Difference between revisions of "GENialOMICS"

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Build 3 - picking up gene names from ORF instead of ordered locus
 
Build 3 - picking up gene names from ORF instead of ordered locus
 
* [[Media:Gmbuilder-genialomics-12032015-build-3.zip | gmbuilder-genialomics-12032015-build-3.zip]]
 
* [[Media:Gmbuilder-genialomics-12032015-build-3.zip | gmbuilder-genialomics-12032015-build-3.zip]]
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[[User:Anuvarsh|Anuvarsh]] ([[User talk:Anuvarsh|talk]]) 14:58, 3 December 2015 (PST)
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[[User:Anuvarsh|Anuvarsh]] ([[User talk:Anuvarsh|talk]]) 14:58, 3 December 2015 (PST)<br>
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Build 4 - customized TallyEngine
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* [[Media:Gmbuilder-genialomics-12032015-build-4.zip|gmbuilder-genialomics-12032015-build-4.zip]]
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[[User:Anuvarsh|Anuvarsh]] ([[User talk:Anuvarsh|talk]]) 15:18, 3 December 2015 (PST)
 
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Revision as of 23:18, 3 December 2015

Genialomics-banner.jpg


Weekly Group Assignments Shared Group Journals Project Links Team Members


Week 10


Week 11

Individual Goals and Progress

Weekly Goals and Progress
Anu Varshneya Brandon Litvak Veronica Pacheco Kevin Wyllie
Goals
  • Complete journal club individual assignment
  • Create and practice journal club presentation with Brandon
  • Find a MOD
  • Create project timeline with soft deadlines for each person/milestone
  • Complete milestone 0: Working Environment Setup
  • Complete milestone 1: Version Control Setup
  • Begin milestone 2: “Developer Rig” Setup and Initial As-Is Build
  • Reformat Home Page with Dr. Dahlquists recommendations
  • Perform an initial import/export cycle (with Anu)
  • Figure out a file management system (with Anu)
  • Characterize regular expression patterns for ID detection
  • Further explore the found MOD and review it
  • Complete Journal Club presentation on the genome paper

Work with Kevin Wyllie

  • Understand experimental design
  • Understand sample-data relationship
    • raw.zip and .sdrf
    • Construct sample-data diagram
  • Develop compiled raw data file

Work with Veronica Pacheco

  • Understand experimental design
  • Understand sample-data relationship
    • raw.zip and .sdrf
    • Construct sample-data diagram
  • Develop compiled raw data file
Progress
  • Found a possible model organism database (with Brandon Litvak)
  • The journal club presentation and outline was prepared; MOD was examined and reviewed
  • Completed journal club individual assignment
  • Created and practice journal club presentation with Brandon
  • Found a MOD
  • Created project timeline with soft deadlines for each person/milestone
  • Completed milestone 0: Working Environment Setup
  • Reformatted Home Page with Dr. Dahlquists recommendations
  • Journal Club Presentation File: Genome Presentation
  • Found a possible model organism database.
    • The more recent version of the MOD was found
  • The regular expression patterns for J2315 were determined
  • Preparation was done for the Genome Paper Presentation
    • Completed outline of the genome paper
  • File management system was determined
  • we understood the experimental design
  • made chart for microarray experiment
  • finished powerpoint on microarray paper
  • Vpachec3 Week 11
 Created methods diagram (media:KWVPMethoddiagram.jpg).
  • File:B. Cenopacia.pptx
  • we understood the experimental design
  • made chart for microarray experiment
  • finished powerpoint on microarray paper
Individual Journal Pages

File Management System

  • Files utilized in weekly projects will renamed as follows: XXXX_GEN_(Initials)(Week#)_yyyymmdd, where "XXXX" is the original filename. If multiple versions of the same file (with identical filenames) are used on the same day then a (positive integer) (starting from 1) will be added to any additional versions (e.g. XXXX_GEN_BL11_yyyymmdd, XXXX_GEN_BL11_yyyymmdd(1), XXXX_GEN_BL11_yyyymmdd(2), for three different versions of the same file uploaded by Brandon Litvak during Week 11)
  • Files will be uploaded to the weekly progress table under a file row with a clear label (under the respective group member that created them/used them)
  • All original unmodified files will be saved and will also be uploaded, together, as a compressed zip with the filename: ORIG_GEN_(Initials)(Week#); the compressed zip containing all original files will be the last entry in the row designated for the files, with the label "ORIGINAL FILES"

Other Progress

Journal Club Presentations

Genome Paper Presentation Week 11
Microarray Paper Presentation Week 12

Week 12

Individual Goals and Progress

Weekly Goals and Progress
Anu Varshneya Brandon Litvak Veronica Pacheco Kevin Wyllie
Goals
  • Complete milestone 0: Working Environment Setup
    • Set up the development machine (my laptop) with all required software for coding.
  • Complete milestone 1: Version Control Setup
    • Set up a branch specific to our project and clone necessary code from GitHub onto the development machine.
  • Complete milestone 2: “Developer Rig” Setup and Initial As-Is Build
    • Confirm that all core software for developing, building, and testing prototype version of GenMAPP Builder are on the development machine.
    • Set up Eclipse and java project workspace.
    • Run initial build.
  • Complete Milestone 1: Initial Database Export
  • Create a Gene Database testing report for the initial export
  • Further explore the various ID systems; verify previous findings
  • Create expressions for Match/PGSQL that will assist in evaluating the quality of any exported databases

Work with Kevin Wyllie

  • Read the microarray paper to understand the experiment.
  • Create a table or list that shows the correspondence between the samples in the experiment and the files you have downloaded.
  • Determine how many biological or technical replicates, and which samples were labeled with Cy3 or Cy5.
  • Create a Master Raw Data file that contains the IDs and columns of data required for further analysis.
  • Consult with Dr. Dahlquist on how to process the data (normalization, statistics).

Work with Veronica Pacheco

  • Read the microarray paper to understand the experiment.
  • Create a table or list that shows the correspondence between the samples in the experiment and the files you have downloaded.
  • Determine how many biological or technical replicates, and which samples were labeled with Cy3 or Cy5.
  • Create a Master Raw Data file that contains the IDs and columns of data required for further analysis.
  • Consult with Dr. Dahlquist on how to process the data (normalization, statistics).
Progress
  • Completed milestone 0: Working Environment Setup
  • Completed milestone 1: Version Control Setup
  • Completed milestone 2: “Developer Rig” Setup and Initial As-Is Build
  • Began milestone 3: Species Profile Creation
    • Need to consult with Brandon and/or Dr. Dionisio before continuing.
  • Completed Milestone 1: Initial Database Export
  • Completed Milestone 2: ID Pattern Definition and Verification (will be revisited for future work with modified forms of GenMAPP builder)
    • Should talk to Anu about further steps involving TallyEngine/GenMAPP builder (organize more exports)
  • Compiled data into one Excel spreadsheet.
  • Centered data and began statistical analysis (stopped at T statistic).
  • Compiled data into one Excel spreadsheet.
  • Centered data and began statistical analysis (stopped at T statistic).
Individual Journal Pages
Files Used/Created

Media:Raw_compiled_data_KW20151119.xlsx

Media:Raw_compiled_data_KW20151119.xlsx

Other Progress

Week 14

Individual Goals and Progress

Weekly Goals and Progress
Anu Varshneya Brandon Litvak Veronica Pacheco Kevin Wyllie
Goals
  • Finish second build.
  • Analyze results from previous build with Brandon Litvak and determine modifications that need to be made to code.
  • Begin modifying code to collect gene names from "ORF" instead of "OrderedLocusTags"
  • Start writing README and scientific paper (parts of deliverables).

Work with Kevin Wyllie

  • Perform the statistical analysis in Excel.
  • Format the gene expression data for import into GenMAPP.
  • Import data into GenMAPP, create ColorSets, and run MAPPFinder.
  • Document and take notes on test runs with GenMAPP.
  • Use the EX.txt file to help the Coder/Quality Assurance team members to validate the .gdb.
  • Do a journal club outline of the paper so that you can use it in the Discussion section of your group report and your final presentation.

Create a .mapp file showing one pathway that is changed in your data.

Work with Veronica Pacheco

  • Perform the statistical analysis in Excel.
  • Format the gene expression data for import into GenMAPP.
  • Import data into GenMAPP, create ColorSets, and run MAPPFinder.
  • Document and take notes on test runs with GenMAPP.
  • Use the EX.txt file to help the Coder/Quality Assurance team members to validate the .gdb.
  • Do a journal club outline of the paper so that you can use it in the Discussion section of your group report and your final presentation.

Create a .mapp file showing one pathway that is changed in your data.

Progress
  • Finished second build.
Individual Journal Pages
Files Used/Created

Build 2 - with customized species profile:

Anuvarsh (talk) 15:22, 1 December 2015 (PST)

Build 3 - picking up gene names from ORF instead of ordered locus

Anuvarsh (talk) 14:58, 3 December 2015 (PST)

Build 4 - customized TallyEngine

Anuvarsh (talk) 15:18, 3 December 2015 (PST)

Other Progress

Burkholderia cenocepacia Genome Paper

Holden, M. T. G., Seth-Smith, H. M. B., Crossman, L. C., Sebaihia, M., Bentley, S. D., Cerdeño-Tárraga, A. M., … Parkhill, J. (2009). The Genome of Burkholderia cenocepacia J2315, an Epidemic Pathogen of Cystic Fibrosis Patients . Journal of Bacteriology, 191(1), 261–277. http://doi.org/10.1128/JB.01230-08

  • The link to the abstract from PubMed. [1]
  • The link to the full text of the article in PubMedCentral. [2]
  • The link to the full text of the article (HTML format) from the publisher web site. [3]
  • The link to the full PDF version of the article from the publisher web site. [4]
  • Who owns the rights to the article? American Society for Microbiology
    • Does the journal own the copyright? Yes
    • Do the authors own the copyright? No
    • Do the authors own the rights under a Creative Commons license? No
    • Is the article available “Open Access”? Yes
  • What organization is the publisher of the article? What type of organization is it? (commercial, for-profit publisher, scientific society, respected open access organization like Public Library of Science or BioMedCentral, or predatory open access organization, see the list of) (Open Access Scholarly Publishers Association Members) here. American Society for Microbiology which is a scientific society
  • Is this article available in print or online only? It is both available in print and online.
  • Has LMU paid a subscription or other fee for your access to this article? Well I first looked at this article through web of science which LMU does pay for but looking at the article through PubMed, PubMed central and the publisher website was free.
  • How many articles does this article cite? It has 150 cited references.
  • How many articles cite this article? It is cited 128 times.
  • 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? A lot of the papers revolved around antibiotic resistance and therapeutic strategies.


Microarray Paper

Van Acker, H., Sass, A., Bazzini, S., De Roy, K., Udine, C., Messiaen, T., ... & Coenye, T. (2013). Biofilm-grown Burkholderia cepacia complex cells survive antibiotic treatment by avoiding production of reactive oxygen species. PLoS One, 8(3), e58943.

  • This article is suitable for your project. — Kdahlquist (talk) 10:17, 10 November 2015 (PST)
  • The link to the abstract from PubMed: http://www.ncbi.nlm.nih.gov/pubmed/?term=Biofilm-Grown+Burkholderia+cepacia+Complex+Cells+Survive+Antibiotic+Treatment+by+Avoiding+Production+of+Reactive+Oxygen+Species
  • The link to the full text of the article in PubMedCentral: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596321/
  • The link to the full text of the article (HTML format) from the publisher web site: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0058943
    • Cannot find HTML format on publisher web site.
  • The link to the full PDF version of the article from the publisher web site: http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0058943&representation=PDF
  • Who owns the rights to the article? Authors of the article: Heleen Van Acker, Andrea Sass, Silvia Bazzini, Karen De Roy, Claudia Udine, Thomas Messiaen, Giovanna Riccardi, Nico Boon, Hans J. Nelis, Eshwar Mahenthiralingam, Tom Coenye
  • Does the journal own the copyright? Yes.
  • Do the authors own the copyright? No.
  • Do the authors own the rights under a Creative Commons license? Yes.
  • Is the article available “Open Access”? Yes.
  • What organization is the publisher of the article? What type of organization is it? Public Library of Science, Professional OA Publisher, Member of Open Access Scholarly Publishers Association
  • Is this article available in print or online only? Available in print and online.
  • Has LMU paid a subscription or other fee for your access to this article? No.
  • Where does MicroArray Data reside? https://www.ebi.ac.uk/arrayexpress/experiments/E-MEXP-3532/?keywords=&organism=Burkholderia+cenocepacia&exptype%5B%5D=%22rna+assay%22&exptype%5B%5D=%22array+assay%22&array=
  • What experiment was performed? What was the "treatment" and what was the "control" in the experiment? The experiment hoped to test whether persister cells are present in Burkholderia cepacia complex (Bcc) biofilms, what the molecular basis of antimicrobial tolerance in Bcc persisters is, and how persisters can be eradicated from Bcc biofilms. Burkholderia cenocepacia biofilms were treated with 1024 µg/ml of tobramycin in the treatment group. The control group did not receive any tobramycin.
  • Were replicate experiments of the "treatment" and "control" conditions conducted? Were these biological or technical replicates? How many of each? 2 technical replicates were made across 5 biological replicates for the control, and 2 technical replicates of 3 biological replicates of the treatments.
  • How many articles does this article cite? This article has 34 cited references.
  • How many articles cite this article? This article is cited 17 times in All Databases, and 17 time in Web of Science Core Collection.
  • 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? Most of the articles are related to antimicrobial therapy, tolerance, and resistance.



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