are some economists concerned about a massive short run increase.docx
Why are some economists concerned about a massive short run increase.docxWhy are some economists concerned about a massive short run increase.docx
Why are some economists concerned about a massive short run increase.docx
 
Why are firewalls so important within an IT environment What are th.docx
Why are firewalls so important within an IT environment What are th.docxWhy are firewalls so important within an IT environment What are th.docx
Why are firewalls so important within an IT environment What are th.docx
 
Why are emotional intelligence and social skills important for leade.docx
Why are emotional intelligence and social skills important for leade.docxWhy are emotional intelligence and social skills important for leade.docx
Why are emotional intelligence and social skills important for leade.docx
 
Why are equal employment opportunity laws necessaryPick an EE.docx
Why are equal employment opportunity laws necessaryPick an EE.docxWhy are equal employment opportunity laws necessaryPick an EE.docx
Why are equal employment opportunity laws necessaryPick an EE.docx
 
Why are apologies an important part of establishing and maintainin.docx
Why are apologies an important part of establishing and maintainin.docxWhy are apologies an important part of establishing and maintainin.docx
Why are apologies an important part of establishing and maintainin.docx
 
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docx
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docxWhy are DoS ( Denial os serivce) or DDoS attacks so dangerous.docx
Why are DoS ( Denial os serivce) or DDoS attacks so dangerous.docx
 
Why are carbohydrates considered our most valuable energy source  A.docx
Why are carbohydrates considered our most valuable energy source  A.docxWhy are carbohydrates considered our most valuable energy source  A.docx
Why are carbohydrates considered our most valuable energy source  A.docx
 
Why Are Comics Still in Search of Cultural Legitimizat.docx
Why Are Comics Still in Search of  Cultural Legitimizat.docxWhy Are Comics Still in Search of  Cultural Legitimizat.docx
Why Are Comics Still in Search of Cultural Legitimizat.docx
 
Whose voices are amplifiedWhose voices are suppressedWhat .docx
Whose voices are amplifiedWhose voices are suppressedWhat .docxWhose voices are amplifiedWhose voices are suppressedWhat .docx
Whose voices are amplifiedWhose voices are suppressedWhat .docx
 
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docx
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docxWhos the bossIn a holacracy, there isnt one. It isnt as flak.docx
Whos the bossIn a holacracy, there isnt one. It isnt as flak.docx
 
Whooping Cough is a disease that doctors may no longer recognize bec.docx
Whooping Cough is a disease that doctors may no longer recognize bec.docxWhooping Cough is a disease that doctors may no longer recognize bec.docx
Whooping Cough is a disease that doctors may no longer recognize bec.docx
 
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docx
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docxWHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docx
WHO’S WITH ME FALSE CONSENSUS, BROKERAGE, ANDETHICAL DECISI.docx
 
Who Says ElephantsCan’t DanceLeading a GreatE.docx
Who Says ElephantsCan’t DanceLeading a GreatE.docxWho Says ElephantsCan’t DanceLeading a GreatE.docx
Who Says ElephantsCan’t DanceLeading a GreatE.docx
 
Who were Buffon and Fourier and what contributions did they make to .docx
Who were Buffon and Fourier and what contributions did they make to .docxWho were Buffon and Fourier and what contributions did they make to .docx
Who were Buffon and Fourier and what contributions did they make to .docx
 
Who was Immanuel Kant What is deontology and what is the main thoug.docx
Who was Immanuel Kant What is deontology and what is the main thoug.docxWho was Immanuel Kant What is deontology and what is the main thoug.docx
Who was Immanuel Kant What is deontology and what is the main thoug.docx
 
Whom to PromoteOne of the problems, Lael Matthews has had t.docx
Whom to PromoteOne of the problems, Lael Matthews has had t.docxWhom to PromoteOne of the problems, Lael Matthews has had t.docx
Whom to PromoteOne of the problems, Lael Matthews has had t.docx
 

Recently uploaded

Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Celine George
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxLigayaBacuel1
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayMakMakNepo
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.arsicmarija21
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationAadityaSharma884161
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 

Recently uploaded (20)

Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17Difference Between Search & Browse Methods in Odoo 17
Difference Between Search & Browse Methods in Odoo 17
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Planning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptxPlanning a health career 4th Quarter.pptx
Planning a health career 4th Quarter.pptx
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Quarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up FridayQuarter 4 Peace-education.pptx Catch Up Friday
Quarter 4 Peace-education.pptx Catch Up Friday
 
AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.AmericanHighSchoolsprezentacijaoskolama.
AmericanHighSchoolsprezentacijaoskolama.
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
ROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint PresentationROOT CAUSE ANALYSIS PowerPoint Presentation
ROOT CAUSE ANALYSIS PowerPoint Presentation
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 

Drosophila Three-Point Test Cross Lab Write-Up

  • 1. Drosophila Three-Point Test C ross Lab Write- Up Instructions ( 65 points) Abstract (5 points) In a short paragraph describe the experiment that was done as well as the major findings. Clarity is essential. The a bstract is usually written last and is limited to 200 words. Introduction (14 points) Provide ALL background information a reader would need to understand the purpose, results and analysis of the experiment. Must include: 1. W hy i t i s important to know the location s of gene s in the genome. 2. A description a crossing-over during meiosis, linkage,
  • 2. recombination frequency (RF), and how RF relate s to map units ? How does RF change for closely linked versus distantly linked and unlinked , genes? 3. W hy is it advantage ous to map three (or more) genes at on c e instead of mappin g each pair of genes separately 4. T he benefits of Drosophila for genetic analyses 5. T he hypotheses for this experiment
  • 3. • RF measured in lab will be similar to the expected RF based on known map distances. • Reciprocal classes will occur and survive in equal numbers. • Interference will be a positive value . Methods (1 4 points) This section should provide enough information so that the reader could carry out the experiment independently. 1. Explain the experimental strategy: P, F 1 and F 2 . Describe all genotypes and expected phenotypes. 2. Describe the different traits that were scored . 3. Why was it unnecessary to determine the sex of the F 2 ? 4. Describe calculations for RF, map units, and Interference. 5. Describe the Chi-Square tests that were done and the highest acceptable Chi-Square value for a corresponding
  • 4. p value of 0.05 or lower for relevant degrees of freedom used in your different Chi-Square tests. (Measured vs. published map distances; reciprocal classes) Results (14 points) In this section, the data are shown in tables AND explained in coherent paragraphs. 1. Produce a table with the counts of each F 2 phenoty pe for: your group’s data, your lab section’ s data, data provided by the fly experts. ( Note to TA’s: This lab has a long history of terrible data, so each lab instructor will invent a dataset for each of her/h is lab sections. These data sets MUST change each semester!) 2. Produce THREE genetic maps, each based on
  • 5. each of the data sets in the Table. Calculate Interference for each data set. Show the equation for calculation of interference. 3. Compare expected and observed data for pairwise map distance s among the three genes and for reciprocal crosses using Chi-Square values. Report p-values for all comparisons, and state whether differences between expected and observed data can be attributed to chance. Do this for all data sets. (There will be 18 Chi-square calculations, 6 per data set.) 4. A narrative must describe the table, mapping calculations and Chi-Square calculations. You must interpret your Chi-Square results. Can deviations from expected values be attributed to chance? Explain your reasoning. Discussion (14 points) The results are summarized in this section and the reasons WHY data were significantly different than expected are considered. 1. How do map units calculated from the three data sets (one small and two large) compare to published distances? a. What happened for the shorter y-cv distance? b. What happened for the longer cv-f distance? c. What happened with the 4 reciprocal classes? In the case of reciprocal classes, were any trends observed (certain reciprocals
  • 6. tend to be near equal while others were quite different)? How do mutations affect viability? d. Did these results match the hypotheses stated earlier? 2. Why is it difficult to accurately measure long map distances by RF? a. What can be done for more accurate measurements of long map distances? 3. What difficulties arose when assigning phenotypes when scoring the F 2 ? a. What could be done to reduce these difficulties? Overall Conclusions ( 4 points) Keep this section short, one paragraph at the most. Do not repeat yourself over and over when writing this paragraph! What do the data demonstrate? Why is a statistical analysis important ? Summarize ways to improve the outcome of the three point testcross mapping experiment ; describe “tricks” for evaluating phenotypes. PLAGIARISM: Remember, you must use your own words, even if you work with others to discuss what the content of your paper will be. Do not use
  • 7. quotations; read material, figure out what it means, and then explain in your own words. If you do use material not found in the lab manual or the textbook, be sure to cite it. Instructions for citations are found in the oral presentation section of the Genetics Lab Manual. All papers must be .doc or . docx files, and will be submitted to your lab’s BeachBoard Dropbox and will be subject to plagiarism detection using Turnitin . A strict ZERO policy (on the entire write-up) will apply to all p lagiarism that goes beyond a shared, common phrase. If two students’ papers are found to be highly similar, BOTH students will receive a ZERO. Do not give your word file to a friend to help them out at the last minute; they will likely take both of you down. Papers must be uploaded to the lab BeachBoard Dropbox BEFORE your lab starts on the designated due date. Please see http://philosophy.tamu.edu/~gary/intro/plagiarism.index.html for some examples of plagiarism. Citations To respond to question 1 of the Introduction, you will need to look up papers. Cite these as described in the group oral presentation instructions in the Genetics Lab Manual. Writing Tips Many students feel that if they write something in complicated language, they sound more intelligent. This results in awful sentences such as, “ A significant frequency of DNA is made of gene.” “Genes are
  • 8. made of DNA.” makes a lot more sense! Also, the term “significant” is only used with an accompanying statistical test. See below for more helpful writing tips: 1) The phrasing, ", so..." is conversational English, and not appropriate for written English. 2) The word "very" has little meaning. Use a stronger adjective. Four letter V-WORD. 3) Use the passive voice, not "We define recombination frequency as..." Instead use: " Recombination frequency is defined as..." 4) Separate different sections into paragraphs so the overall organization is clear to the reader. 5) If you want to use "it" or "they" in a sentence, be certain that the subject referred to is clear. 6) Omit needless words. Go through each sentence to reduce wordiness. 7)” it’s” = it is; “its” is the possessive. 8) Do not keep using the word “it” in your complex sentences. Re-word the sentence so the subject is clear. 9) Avoid meaningless sentences such as “ Chromosomes are interesting molecule s that are found in Drosophila .” Think of a real point you want to make, and use meaningful
  • 9. language. 10) Avoid contractions; don’t use them! I cannot emphasize this enough; they’re too informal. 11) Semicolons separate two independent clauses; independent clauses can serve as their own sentence. 12) A colon separates one independent and one dependent clause: as in this sentence. 13) The possessive is rarely used in scientific writing and comes off as awkward and unprofessional. Do not write, “The gene’s location is not known .” Instead, write, “The location of the gene is not known .”