Protein Function Prediction for Omics Era - Image 1

£89.00

Springer Protein Function Prediction for Omics Era

Name: Protein Function Prediction for Omics Era
Brand: Springer
Price: 89.0 GBP
Availability: InStock

General Medical Issues

This is the usual price. Wait for it to drop, or tell us your number.

£89 today · usual range £0–£0 · best ever £83

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 639 days • 639 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 639 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £98-103 (193 days, 30.2%)

Price range: £83 - £108

Price levels: 5 price ranges over 639 days

Description

Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred From the Back Cover Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9400708807
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues
Domain: Amazon UK
Release Date: 20 April 2011
Listed Since: 10 December 2010

Barcode

No barcode data available

Springer Protein Function Prediction for Omics Era

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Protein Function Prediction for Omics Era

Bacterial Molecular Networks: Methods and Protocols: 804 (Methods in Molecular Biology, 804)

Systems Medicine: 1386 (Methods in Molecular Biology, 1386)

Humana Bioinformatics for Omics Data: Methods and Protocols 719

The Ten Most Wanted Solutions in Protein Bioinformatics (Chapman & Hall/CRC Computational Biology Series)

Computational Molecular Bioscience: Concepts

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Advance in Structural Bioinformatics: 827 (Advances in Experimental Medicine and Biology, 827)

Microbial Gene Essentiality: Protocols and Bioinformatics: 416 (Methods in Molecular Biology, 416)

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference: 1005 (Advances in Intelligent Systems and Computing, 1005)

Computational Chemogenomics: 1825 (Methods in Molecular Biology, 1825)

Computational Prediction of Protein Complexes from Protein Interaction Networks (ACM Books)

Chemoinformatics and Computational Chemical Biology: 672 (Methods in Molecular Biology, 672)

Humana Bioinformatics Methods in Clinical Research 593 Book

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics

Plant Bioinformatics: Methods and Protocols: 1374 (Methods in Molecular Biology, 1374)

Computational Methods in Protein Evolution: 1851 (Methods in Molecular Biology, 1851)

Modeling Peptide-Protein Interactions: Methods and Protocols: 1561 (Methods in Molecular Biology, 1561)

Methodologies of Multi-Omics Data Integration and Data Mining: Techniques and Applications: 19 (Translational Bioinformatics, 19)

Novel Approaches for Drug Delivery (Advances in Medical Technologies and Clinical Practice)

Integrative Omics: Concept, Methodology, and Application

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

Bioinformatics Methods and Protocols: 132 (Methods in Molecular Biology, 132)