Ê Read Ñ Practical Computing for Biologists by Steven H D Haddock µ globalintertrade.co.uk

Ê Read Ñ Practical Computing for Biologists by Steven H D Haddock µ Published By Sinauer Associates, An Imprint Of Oxford University Press Increasingly, Scientists Find Themselves Facing Exponentially Larger Data Sets And Analyses Without Suitable Tools To Deal With Them Many Biologists End Up Using Spreadsheet Programs For Most Of Their Data Processing Tasks And Spend Hours Clicking Around Or Copying And Pasting, And Then Repeating The Process For Other Data Files Practical Computing for Biologists Shows You How To Use Many Freely Available Computing Tools To Work Powerfully And Effectively The Book Was Born Out Of The Authors Own Experience In Developing Tools For Their Research And Helping Other Biologists With Their Computational Problems Although Many Of The Techniques Are Relevant To Molecular Bioinformatics, The Motivation For The Book Is Much Broader, Focusing On Topics And Techniques That Are Applicable To A Range Of Scientific Endeavors Twenty Two Chapters Organized Into Six Parts Address These Topics And See Contents Searching With Regular Expressions The Unix Command Line Python Programming And Debugging Creating And Editing Graphics Databases Performing Analyses On Remote Servers Working With Electronics While Most Of The Concepts And Examples Apply To Any Operating System, The Main Narrative Focuses On Mac OS X Where There Are Differences For Windows And Linux Users, Parallel Instructions Are Provided In The Margin And In An Appendix The Book Is Designed To Be Used As A Self Guided Resource For Researchers, A Companion Book In A Course, Or As A Primary Textbook Practical Computing for Biologists Will Free You From The Most Frustrating And Time Consuming Aspects Of Data Processing So You Can Focus On The Pleasures Of Scientific Inquiry This is a great introductory book to programming and computing As promised in the title, it is focused on practical aspects of computing and make extensive use of examples to help the reader understand how to solve common problems It is written in a clear and direct way that makes it an enjoyable read Another salient feature is that, in spite of being an introductory book, it covers a wide range of techniques and programming tools I found the appendices very useful as quick reference guides In summary, a great book for students and researchers with beginner intermediate programming knowledge who need computational solutions to problems commonly found in biosciences.

Update THIS BOOK MADE ME SHINE One of the exercises in the book involves using building a program using regular expressions to modify the format of lat lon data into a.
kml readable format.
Guess what my employer asked me to do today Yup, manually reformat hundreds of lines of lat lon data.
It took me 20 minutes instead of tedious hours, and I was paid for completion of the job, not the hours.
In science, it is all about efficiency and building a better mouse trap This book teaches you all the great shortcuts to stand out in a competitive field of study.
THANK YOU PCfB My Background I am a biochemistry and molecular biology graduate who is learning BioPy and R to aid in my ability to process and understand large data sets I ve been reading books on python and bioinformatics, but they are often either too cryptic or too basic Until I found PCfB, I couldn t find a book that got to the real meat of bioinformatics and biological data processing management.
Review If you are pursuing higher education in science, buy this book Seriously, put this book into your cart now.
Now that advanced computer skills are in great demand by employers in scientific disciplines, I really think a course involving this material should be mandatory in any undergraduate chemistry or biology department But it isn t, so buy this book and catch up This is the information they should have taught you in college.
PCfB is probably best for people who have a basic understanding of computers The book is neither written for experts nor for novices and fits well at the college level It provides sufficient detail and complex examples without interjecting excess esoteric programming theory.
The only downside is that the book is catered towards OSX UNIX, but to be fair, the authors include how to run commands on windows and linux.
This is an invaluable text for anyone looking to demystified computing While the examples tend to be biological, for instance dealing with DNA sequences or specimen collection data, I think this textbook will be useful to readers in many different fields of science In fact, a lot of the text focuses on data acquisition, organization, and management, and is applicable to readers from a variety of fields.
This book was recommended to me by a number of biology graduate students that used in it seminar style courses on bioinformatics I had no previous experience with programming and was pretty intimidated by programming and computing in general However, this book helped me get over that fear quickly It builds a strong foundation in a variety of computational methods particularly programming in python With this foundation I was able to take advantage of a lot of online resources that were previously beyond my understanding In this book, I quickly learned a number of basic strategies for data collection and analysis that would have saved me weeks of work had I known how to employ them earlier in my graduate career I m glad I know them now and I look forward to building on the skills I developed with this book