Cbb752b14
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| - | For ''graduate students'' the course | + | For ''graduate students'' the course can be broken up into two "modules" (each counting 0.5 credit towards MB&B course requirement): |
'''MB&B 753a3''', Bioinformatics: Practical Application of Data Mining (1st half of term) | '''MB&B 753a3''', Bioinformatics: Practical Application of Data Mining (1st half of term) | ||
Revision as of 00:13, 28 August 2013
Bioinformatics: Practical Application of Simulation and Data Mining
Course will next be offered in Spring 2014. Below is website for course in Fall 2012.
CBB 752
UPDATES
Course Information
Course Description
Bioinformatics encompasses the analysis of gene sequences, macromolecular structures, and functional genomics data on a large scale. It represents a major practical application for modern techniques in data mining and simulation. Specific topics to be covered include sequence alignment, large-scale processing, next-generation sequencing data, comparative genomics, phylogenetics, biological database design, geometric analysis of protein structure, molecular-dynamics simulation, biological networks, normalization of microarray data, mining of functional genomics data sets, and machine learning approaches for data integration.
Concise undergraduate course description
Techniques in data mining and simulation applied to bioinformatics, the computational analysis of gene sequences, macromolecular structures, and functional genomics data on a large scale. Sequence alignment, comparative genomics and phylogenetics, biological databases, geometric analysis of protein structure, molecular-dynamics simulation, biological networks, microarray normalization, and machine-learning approaches to data integration.
See entry from undergraduate catalog: http://students.yale.edu/oci/resultDetail.jsp?course=11937&term=201203 , viz:
MB&B 452 01 (11937) /MCDB452/MB&B752/MB&B753/MB&B754/CB&B752/MCDB752/CPSC752 Bioinformatics: Practical Application of Simulation and Data Mining Mark Gerstein MW 1.00-2.15 BASS 305 Fall 2012 No regular final examination Areas Sc Prerequisites: MB&B 301b and MATH 115a or b, or permission of instructor. MCDB 120a or 200b is a prerequisite for courses numbered MCDB 202 and above.
Different headings for this class
MB&B452/MCDB452
This version of the course consists of lectures, written problem sets, and a final (semi-computational section and a literature survey) project.
MB&B752/MCDB752
This version of the course consists of lectures, written problem sets, and a final (semi-computational section and a literature survey) project.
CB&B752/CPSC752
This version of the course consists of lectures, programming assignments, and a final programming project.
For graduate students the course can be broken up into two "modules" (each counting 0.5 credit towards MB&B course requirement):
MB&B 753a3, Bioinformatics: Practical Application of Data Mining (1st half of term)
MB&B 754a4, Bioinformatics: Practical Application of Simulation (2nd half of term)
Each module consists of lectures, written problem sets, and a final, graduate level written project that is half the length of the full course's final project.
For the grade weighting schemes of each course version, see Class Requirements section.
Prerequisites
The course is keyed towards CBB graduate students as well as advanced MB&B undergraduates and graduate students wishing to learn about types of large-scale quantitative analyses that whole-genome sequencing will make possible. It would also be suitable for students from other fields such as computer science or physics wanting to learn about an important new biological application for computation.
Students should have:
A basic knowledge of biochemistry and molecular biology. A knowledge of basic quantitative concepts, such as single variable calculus, some probability and statistics, and basic programming skills. These can be fulfilled by the following prerequisites statement: "Prerequisites: MBB 200 and Mathematics 115 or permission of the instructor."
Timing & location
Class: Meeting from 1:00-2:15 pm on Monday and Wednesday, in Bass 305. (First meeting will be on 15 Jan 2014 (Wed) and the next meeting will be 31 Aug 2012 (Fri).)
Discussion section: Every Thursday 4-5pm First section: 6th Sept 2012 (Thurs) @ Bass 405 4-5pm
Each section will include discussion of papers assigned (below) and each paper will be presented by a student. Each presentation should be approx. 10 min. Powerpoint slides are optional. Please note the presentation is separate from the write-up, i.e. you still need to do the write-up.
Instructors
Consultation is available UPON REQUEST or according to times stipulated by the individual instructors.
Instructor-in-Charge
| Name | Office | |
|---|---|---|
| Mark Gerstein | Bass 432A | mark.gerstein(at)yale.edu |
Guest Instructors
| Name | Office | |
|---|---|---|
| Corey O'Hern | Mason Laboratory | corey.ohern(at)yale.edu |
| Jesse Rinehart | 300 George St | jesse.rinehart(at)yale.edu |
| James Noonan | 333 Cedar St | james.noonan(at)yale.edu |
| Kei Cheung | 300 George St | kei.cheung(at)yale.edu |
| Steven Kleinstein | 300 George St | steven.kleinstein(at)yale.edu |
| Dov Greenbaum | -- | dov.greenbaum(at)aya.yale.edu |
Teaching Fellows
| Name | Office | |
|---|---|---|
| Michael Rutenberg Schoenberg | Bass 437 | michael.rutenbergschoenberg(at)yale.edu |
| Cong Li | Bass 437 | cong.li(at)yale.edu |
Topics/Class Schedule
Class Schedule (including a list of topics and quiz dates)
Polls
Poll for students' sign up and good times for the weekly discussion section Result
Poll2 Result2
"Section or JR's talk" Poll Results
Poll3
Make-up lecture from Prof. O'Hern
Discussion Section Readings
Session 1
TBD T.F. Smith and M.S. Waterman. (1981) Identification of common molecular subsequences. Journal of Molecular Biology,147(1): 195-7. PMID: 7265238. PDF [KEEP]
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. (1990) Basic local alignment search tool. Journal of Molecular Biology, 215(3):403-10. PMID: 2231712. PDF [KEEP]
Session 2
TBD Metzker ML. "Sequencing technologies - the next generation” Nature Reviews Genetics. 11 (2010) PDF [KEEP]
Bailey TL, Williams N, Misleh C, Li WW. (2006) MEME: discovering and analyzing DNA and protein sequence motifs, Nucl Acids Res.34:W369-373 PDF [KEEP]
Session 3
TBD Olsen JV, Blagoev B, Gnad F, Macek B, Kumar C, Mortensen P, Mann M. (2006) Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.Cell. 2006 Nov 3;127(3):635-48. PDF [KEEP]
Nevan J. Krogan et al (2006) Global landscape of protein complexes in the yeast Saccharomyces cerevisiae Nature 440, 637-643 (30 March 2006) PDF [KEEP]
Session 4
TBD Wheeler DA et al. "The complete genome of an individual by massively parallel DNA sequencing,” Nature. 452:872-876 (2008) PDF [KEEP]
Antezana E, Egaña M, Blondé W, Illarramendi A, Bilbao I, De Baets B, Stevens R, Mironov V, Kuiper M. (2009) The Cell Cycle Ontology: an application ontology for the representation and integrated analysis of the cell cycle process. Genome Biol. 2009;10(5):R58. Epub 2009 May 29. PDF [????]
Session 7
TBD \n
Presidential Commission for the study of Bioethical Issues - Privacy and Progress in Whole Genome Sequencing. October 2012. You only need to read the Executive Summary and the Introduction (~35 pages total) for the write-up and presentation PDF
Session 4
TBD\n Sotiriou et al. (2006) Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis. JNCI J Natl Cancer Inst (15 February 2006) 98 (4):262-272.doi: 10.1093/jnci/djj052 PDF [Sebastian K.]
Ekman D, Light S, Björklund AK, Elofsson A. (2006) What properties characterize the hub proteins of the protein-protein interaction network of Saccharomyces cerevisiae? Genome Biol. 2006;7(6):R45. PDF [Kyle M.]
Session X: Peaks
Rozowsky et al. (2009) PeakSeq enables systematic scoring of ChIP-seq experiments relative to controls
Session 7
TBD \n
Martin Karplus and J. Andrew McCammon. (2002) Molecular dynamics simulations of biomolecules. Nature Structural Biology,9, 646-52. PMID: 12198485.PDF
ML Connolly. (1983) Solvent-accessible surfaces of proteins and nucleic acids. Science, 221(4612): 709-13. PMID: 6879170.PDF
Session 8
TBD \n
Dill KA, Ozkan SB, Shell MS, Weikl TR. (2008) The Protein Folding Problem.Annu Rev Biophys,9, 37:289-316. PMID: 2443096.PDF
Bowman GR, Beauchamp KA, Boxer G, Pande VS. “Progress and challenges in the automated construction of Markov state models for full protein systems,” J. Chem. Phys. 131 (2009) 124101 PDF
Class Requirements
Discussion Section / Readings
Papers will be assigned throughout the course. These papers will be presented and discussed in weekly 60-minute sections with the TFs. A brief summary (a half-page per article) should be submitted at the beginning of the discussion session.
Bioinformatics quizzes
There will be four short quizzes (25 minutes) in class comprising SIMPLE questions that you should be able to answer from the lectures plus the main readings.
Answer keys to Quizzes 1-4 cbb752a12: found here
Programming Assignments (CBB and CS) and Programming issues
There will be several short programming assignments required for CBB and CS students taking this course. Acceptable languages and submission requirements will be discussed prior to the first assignment. These assignments are NOT required for students not taking the CBB or CS sections of the course.
These are the programming languages that we permit in the programming assignments and final project: Perl, Python, C, C++, MATLAB and R. If you really feel more comfortable with other languages, please email the TFs to discuss. Also, packages such as BioPerl and BioPython are not allowed in the assignments and final project. If in doubt, please consult the TFs.
We recommend the use of PERL for most of the programming. A useful resource is the following book: Programming Perl, 3rd Edition in the O' Reilly series, by Larry Wall, Tom Christiansen, Jon Orwant. The Yale Library has also older editions, which would work too. We would also recommend the following online resources: http://www.perlmonks.org/ and http://stackoverflow.com/. Otherwise, Google is your best friend.
Assignment postings
Assignment 1: PDF DUE DATE: 10th Oct 2012 11.59PM
Files for programming assignment: Download here
Test input and output files: Download here
Assignment 2: All files are here. DUE DATE: 28th Nov. 2012 11.59PM
Assignment 3: All files are [1] DUE DATE: 12th Dec. 2012 5.00PM
Final Project
MBB/MCDB : Files for Galaxy
Grade Categories
The following are the approximate grading systems:
CBB and CPSC Sections:
| Category | % of Total Grade |
|---|---|
| Quizzes | 33% |
| Final Project | 33% |
| Discussion Section | 9% |
| Programming Assignments | 25% |
MBB and MCDB Sections:
| Category | % of Total Grade |
|---|---|
| Quizzes | 33% |
| Final Project | 33% |
| Discussion Section | 17% |
| Problem Sets | 17% |
Relevant Yale College Regulations
Students may have questions concerning end-of-term matters. Links to further information about these regulations can be found below:
http://yalecollege.yale.edu/content/reading-period-and-final-examination-period
http://yalecollege.yale.edu/content/completion-course-work
Brief presentation on how to cite correctly : http://archive.gersteinlab.org/mark/out/log/2012/06.12/cbb752b12/cbb752_cite.ppt
Plagiarism
Below is a message from Dean Mary Miller of Yale College about citing your references and sources of information and plagiarism:
"
You need to cite all sources used for papers, including drafts of papers, and repeat the reference each time you use the source in your written work.
You need to place quotation marks around any cited or cut-and-pasted materials, IN ADDITION TO footnoting or otherwise marking the source.
If you do not quote directly – that is, if you paraphrase – you still need to mark your source each time you use borrowed material.
Otherwise you have plagiarized.
It is also advisable that you list all sources consulted for the draft or paper in the closing materials, such as a bibliography or roster of sources consulted.
You may not submit the same paper, or substantially the same paper, in more than one course.
If topics for two courses coincide, you need written permission from both instructors before
either combining work on two papers or revising an earlier paper for submission to a new course.
It is the policy of Yale College that all cases of academic dishonesty be reported to the chair of the Executive Committee.... "
Also, it might be of interest to people, to look at this recent article regarding academic dishonesty.
Misc
Permissions on using website material
Graphic for course homepage
If you're really motivated, take a look at http://gersteinlab.org/jobs for further Research Opportunities
Audio recordings for selected lectures
26th Sept 2012 Lecture 8 - Proteomics Part II by Prof J. Rinehart MP3
1st Oct 2012 Lecture 9 - Semantic Web & Databases by Prof KH Cheung MP3
Pages from previous years
2012 fall 2012 spring (quizzes), 2011, 2010, 2009 and earlier (Pointers on finding things on old class pages)
