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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhexue Wei Daming Zhu |
| Copyright Year | 2012 |
| Abstract | De novo peptide sequencing is an important method for peptide sequencing and protein identification. It can be transformed into a special case of paths avoiding forbidden pairs problem (PAFP). General PAFP is NP-complete. The definition of PAFP is the following: Given a directed a cyclic graph $G=(V, E)$, two distinguished vertices source $s$, sink $t \in V$, a set of forbidden pairs $F \subset V \times V $, and an edge weight function $w : E \to R$, asking for a maximum weight path from $s$ to $t$ passing at most one vertex from each forbidden pair. In the process of transformation from de novo peptide sequencing to PAFP, forbidden pairs have nested structure. We give a vertex contraction algorithm which is designed based on nested structure of forbidden pairs to solve paths avoiding forbidden pairs problem. The time complexity of vertex contraction algorithm is $O(|V|^3)$. |
| Starting Page | 48 |
| Ending Page | 52 |
| File Size | 197946 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467313650 |
| DOI | 10.1109/CSO.2012.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Greedy algorithms forbidden pairs Peptides de novo peptide sequencing Amino acids Educational institutions vertex contraction Complexity theory Dynamic programming nested structure |
| Content Type | Text |
| Resource Type | Article |
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