SlideShare a Scribd company logo
1 of 1
Download to read offline
16. Which of the following is true about model organisms? a. Model organisms can be used to
understand universal biological processes b. Drosophila, mouse, and yeast are examples of
model organisms c. Model organisms generally have short generation times leading to high data
yields d. All of the above

More Related Content

More from info639484

25. It is hypothesized that Californian populations of Sea Otters a..pdf
 25. It is hypothesized that Californian populations of Sea Otters a..pdf 25. It is hypothesized that Californian populations of Sea Otters a..pdf
25. It is hypothesized that Californian populations of Sea Otters a..pdf
info639484
 
2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
 2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf 2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
info639484
 

More from info639484 (20)

25) The Aircraft maintenance Costs are considered a major operating c.pdf
 25) The Aircraft maintenance Costs are considered a major operating c.pdf 25) The Aircraft maintenance Costs are considered a major operating c.pdf
25) The Aircraft maintenance Costs are considered a major operating c.pdf
 
25. It is hypothesized that Californian populations of Sea Otters a..pdf
 25. It is hypothesized that Californian populations of Sea Otters a..pdf 25. It is hypothesized that Californian populations of Sea Otters a..pdf
25. It is hypothesized that Californian populations of Sea Otters a..pdf
 
24. Country A�s adult population is 100 million, and it is likely t.pdf
 24. Country A�s adult population is 100 million, and it is likely t.pdf 24. Country A�s adult population is 100 million, and it is likely t.pdf
24. Country A�s adult population is 100 million, and it is likely t.pdf
 
2.4 Ethernet was originally developed to support a shared media envir.pdf
 2.4 Ethernet was originally developed to support a shared media envir.pdf 2.4 Ethernet was originally developed to support a shared media envir.pdf
2.4 Ethernet was originally developed to support a shared media envir.pdf
 
2.6. (a) Find the frequency response H(ej) of the linear time-invaria.pdf
 2.6. (a) Find the frequency response H(ej) of the linear time-invaria.pdf 2.6. (a) Find the frequency response H(ej) of the linear time-invaria.pdf
2.6. (a) Find the frequency response H(ej) of the linear time-invaria.pdf
 
2.Cases. Soulful Sounds Records inc. iby Ales Fither. aipecti ef t.pdf
 2.Cases. Soulful Sounds Records inc. iby Ales Fither. aipecti ef t.pdf 2.Cases. Soulful Sounds Records inc. iby Ales Fither. aipecti ef t.pdf
2.Cases. Soulful Sounds Records inc. iby Ales Fither. aipecti ef t.pdf
 
20. If the process of completing business requirements is difficult i.pdf
 20. If the process of completing business requirements is difficult i.pdf 20. If the process of completing business requirements is difficult i.pdf
20. If the process of completing business requirements is difficult i.pdf
 
2.2 A Network Topology is the arrangement with which computer systems.pdf
 2.2 A Network Topology is the arrangement with which computer systems.pdf 2.2 A Network Topology is the arrangement with which computer systems.pdf
2.2 A Network Topology is the arrangement with which computer systems.pdf
 
2.3 Decapsulation is the inverse of the encapsulation process. Encaps.pdf
 2.3 Decapsulation is the inverse of the encapsulation process. Encaps.pdf 2.3 Decapsulation is the inverse of the encapsulation process. Encaps.pdf
2.3 Decapsulation is the inverse of the encapsulation process. Encaps.pdf
 
2. What colour will methylene blue turn in the presence of carbon dio.pdf
 2. What colour will methylene blue turn in the presence of carbon dio.pdf 2. What colour will methylene blue turn in the presence of carbon dio.pdf
2. What colour will methylene blue turn in the presence of carbon dio.pdf
 
2. What age, on average, did people with tic disorders first start no.pdf
 2. What age, on average, did people with tic disorders first start no.pdf 2. What age, on average, did people with tic disorders first start no.pdf
2. What age, on average, did people with tic disorders first start no.pdf
 
2. True or false Given a sample size n=14, the degrees of freedom is.pdf
 2. True or false Given a sample size n=14, the degrees of freedom is.pdf 2. True or false Given a sample size n=14, the degrees of freedom is.pdf
2. True or false Given a sample size n=14, the degrees of freedom is.pdf
 
2. The standard normal distribution is the normal random variable X s.pdf
 2. The standard normal distribution is the normal random variable X s.pdf 2. The standard normal distribution is the normal random variable X s.pdf
2. The standard normal distribution is the normal random variable X s.pdf
 
2. The figure below depicts three metapopulation patterns. The size o.pdf
 2. The figure below depicts three metapopulation patterns. The size o.pdf 2. The figure below depicts three metapopulation patterns. The size o.pdf
2. The figure below depicts three metapopulation patterns. The size o.pdf
 
2. Movie Profit Modify the Movie Data program written for problem.pdf
 2. Movie Profit Modify the Movie Data program written for problem.pdf 2. Movie Profit Modify the Movie Data program written for problem.pdf
2. Movie Profit Modify the Movie Data program written for problem.pdf
 
2. Saving and investment in the national income accounts The foliowin.pdf
 2. Saving and investment in the national income accounts The foliowin.pdf 2. Saving and investment in the national income accounts The foliowin.pdf
2. Saving and investment in the national income accounts The foliowin.pdf
 
2. Let X1 be a binomial distributed rv with parameters n1 and p1, and.pdf
 2. Let X1 be a binomial distributed rv with parameters n1 and p1, and.pdf 2. Let X1 be a binomial distributed rv with parameters n1 and p1, and.pdf
2. Let X1 be a binomial distributed rv with parameters n1 and p1, and.pdf
 
2. Label the diagrams Explain in detali electron transportchemiosmos.pdf
 2. Label the diagrams Explain in detali electron transportchemiosmos.pdf 2. Label the diagrams Explain in detali electron transportchemiosmos.pdf
2. Label the diagrams Explain in detali electron transportchemiosmos.pdf
 
2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
 2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf 2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
2. Evolutonary theory predicts that orgunisms should apgear in a secp.pdf
 
2. Biodiversity Theme 2 Metabolic Diversity - What are the different.pdf
 2. Biodiversity Theme 2 Metabolic Diversity - What are the different.pdf 2. Biodiversity Theme 2 Metabolic Diversity - What are the different.pdf
2. Biodiversity Theme 2 Metabolic Diversity - What are the different.pdf
 

Recently uploaded

Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
EADTU
 
Orientation Canvas Course Presentation.pdf
Orientation Canvas Course Presentation.pdfOrientation Canvas Course Presentation.pdf
Orientation Canvas Course Presentation.pdf
Elizabeth Walsh
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
Peter Brusilovsky
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
EADTU
 
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MysoreMuleSoftMeetup
 

Recently uploaded (20)

Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
AIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.pptAIM of Education-Teachers Training-2024.ppt
AIM of Education-Teachers Training-2024.ppt
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
 
Orientation Canvas Course Presentation.pdf
Orientation Canvas Course Presentation.pdfOrientation Canvas Course Presentation.pdf
Orientation Canvas Course Presentation.pdf
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
 
PANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptxPANDITA RAMABAI- Indian political thought GENDER.pptx
PANDITA RAMABAI- Indian political thought GENDER.pptx
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
 
Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17
 
Introduction to TechSoup’s Digital Marketing Services and Use Cases
Introduction to TechSoup’s Digital Marketing  Services and Use CasesIntroduction to TechSoup’s Digital Marketing  Services and Use Cases
Introduction to TechSoup’s Digital Marketing Services and Use Cases
 
Observing-Correct-Grammar-in-Making-Definitions.pptx
Observing-Correct-Grammar-in-Making-Definitions.pptxObserving-Correct-Grammar-in-Making-Definitions.pptx
Observing-Correct-Grammar-in-Making-Definitions.pptx
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
 
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptxMichaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
Michaelis Menten Equation and Estimation Of Vmax and Tmax.pptx
 
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
 
VAMOS CUIDAR DO NOSSO PLANETA! .
VAMOS CUIDAR DO NOSSO PLANETA!                    .VAMOS CUIDAR DO NOSSO PLANETA!                    .
VAMOS CUIDAR DO NOSSO PLANETA! .
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 

16. Which of the following is true about model organisms a. Model or.pdf

  • 1. 16. Which of the following is true about model organisms? a. Model organisms can be used to understand universal biological processes b. Drosophila, mouse, and yeast are examples of model organisms c. Model organisms generally have short generation times leading to high data yields d. All of the above