Portability, Speed, and Program Maintenance
2.2.2 Rapid Prototyping
Another important benefit of using Perl for biological research is the speed with which a programmer can write a typical Perl program referred to as rapid prototyping. Many problems can be solved in far fewer lines of Perl code than in C or Java. This has been important to its success in research. In a research environment there are frequent needs for programs that do something new, that are needed only once or occasionally, or that need to be frequently modified. In Perl, you can often toss such a program off in a few minutes or a few hours work, and the research can proceed. This rapid prototyping ability is often a key consideration when choosing Perl for a job. It is common to find programmers familiar with both Perl and C who claim that Perl is five to ten times faster to program in than C. The difference can be critical in the typical understaffed research lab.2.2.3 Portability, Speed, and Program Maintenance
Portability means how many types of computer systems the language can run on. Perl has no problems there, as its available for virtually all modern computers found in biology labs. If you write a DNA analyzer in Perl on your Mac, then move it to a Windows computer, youll find it usually runs as is or with only minor retrofitting. Speed means the speed with which the program runs. Here Perl is pretty good but not the best. For speed of execution, the usual language of choice is C. A program written in C typically runs two or more times faster than the comparable Perl program. There are ways of speeding up Perl with compilers and such, but still... . In many organizations, programs are first written in Perl, and then only the programs that absolutely need to have maximum speed are rewritten in C. The fact is, maximum speed is only occasionally an important consideration. Programming is relatively expensive to do: it takes time, and skilled personnel. Its labor- intensive. On the other hand, computers and computer time often called CPU time after the central processing unit are relatively inexpensive. Most desktop computers sit idle for a large part of the day, anyway. So its usually best to let the computer do the work, and save the programmers time. Unless your program absolutely must run in say, four seconds instead of ten seconds, youre okay with Perl. Program maintenance is the general activity of keeping everything working: such IT-SC 20 activities as adding features to a program, extending it to handle more types of input, porting it to run on other computer systems, fixing bugs, and so forth. Programs take a certain amount of time, effort and cost to write, but successful programs end up costing more to maintain than they did to write in the first place. Its important to write in a language, and in a style, that makes maintenance relatively easy, and Perl allows you to do so. You can write obscure, hard-to-maintain code in Perl, as in other languages, but Ill give you pointers on how to make your code easy for other programmers to read.2.2.4 Versions of Perl
Parts
» OReilly.Beginning.Perl For Bioinformatics
» The Organization of Proteins
» In Silico Biology and Computer Science
» A Low and Long Learning Curve
» Ease of Programming Rapid Prototyping
» Portability, Speed, and Program Maintenance
» Perl May Already Be Installed No Internet Access?
» Downloading Binary Versus Source Code
» Unix and Linux Macintosh Windows
» Unix or Linux How to Run Perl Programs
» Text Editors Getting Started with Perl
» Finding Help Getting Started with Perl
» Saves and Backups Error Messages
» Individual Approaches to Programming Programming Strategies
» The Design Phase The Programming Process
» Algorithms The Programming Process
» Pseudocode and Code Comments
» Representing Sequence Data Sequences and Strings
» Control Flow Comments Revisited Command Interpretation
» Assignment Print Exit Statements
» Concatenating DNA Fragments Sequences and Strings
» Using the Perl Documentation
» Calculating the Reverse Complement in Perl
» Proteins, Files, and Arrays Reading Proteins in Files
» Arrays Sequences and Strings
» Scalar and List Context Exercises
» Conditional tests and matching braces
» Code Layout Motifs and Loops
» Getting User Input from the Keyboard Turning Arrays into Scalars with join
» Regular expressions and character classes
» Counting Nucleotides Motifs and Loops
» Exploding Strings into Arrays
» Operating on Strings Motifs and Loops
» Writing to Files Motifs and Loops
» Advantages of Subroutines Subroutines
» Arguments Scoping and Subroutines
» Scoping Scoping and Subroutines
» Command-Line Arguments and Arrays
» Subroutines: Pass by Value Subroutines: Pass by Reference
» Modules and Libraries of Subroutines
» use warnings; and use strict; Fixing Bugs with Comments and Print Statements
» How to start and stop the debugger Debugger command summary
» Stepping through statements with the debugger
» Setting breakpoints The Perl Debugger
» Fixing another bug use warnings; and use strict; redux
» Exercises Subroutines and Bugs
» Random Number Generators Mutations and Randomization
» Seeding the Random Number Generator Control Flow
» Making a Sentence Randomly Selecting an Element of an Array
» Formatting A Program Using Randomization
» Select a random position in a string Choose a random nucleotide
» Improving the Design Combining the Subroutines to Simulate Mutation
» Exercises Mutations and Randomization
» A Gene Expression Database Gene Expression Data Using Unsorted Arrays
» Gene Expression Data Using Sorted Arrays and Binary Search
» Gene Expression Data Using Hashes
» Translating Codons to Amino Acids
» The Redundancy of the Genetic Code
» Using Hashes for the Genetic Code
» Translating DNA into Proteins
» FASTA Format Reading DNA from Files in FASTA Format
» A Design to Read FASTA Files
» A Subroutine to Read FASTA Files
» Writing Formatted Sequence Data
» Regular Expressions Restriction Maps and Regular Expressions
» Background Planning the Program
» Restriction Enzyme Data Restriction Maps and Restriction Enzymes
» Logical Operators and the Range Operator
» Finding the Restriction Sites
» Exercises Restriction Maps and Regular Expressions
» Using Arrays Separating Sequence and Annotation
» Pattern modifiers Examples of pattern modifiers
» Separating annotations from sequence
» Using Arrays Parsing Annotations
» When to Use Regular Expressions
» Main Program Parsing Annotations
» Parsing Annotations at the Top Level
» Features Parsing the FEATURES Table
» Parsing Parsing the FEATURES Table
» DBM Essentials Indexing GenBank with DBM
» Overview of PDB Protein Data Bank
» Opening Directories Files and Folders
» Processing Many Files Files and Folders
» Extracting Primary Sequence Parsing PDB Files
» Finding Atomic Coordinates Parsing PDB Files
» The Stride Secondary Structure Predictor
» Parsing Stride Output Controlling Other Programs
» String Matching and Homology
» Extracting Annotation and Alignments
» Parsing BLAST Alignments Parsing BLAST Output
» The printf Function Presenting Data
» here Documents format and write
» Bioperl Tutorial Script Bioperl
» The Art of Program Design Web Programming
» Algorithms and Sequence Alignment Object-Oriented Programming Complex Data Structures
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