QuBi/modules/biol203-Lab4: Difference between revisions

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* Be able to identify individual gene elements based on an NCBI GenBank file.
* Be able to identify individual gene elements based on an NCBI GenBank file.
* Be able to identify alternative splice forms a single gene using NCBI web tools
* Be able to identify alternative splice forms a single gene using NCBI web tools
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==Lab Report Grading Policy==
# '''Introduction (5 pts)'''. Define these terms: bioinformatics, homology, BLAST, e-value, alternative splicing (Your statements are not to be copied from the Lab Manual.)
# '''Materials and Methods (5 pts)'''. List and describe steps of a BLAST search & steps of identifying alternative splicing variants with BLAST.
# '''Results (20 pts)'''. Copy your results in a document during the exercises, and hand in an organized copy. Include answers to all queries and questions.
# '''Discussion and Conclusion (15 pts)'''. Answer the five discussion questions. Summary/Conclusion A sentence or two will suffice.
# '''References (5 pt)'''. Credit is given for pertinent references obtained from sources other than the Lab Manual.
(Total: 50 pts)
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==Introduction==
Research in molecular genetics requires effective use of online bioinformatic tools to analyze and understand the genetic materials being worked with. The following exercises will expose you to real-world scenarios and introduce you to the methods and tools you can use to solve these problems.
In biology, homology is defined as a common or shared evolutionary origin. Therefore, homologous sequences are sequences diverged from a common ancestor. Note that the word "homology" is different from "similarity": homologous structures or sequences may not be similar (e.g., forearms in mammals and birds) and, conversely, similar structures or sequences may not be homologous (e.g., wings in birds and bats).
BLAST is a computer algorithm allowing for efficient search of similar sequences in a large database. While BLAST performs a similar function to Google search, you should not use Google to look for similar sequences in a human or other genome. When sequences are similar with a sufficient statistical significance (measured by e-value, see below), we consider these sequences homologous to each other.
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Revision as of 19:42, 2 February 2015

Lab 4. Bioinformatics Exercises: BLAST & Gene Structure

Expected Learning Outcomes

  • Be able to perform NCBI BLAST search for homologous sequences in GenBank.
  • Be able to identify individual gene elements based on an NCBI GenBank file.
  • Be able to identify alternative splice forms a single gene using NCBI web tools

Lab Report Grading Policy

  1. Introduction (5 pts). Define these terms: bioinformatics, homology, BLAST, e-value, alternative splicing (Your statements are not to be copied from the Lab Manual.)
  2. Materials and Methods (5 pts). List and describe steps of a BLAST search & steps of identifying alternative splicing variants with BLAST.
  3. Results (20 pts). Copy your results in a document during the exercises, and hand in an organized copy. Include answers to all queries and questions.
  4. Discussion and Conclusion (15 pts). Answer the five discussion questions. Summary/Conclusion A sentence or two will suffice.
  5. References (5 pt). Credit is given for pertinent references obtained from sources other than the Lab Manual.

(Total: 50 pts)


Introduction

Research in molecular genetics requires effective use of online bioinformatic tools to analyze and understand the genetic materials being worked with. The following exercises will expose you to real-world scenarios and introduce you to the methods and tools you can use to solve these problems.

In biology, homology is defined as a common or shared evolutionary origin. Therefore, homologous sequences are sequences diverged from a common ancestor. Note that the word "homology" is different from "similarity": homologous structures or sequences may not be similar (e.g., forearms in mammals and birds) and, conversely, similar structures or sequences may not be homologous (e.g., wings in birds and bats).

BLAST is a computer algorithm allowing for efficient search of similar sequences in a large database. While BLAST performs a similar function to Google search, you should not use Google to look for similar sequences in a human or other genome. When sequences are similar with a sufficient statistical significance (measured by e-value, see below), we consider these sequences homologous to each other.