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Perl%20SYLLABUS%20PB

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  • 1. UNIVERSITY OF MIAMI DEPARTMENT OF BIOLOGY Biostatistics Course Title Perl Programming Lab Term Spring 2009 Number BIL 575 Credits 1 Class Meeting Tue, 11:00-1:50PM Room Cox 108 Instructor Information Name/Title Dr. Patricia Buendia Department Biology Office location 234 A Phone 305-284-3523 E-mail pbuendia@bio.miami.edu Web Page http://www.bio.miami.edu/pbuendia Laboratory Objectives The Perl programming lab is for students who have little or no programming experience. The objective of the lab is to teach students to write computer code that will automate and speed up their genetic and genomic data analysis and provide new ways to explore the data to advance knowledge discovery in biology. Each lab will start with a 40 minutes lecture in which we discuss new syntax and programming elements and the rest of the time will be spent on hands-on programming assignments using real genetic/genomic/proteomic data sets. Students will be monitored and will get help in completing their assignments. Students are encouraged to bring their own data sets for analysis during the last portion of the semester. Students will learn to use Perl regular expressions, arrays and hashes, Perl packages to read XML files with gene data, file handling routines, learn to call external programs and to use the Bioperl toolkit. The Bioperl toolkit provides additional modules to allow Perl programs access and process gene and genome sequence data. Some of the functions offered by Bioperl are Blast, conversion of sequence formats, sequence alignments, calculation of selection pressure, among many others. About Perl: In a popular Perl book, “Programming Perl” (published by O'Reilly Media), the programming language is described as: "Perl is a language for getting your job done." Perl has several mottos that convey aspects of its design and use. One is "There's more than one way to do it." (TIMTOWTDI, usually pronounced 'Tim Toady'). Others are "Perl: the Swiss Army 1
  • 2. Chainsaw of Programming Languages". A stated design goal of Perl is to make easy tasks easier and difficult tasks possible. Textbook No textbook is required. I will post links to files with instructions and code on the course’s web site. There are many free online resources: Perl Tutorials • Programming Perl: http://www.unix.com.ua/orelly/perl/prog3/index.htm • O’Reilly Beginner's Introduction to Perl: http://www.perl.com/pub/a/2008/04/23/a- beginners-introduction-to-perl-510.html • A Perl Tutorial http://www.civeng.carleton.ca/Courses/Grad/1994- 95/82.562/perl/index.html • Essential Perl: http://cslibrary.stanford.edu/108/EssentialPerl.html • Perl regular Expression for the common man http://www.anaesthetist.com/mnm/perl/Findex.htm#regex.htm • Steve Litt's Perls of Wisdom http://www.troubleshooters.com/codecorn/littperl/index.htm • Perl FAQ http://faq.perl.org/ There are hundreds of other tutorials and students may find their own preferred ones. In most cases all you need to do is “google” for something related to your Perl problem. For example if you need to know how to search for an element in a Perl array, google for “perl array search”. BioPerl Tutorials • BioPerl Wiki - Howto:Beginners http://bioperl.org/wiki/HOWTO:Beginners The Beginners' instructions in the BioPerl Wiki covers the basic use of Bio::Seq and Bio::SeqIO with first steps of BLAST (however we haven't installed BLAST yet). • BioPerl Tutorial http://www.bioperl.org/Core/Latest/bptutorial.html The excellent and comprehensive work of many BioPerl authors. • A BioPerl course http://www.pasteur.fr/recherche/unites/sis/formation/bioperl/ A comprehensive course at the Institut Pasteur. Contains structured chapters covering the essential aspects of BioPerl, sample data and example code, as well as references to the BioPerl tutorial. Recommended Textbooks: • Beginning Perl for Bioinformatics by James Tisdall • Programming Perl (3rd edition) by Larry Wall (Author), Tom Christiansen (Author), Jon Orwant (Author) 2
  • 3. Lab Outline 1. Hello World: an introduction to Perl programming. How to run a Perl program. Variables and data types and the importance of syntax. 2. Input/output and more syntax 3. Algorithms, control statements and loops 4. More control statements and loops 5. Subroutines 6. Comparing files. Combining and extracting data from different files 7. More Input/output: Process multiple files at once using open dir and readdir 8. BioPerl and object-orientation. Assignment: Count number of sequences in a Fasta file using loops and then using Bioperl. 9. Searching for conserved motifs in a multiple alignment. 10. Using hash tables to store and sort motifs. 11. Reading splicing graphs in XML format. 12. Programming and debugging in Perl using a IDE (Eclipse with Epic) for Windows. 13. Use Bioperl to run sequence alaignments, calculate the KaKs ratio of selective pressure, among other tasks. 14. Blast: Setting up a local sequence database and running blast queries from Perl We will be using ActivePerl for Windows and a simple text editor for most of the course and the IDE for the last few classes. The topics per date will be determined during the semester. Attendance This is a participatory course and you must be in the lab to succeed. Lab Etiquette Out of respect for your fellow students, and me, I request that you turn up to class on time, stay in class for the full period, avoid unnecessary noise or chatter and turn off your cell phone. Assignment Guidelines All lab assignments are to be completed during the lab and submitted after the lab or on the next lab meeting. If the assignment is not handed in on the due date, a grade of 0 will be assigned. If an assignment is late due to an unforeseen circumstance please notify the instructor. All assignments will be evaluated using the following criteria: • Clean and correct syntax • Correct result In this lab, the assignments are designed to have you practice writing your own programming code. While collaborations between students are permitted and helping each other is 3
  • 4. encouraged, it is each student’s responsibility to ensure that the submitted assignments represent their own personal work. Grading Policy percent of Grading Criteria number total Attendance 10% Lab Assignments ~13 90% Final Grading Scale A (A-, A, A+) B (B-, B, B+) C (C-, C, C+) D (D-, D, D+) Percentage Score 90-100 75-89 60-74 50-59 4

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