Stock image for illustration purposes only - book cover, edition or condition may vary.
Sequence Data Analysis Guidebook (Methods in Molecular Biology)
N/A
€ 185.51
FREE Delivery in Ireland
Description for Sequence Data Analysis Guidebook (Methods in Molecular Biology)
Paperback. Editor(s): Swindell, Simon R. Series: Methods in Molecular Biology. Num Pages: 333 pages, biography. BIC Classification: PSF. Category: (P) Professional & Vocational. Dimension: 230 x 152 x 18. Weight in Grams: 488.
Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have become smaller and more powerful and the software has become simpler to use as it has grown in sophistication. This book reflects that change since the majority of packages described here are designed to be used on desktop computers. Computer software is now available that can run gels, collect data, and assess its accuracy. It can assemble, align, or compare ... Read more
Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have become smaller and more powerful and the software has become simpler to use as it has grown in sophistication. This book reflects that change since the majority of packages described here are designed to be used on desktop computers. Computer software is now available that can run gels, collect data, and assess its accuracy. It can assemble, align, or compare ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Humana Press
Condition
New
Series
Methods in Molecular Biology
Number of Pages
324
Place of Publication
Totowa, NJ, United States
ISBN
9781489943385
SKU
V9781489943385
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Sequence Data Analysis Guidebook (Methods in Molecular Biology)