Presentation is loading. Please wait.

Presentation is loading. Please wait.

Welcome to the UCLA – IGERT 2005 Summer Bioinformatics Workshop IGERT – Sponsored Bioinformatics Workshop Series Michael Janis and Max Kopelevich, Ph.D.

Similar presentations

Presentation on theme: "Welcome to the UCLA – IGERT 2005 Summer Bioinformatics Workshop IGERT – Sponsored Bioinformatics Workshop Series Michael Janis and Max Kopelevich, Ph.D."— Presentation transcript:

1 Welcome to the UCLA – IGERT 2005 Summer Bioinformatics Workshop IGERT – Sponsored Bioinformatics Workshop Series Michael Janis and Max Kopelevich, Ph.D. Dept. of Chemistry & Biochemistry, UCLA

2 Who this workshop is for Biologists: –Integrating bioinformatics methods into their existing projects Bioinformatics students: –Preparing for and augmenting existing bioinformatics coursework Computational researchers: –Identifying and understanding common bioinformatics language classes and data structures

3 Why this workshop? Current graduate curriculum: –Assumes substantial knowledge base upon entry into bioinformatics program Researchers: –No general overview of computational research environments some aimed at tools (suites), others deep in theory base

4 Why learn bioinformatics? The 1 gene, 1 protein research model ignores the deluge of inferential biological data at our disposal This information must be combined for any thorough study of biological phenomena Assembly of qualitative (sequence, etc.) and quantitative (measured, inferential) data is beyond the capacity of a human to interpret in a systematic fashion Computational methods must be addressed both to interpret and to share research data in a meaningful way – Yet Another Tool in a biologist’s arsenal

5 What is Bioinformatics? A tool in a molecular biologist’s arsenal such as PCR, gels, or microarrays; or: A support machine for handling and storing large data sets; or: A discipline in its’ own right, enabled by a critical mass of biological data and mirroring the evolution of a number of scientific sub-disciplines

6 An argument for learning: as a tool for molecular biologists? 1 gene, 1 protein becomes an interactive series of pathways and protein interactions A pathway allows novel interaction discovery and ontological groupings of data Moving from identification of a gene that has biological function to elucidation of a pathway from a given biological function (just for example)

7 An argument for learning: as support for data management? Completion of the human genome working draft in June 2000 resulted in an absolute requirement for a logical, hierarchical way to store, modify, and retrieve data Cross-referencing information is necessary to incorporate disparate and sometimes conflicting information Combination of data and necessary algorithm development to find signal among the noise of the genome

8 An argument for learning: as an entirely new discipline? Evolutionary biology through homology –(COG for example) Gene expression and structure prediction –(alternative splicing for example) Protein and ncRNA modeling Genome mapping –(statistical genetics and disease correlations) Pathway prediction Towards an end: Systems Biology

9 What has bioinformatics allowed us to do? Evolutionary Biology –Clusters of Orthologous Genes (COG database) Structure and alignments –PFAM/RFAM Expression inferences –clustering to find interactions (for example through SMD: Genome mapping –(for example the UCSC Genome Browser:

10 What do we need to create our own genomic inferences? That’s the problem… The data is encoded… AGCTAGCGACTAGCGATTATA… –Now predict what this sequence codes for, how it is transcriptionally regulated, in what pathway does it function … The human genome is 3 billion bases. –Clearly we need a new set of tools Problem: no human being could ever look at all this data, so the patterns must be discovered computationally

11 The magic wand analogy The sum of all human knowledge can be encrypted and stored by marking a single scratch on a metal rod. It all depends upon RESOLUTION and LANGUAGE. We can apply this analogy to our analytical process: –High RESOLUTION is required to decode the genome –A robust LANGUAGE is required to achieve that RESOLUTION –Computational biology seeks to describe that LANGUAGE

12 How do discover meaningful biological patterns? Need to be able to pick “needles from haystacks” Need to be able to assemble needles Need to orient and classify needles And so on… This requires a strong, flexible environment The Shell, PERL, R, PostGreSQL/MySQL – integration, data exploration Statistical development environments – making inferences from the data Databases and resources – combining the data

13 How our workshop will help you (and how it won’t?) We cover common, portable, powerful resources – but require suitable activation energy! Integration for a project model is key Thus, easily understood but limited GUI based suites are not covered Likewise theory of algorithm development is covered in other courses and will be ignored (for the time being!)

14 How this workshop is structured Two lectures a week for six weeks (fast!) Lots of reading material (need to keep pace) Hands – on practical experience with biological data and programming tasks Peer interaction

15 What you’ll need for this workshop Access to either the online version of the text through O’Reilly Media (linked on the website, $20 for two months) or through purchase of the print bound version (approx $130, we’ll put in an order during the second week) Access to a computer. Any computer will do. Motivation to learn, and to ask questions

16 What is the text for this workshop? O’Reilly Media SafariU agglomerative text of 10 textbooks from O’Reilly, New Riders, and Addison- Wesley publishers Chosen for topics applicable to modern computational biology Since many texts overlap, no need to own all – cost reduction ($130 vs. over $500)

17 Class information Office: 4054 Young Hall IRC: #uclaBioinformatics, freenode server (mako) T / R 2-4 pm 1054 Young Hall, Aug 11- Sept. 16 2005

18 Class information BRIEF SUBJECT MATTER OUTLINE (SUBJECT TO CHANGE!) 08/11 Unix: Introduction to Unix; Bioknoppix 08/16 Unix basics, editors, remote logins 08/18 Shell programming 08/23 Regular expressions; biological data formats 08/25 Perl: data and control structures 08/30 Modular programming 09/01 Object oriented perl 09/06 Biological classes; Bioperl 09/08 NCBI tools; BLAST 09/13 Database design; perl DBI 09/15 Net programming; XML; CGI 09/16 R; Bioconductor

19 We used to call it “biohackers”… What is a hacker? One with technical adpetness who delights in solving problems and overcoming limits… Hackers can be found in all walks of life – music, art, science Hackers create things – the internet, Unix, NCBI, the Human Genome project Not what the media would call a “hacker”…

20 The hacker attitude* Hackers believe the world is full of fascinating problems waiting to be solved. Nobody should ever have to solve the same problem twice. Boredom and drudgery are evil. Freedom is good Attitude is no substitute for competence * From “The Cathedral and the Bazaar”

21 Why would I want to become a “hacker” or a “biohacker” or whatever? Spend less time brutally munging your data. Spend more time gaining biological insight. Publish faster. Begin to assemble complex and disparate data in ways not achievable by humans. Think systematically about your data. Think systemically about your research. Smugly travel easily through electronic medium. Automate your life Be cool. Get chicks! (or whomever you want)…

22 It worked for “neo”…

23 In reality, it worked for someone else too …

24 How does one become a hacker? Learn to program. The more languages, the better. (Don’t think in terms of languages… Think in terms of PROGRAMMING) Get an extensible, modifiable OS and learn to use it Learn how to access and use information Practice, practice, practice. This workshop can only show you the door. You have to walk through it.

25 So what is biohacking? Inferential analysis of disparate biological data Discovering and creating new ways of looking at biological phenomenon Creation of novel tools Decoding the nature of life (BHAG)

26 So show me the tool to find the gene… I’ll be in the lab… What if your research looks at biology from a novel angle? What if there are no tools? Where to start? We need a modular framework. Something that will scale nicely so that we can incorporate more data later. Some set of tools that integrate well, each doing one job and doing it well. We need COMBINATORIC TOOLSETS!

27 A tale of two philosophies Windows works extremely well at solving one problem at a time, if it falls within defined parameters… It does not scale well. This monolithic approach is good for small scale biology but not for complex biological analysis

28 We need a construct where we can call upon modular tools to assemble our own analysis… I need bioinformatics tools… Lots of bioinformatics tools…

29 The construct – UNIX (the other philosophy) UNIX is an operating system that provides powerful modular utilities that function together to create computer environments that can solve a wide variety of tasks. Unix Operating System –created 1960s –provides a multi-user, multitasking system It’s a server by design Networks extremely well due to ports – X11 is an example –command line based Bioinformatics relies heavily upon UNIX – and a fundamentally different philosophy: modular by its’ very nature, UNIX is scaleable, robust, and … FREE! But more than anything else, Unix has THE SHELL

30 The Unix Shell The shell is the unix user environment The shell is started automatically when you log in Everything is controlled from a shell The shell interprets commands –It’s also a programming language itself! – More than one shell can be open at a time

31 Commands to the system Specific commands used to perform functions in the shell –Ex: changing directories, copying files, mv files, sorting, cutting, pasting, etc… –Many of these can be done in XL, but… What if you need a subsequent command? ChiSquare analysis for example? What if you need to do this to 10 files? 100? 10000? Each command is itself a program and take command line arguments –The Shell is the “glue” that allows us to combinatorically daisy-chain our tools together to do a job The Shell allows us to batch these commands into a pipeline or framework for analysis

32 The Shell controls input / output STDERR Command Or Program STDIN STDOUT

33 Input / Output II STDERR Command Or Program STDIN STDOUT -Keyboard -File -Previous STDOUT -Terminal/ monitor -File -Next STDIN

34 Input / Output III Command 1 Command 2 Pipe

35 Large Pipe Command 3 Command 4 Pipe Command 1 Command 2 Pipe Can daisychain commands from every shell program

36 UNIX then… Linux? BSD? OS X? (over 360 distributions according to

37 How can I get *nix to use? Linux is open source –Available for a variety of platforms BSD is likewise open source –Forms the basis of Mac OS X, and many MSWin utilities There are live distributions as well –Example: Bioknoppix - Bioknoppix is a customized distribution of Knoppix Linux Live CD. With this distribution you just boot from the CD and you have a fully functional Linux OS distribution with open source bioinformatics (sic) applications. Beside using some RAM, Bioknoppix doesn't touch the host computer.

38 What about administrating the system? I heard it’s hard!

39 Package managers Most modern distributions have a package manager –Handles installation –Handles dependencies –Handles conflicts –Packages are written in such a way as to ensure that they do not interfere with other parts of the OS install With BioKnoppix, you won’t really need one With Debian, there is aptitude, and synaptic There are a wealth of bioinformatics tools packaged for use with package managers We’ll be exploring these as we go along…

40 For our Apple brethren…

41 There is fink Mac OS X forms a natural basis for a end user bioinformatics analysis station It’s UNIX underneath! The GUI is advanced It’s easy to administrate Finks installs into its own protected directory /sw Easy to remove if things go south…

42 What is fink? Fink is a distribution of Unix Open Source software for Mac OS X and Darwin. –It brings a wide range of free command-line and graphical software developed for Linux and similar operating systems to your Mac. Installation is accomplished via a tarball. –After that, it’s simple command line- interaction (based upon the debian model, which I’ll show in class) guide/install.php?phpLang=en guide/install.php?phpLang=en

43 For our MS brethren… Welcome to Earth A subsidiary of Microsoft

44 There is cygwin Shell utilities written as windows executables Creates its own protected / filesystem Problems with networking No real package manager beyond the shell utils Can be problematic to install packages with deep *nix library dependencies Created / maintained by RedHat developers

45 But mainly have remote access to a real *nix machine

46 Configure Putty

47 SSH Option

48 We’ll be using… BioKnoppix Beta 0.2.1 (but the Knoppix part is 3.3…) This distribution is included in your folder Debian stable 3.1 (“Sarge”) install – which I’ll do in class – will be our main server. We’ll call it “subi” ( for SUmmer BIonformatics. The text has details about the use of knoppix Let’s take a look …

49 The shell, files, directories, commands, and editors

50 File System visualize the Unix file system as an upside down tree. At the very top of the tree is the root directory, named "/".

51 Common filesystem locations / Root directory of the file system. /bin/ User utilities fundamental to both single- user and multi-user environments. /boot/ Programs and configuration files used during operating system bootstrap. /boot/defaults/ Default bootstrapping configuration files; see loader.conf(5).loader.conf(5) /dev/ Device nodes; see intro(4).intro(4) /etc/ System configuration files and scripts. /etc/defaults/ Default system configuration files; see rc(8). rc(8) /etc/mail/ Configuration files for mail transport agents such as sendmail(8).sendmail(8) /etc/namedb/named configuration files; see named(8).named(8) /etc/periodic/ Scripts that are run daily, weekly, and monthly, via cron(8); see periodic(8).cron(8) periodic(8) /etc/ppp/ppp configuration files; see ppp(8).ppp(8) /mnt/ Empty directory commonly used by system administrators as a temporary mount point. /proc/ Process file system; see procfs(5), mount_procfs(8).procfs(5) mount_procfs(8) /rescue/ Statically linked programs for emergency recovery; see rescue(8).rescue(8) /root/ Home directory for the root account. /sbin/ System programs and administration utilities fundamental to both single- user and multi-user environments. /stand/ Programs used in a standalone environment. /tmp/ Temporary files, usually a mfs(8) memory- based file system (the contents of /tmp are usually NOT preserved across a system reboot).mfs(8) /usr/ The majority of user utilities and applications. /usr/bin/ Common utilities, programming tools, and applications. /usr/include/ Standard C include files. /usr/lib/ Archive libraries. /usr/libdata/ Miscellaneous utility data files. /usr/libexec/ System daemons & system utilities (executed by other programs). /usr/local/ Local executables, libraries, etc. Also used as the default destination for the FreeBSD ports framework. Within /usr/local, the general layout sketched out by hier(7) for /usr should be used. Exceptions are the man directory, which is directly under /usr/local rather than under /usr/local/share, and the ports documentation is in share/doc/port.hier(7) /usr/obj/ Architecture-specific target tree produced by building the /usr/src tree. /usr/ports The FreeBSD Ports Collection (optional). /usr/sbin/ System daemons & system utilities (executed by users). /usr/share/ Architecture-independent files. /usr/src/ BSD and/or local source files. /usr/X11R6/ X11R6 distribution executables, libraries, etc (optional). /var/ Multi-purpose log, temporary, transient, and spool files. /var/log/ Miscellaneous system log files. /var/mail/ User mailbox files. /var/spool/ Miscellaneous printer and mail system spooling directories. /var/tmp/ Temporary files that are kept between system reboots. /var/yp NIS maps.

52 Types Files ordinary files – text files –data files –command text files (shell scripts), –executable files (binaries); directories; links special device files (physical hardware) In unix, everything is a file… and every file is a device… including the display – which is a port …

53 Directories All directories are subdirectories of the root directory Every directory can contain files or subdirectories Every directory can contain a device. Which is a file. Which really means that from anyplace in the filestructure hierarchy, you can pipe IO to any other place (device… err, file…)

54 Relevant Terminology Path File permission Home directory Current working directory Account Login Name / Username Password Root

55 Logging Into Machine Red Hat Linux release 9 Kernel 2.4.18-14 on an i686 localhost login:

56 The Unix Shell When you type commands you are communicating with the shell The shell is started automatically when you log in Everything is controlled from a shell More than one shell can be open at a time

57 Commands Specific commands used to perform functions in the shell Ex: changing directories, copying files, mv files,etc… Each command is itself a program and take command line arguments For help on a specific command type: man command

58 ls pwd “returns current working dir path” ls “view contents of directory” ls “lists all files (except hidden files)” ls –A “all files INCLUDING hidden files” ls -lt “lists all files in descending time ls –1 “what does this do?” man ls ls *.CEL wildcards can be used

59 cd cd “change directory” cd “changes to user’s home directory” –‘home directory’ –top of users dir tree cd some_dir “moves you to some_dir” cd ~ “moves you to your home directory” cd../.. “moves you two directories up” Cd – “returns you to previous working dir” mkdir – creates a new directory with default permissions.

60 more / less More “view contents of a file” –Use return or space to move through file –Use b to go backwards –ASCII only -> dos2unix command Less “view contents of a file” –Use page up and page down to scrolol –Does not buffer whole file man more“less is more!!” man less

61 grep Search contents of a file or directory of files –“Get Regex” – uses regular expressions we learned –File wildcards can be used like with ls grep 1sq ~/DATA/*.CEL -> array type used

62 rm rm “remove a file or directory” rm –R “remove all subdirectories” rm –f “dangerous, forces, no prompt” man rm HOW DO YOU UNDELETE???

63 UNDELETE THERE IS NO UNDELETE (no trash, no recycle bin to open / browse) Be careful what you do –But, that’s why there are permissions!!! –Also a reason for *nix stability

64 An Example ls –l output: Unix Permissions Permissions listings File permissions prevent users from deleting or tampering others files

65 chmod chmod “change file permissions” chmod 777 “change permissions to 777” chmod –R 775 “change recursively” man chmod

66 Permissions Explained --- --- --- you group world --- READ WRITE EXECUTE rwx rwx rwx Binary 421 421 421 = 777 rw- r– r-- 6 44

67 cp cp “copy from x to y” cp /home/igert/bin/a /home/igert cp –R directory /folder/new_dir man cp cd /home/igert/temp cp a.. cp /home/igert/temp/a ~

68 Process Control, I/O Redirection & Pipes

69 Overview Unix provides powerful features for: –Managing your jobs (process control) –Redirecting standard input and standard output –Reading and writing files –This is the ‘power of the shell’

70 Input / Output STDERR Command Or Program STDIN STDOUT

71 Input / Output II STDERR Command Or Program STDIN STDOUT -Keyboard -File -Previous STDOUT -Terminal/ monitor -File -Next STDIN

72 Input / Output III Command 1 Command 2 Pipe

73 Large Pipe Command 3 Command 4 Pipe Command 1 Command 2 Pipe Can daisychain commands from every shell program

74 Example Command Or Program STDIN STDOUT echo “Hello Genome Hacker!”

75 Example (details) ECHO “Hello Genome Hacker!” Hello Genome Hacker! echo “Hello Genome Hacker!”

76 What can we pipe to? Many useful shell commands exist – use apropos to find awk, sed, perl –e, wc, diff, cut, paste, sort, uniq… just to name a few What do these do? Try man ‘command’ (as: man paste)

77 AWK is your pre-perl friend Use to print a subset of fields Default field delimiter is “ “ (white space) Useful for grabbing a subset of fields Useful for rearranging fields field1 filed2 field3 field4... $1 $2 $3 $4....

78 Using AWK | awk –F” “ ‘{print $1}’ | awk –F” “ ‘{print $1” “$2}’ | awk –F” “ ‘{print $1”\t”$2}’ \t = TAB \n = newline pipe

79 Example of a pipe Command 1 (ECHO) Command 2 (AWK} Pipe echo “Hello Genome Hacker!” | awk ‘{print $3”\t”$2”\t”$1}’ “Hello Genome Hacker!” Hacker! Genome Hello

80 Example: redirecting STDOUT Command Or Program STDIN STDOUT echo “Hello Genome Hacker!” > output_file more output_file OUTPUT_FILE “redirection operator”

81 Overwrite versus Append > OVERWRITE – delete and replace >> APPEND – add to end of existing file

82 Example: microarray data tracking grep 1sq ~/DATA/*.CEL (gives array info) grep 1sq ~/DATA/*.CEL | awk ‘{print $12}’ gives array type only grep 1sq ~/DATA/*.CEL | awk ‘{print $12}’ > arrayTypes.txt (store results in file) ls ~/DATA/*.DAT | wc (gives a count)

83 Process Control Each specific job / command is called a process Each process runs in a shell –BEFORE: prompt available –DURING: prompt NOT available –AFTER: prompt available

84 Two Ways to monitor Processes “top” –Lists all jobs –Uses a table format –Dynamically changes “ps” –man ps –static content –Command options

85 Top output

86 Background / Foreground Commands running in foreground prevent prompt from being used until command completes Commands can also run in BACKGROUND “Backgrounded” commands DO NOT AFFECT the prompt

87 Two Ways to Background jobs “&” –Running a command with “&” automacically sends it to the background –Backgrounded commands return the prompt “bg” –Once a command is run from the prompt –Stop the command –Then background it Starts the command again Returns the prompt for use

88 Creating Our Own Commands Use programming language to create the new command We will use perl We’ll start USING OUR ENVIRONMENT (*NIX) NEXT WEEK!

89 Homework Set 1 What is the purpose of a pipe? What does the pipe do? What symbol is used for pipe? How are commands put in background? Why would you want to background? What is the top command? Why is it useful? Submit one question about the *NIX environment to the bioinformatics mailing list ANSWER one question from the bioinformatics mailing list! (estimated time: 10 – 15 minutes)

90 Homework Problem 2 Create a two command pipe What does it do What are the inputs and outputs for each command? Can you extend it to three commands? How about four? (command hints: echo, grep, awk, wc) Redirect output to a file Run it a second time, and redirect (append) this output to previous output (estimated time: 15 to 30 minutes)

Download ppt "Welcome to the UCLA – IGERT 2005 Summer Bioinformatics Workshop IGERT – Sponsored Bioinformatics Workshop Series Michael Janis and Max Kopelevich, Ph.D."

Similar presentations

Ads by Google