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| Language | English |
| Format | PDF (Premium Digital) |
| Ownership | Permanent download — yours forever |
Protein Function Prediction for Omics Era by Daisuke Kihara
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| ISBN 13 | 9789400799646 |
|---|---|
| ISBN 10 | 9400799640 |
| Author | Daisuke Kihara |
| Condition | New |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2014-10-16 |
| Number of pages | 310 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
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"Left Kindle behind after they removed a book I was reading mid-series. With this PDF, nobody can take it away from me. True ownership feels good."
"Was skeptical about paying $18.95 when Kindle shows $3.99, but then I did the math — Kindle Unlimited is $143/year! This is way better value long term."
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