Week 10

Under Construction

The content in this page has not been finalized and is still subject to change. Use the current information at your own risk.

This journal entry is due on Friday, November 1, at midnight PST. (Thursday night/Friday morning)

A note on the grading for this assignment:

• Your individual journal page containing the Annotated Bibliography is worth a total of 25 points. Students will be graded on an individual basis for this portion of the assignment.
• The team wiki page is worth a total of 10 points. All members of a team are expected to contribute to the team page; each member of the group will receive the same grade for this portion of the assignment.

Individual Journal Assignment

• Store this journal entry as "username Week 10" (i.e., this is the text to place between the square brackets when you link to this page).
• Link from your user page to this Assignment page.
• Link to your journal entry from your user page.
• Link back from your journal entry to your user page.
• Don't forget to add the "Journal Entry" category to the end of your wiki page.
  • Note: you can easily fulfill all of these links by adding them to your template and then using your template on your journal entry.

Annotated Bibliography of Genomics Papers for your Species

For this assignment, you will be creating an annotated bibliography of genomics papers for your team's species. Glenn Johnson-Grau will be giving a guest presentation in class on Tuesday, October 29 to introduce you to searching various bibliographic databases.

• On your individual journal entry pages, you will keep an electronic lab notebook that details how you conducted your search, along with the results of your search.
• On your team page (see shared assignment below), you will combine your results with your teammates into one final, ranked bibliography. Specifically, you need to search the literature/biological databases for the following:
  1. The journal article which describes the results of the whole genome sequencing for your species.
     • State which database you used (e.g., GoogleScholar, PubMed, ISI Web of Science/Knowledge).
     • State what you used as search terms (e.g., "genome") and what type of search terms (e.g., keyword, author, title, etc.)
     • Give an overview of the results of the search.
       • How many results did you get?
       • Give an assessment of how relevant the results were.
     • Record the full bibliographic citation of the relevant paper(s), formatted according to the Guidelines for Literature Citations in a Scientific Paper.
     • Create a link to the HTML version of your journal article on the publisher web site. Note that PubMed Central is not an actual publisher web site, but a secondary database of papers.
     • Download the PDF file of the journal article, upload it to the wiki and link to it from your team's home page. Note that you can only upload the PDF file to our wiki if there are no copyright restrictions on the article. If there are copyright restrictions, then you will need to provide a link to the download on the publisher site.
  2. Use the genome sequencing article you found to perform a prospective search in the ISI Web of Science/Knowledge database.
     • Give an overview of the results of the search.
       • How many results did you get?
       • Based on the titles and abstracts of the papers, what type of research directions have been taken now that the genome for that organism has been sequenced?
  3. Each person needs to find two potential journal articles that refer to public microarray data for your species than are different than what your teammates have found. Thus, each team should find either 6 (for a 3-person team) or 8 (for a 4 person team) articles. If you cannot find all six or eight articles, please let the instructors know right away.
     • The experiments must be measuring gene expression aka transcriptional profiling or transcription profiling by array. Microarrays can also be used for other types of experiments, but these won't be suitable for analysis.
     • State which database you used (e.g., GoogleScholar, PubMed, ISI Web of Science/Knowledge). It may actually be easier to find the microarray data first and then find the corresponding journal article.
     • State what you used as search terms and what type of search terms they were.
     • Give an overview of the results of the search.
       • How many results did you get?
       • Give an assessment of how relevant the results were.
     • Record the full bibliographic citation of the relevant papers, formatted according to the Guidelines for Literature Citations in a Scientific Paper.
     • Create a link to the HTML version of the journal article on the publisher web site. Note that PubMed Central is not an actual publisher web site, but a secondary database of papers.
     • Download the PDF file of the journal article, upload it to the wiki and link to it from your team's home page. Note that you can only upload the PDF file to our wiki if there are no copyright restrictions on the article. If there are copyright restrictions, then you will need to provide a link to the download on the publisher site.
     • You must also link to the web site where the microarray data resides.
     • Download the microarray dataset file, upload it to the wiki, and link to it on your individual and team pages.
       • Remeber, microarray data is not centrally located on the web. Some major sources are:
         • NCBI GEO
         • EBI ArrayExpress
         • Stanford Microarray Database
         • PUMAdb (Princeton Microarray Database)
         • In addition, microarray data can sometimes be found as supplementary information with a journal article or on an investigator's own web site.
       • For each of the microarray articles/datasets, answer the following:
         1. What experiment was performed? What was the "treatment" and what was the "control" in the experiment?
         2. Were replicate experiments of the "treatment" and "control" conditions conducted? Were these biological or technical replicates? How many of each?
     • On your team wiki page, compile the list of citations, links, and answers to questions, ranking the papers one through six (or eight) in order of preference for using the dataset for your project. The instructors will review your results to make sure that the data are suitable for the project before you move forward with the analysis.

Team Journal Assignment

Team Membership

To be determined.

Creating a Team Wiki Page

From this week on, your "Shared Journal Assignments" will become "Team Journal Assignments". For this week, some preliminary tasks are assigned to your team in preparation for the launch of the final projects.

• Name your team and create your team home page on the wiki.
  • The name of your team home page should simply be the team name.
  • This page will be the main place from which your team project will be managed. Include all of the information/links that you think will be useful for your team to communicate with each other and with the instructors. Hint: the kinds of things that are on your own User pages and on the course Main page can be used as a guide.
  • Create a link to your team's page on the course Main page.
  • Post your list of ranked microarary papers for your species as described in the annotated bibliography assignment above.