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Near-optimal sequence alignment
M Vingron - Current Opinion in structural biology, 1996 - Elsevier
Recent advances in algorithmic techniques and statistics of sequence alignment have
helped to make near-optimal alignments an important tool in the delineation of biologically …
helped to make near-optimal alignments an important tool in the delineation of biologically …
Finding the k shortest paths
D Eppstein - SIAM Journal on computing, 1998 - SIAM
We give algorithms for finding the k shortest paths (not required to be simple) connecting a
pair of vertices in a digraph. Our algorithms output an implicit representation of these paths …
pair of vertices in a digraph. Our algorithms output an implicit representation of these paths …
[BUKU][B] Computational molecular biology: an algorithmic approach
P Pevzner - 2000 - books.google.com
In one of the first major texts in the emerging field of computational molecular biology, Pavel
Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they …
Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they …
Local reliability measures from sets of co-optimal multiple sequence alignments
The question of multiple sequence alignment quality has received much attention from
developers of alignment methods. Less forthcoming, however, are practical measures for …
developers of alignment methods. Less forthcoming, however, are practical measures for …
Homology modeling using parametric alignment ensemble generation with consensus and energy-based model selection
The accuracy of a homology model based on the structure of a distant relative or other
topologically equivalent protein is primarily limited by the quality of the alignment. Here we …
topologically equivalent protein is primarily limited by the quality of the alignment. Here we …
Enumerate lasso solutions for feature selection
We propose an algorithm for enumerating solutions to the Lasso regression problem. In
ordinary Lasso regression, one global optimum is obtained and the resulting features are …
ordinary Lasso regression, one global optimum is obtained and the resulting features are …
Near‐shortest and K‐shortest simple paths
W Matthew Carlyle… - Networks: An International …, 2005 - Wiley Online Library
We present a new algorithm for enumerating all near‐shortest simple (loopless) s‐t paths in
a graph G=(V, E) with nonnegative edge lengths. Letting n=| V| and m=| E|, the time per path …
a graph G=(V, E) with nonnegative edge lengths. Letting n=| V| and m=| E|, the time per path …
[PDF][PDF] HMM sampling and applications to gene finding and alternative splicing
The standard method of applying hidden Markov models to biological problems is to find a
Viterbi (maximal weight) path through the HMM graph. The Viterbi algorithm reduces the …
Viterbi (maximal weight) path through the HMM graph. The Viterbi algorithm reduces the …
-best enumeration
D Eppstein - arxiv preprint arxiv:1412.5075, 2014 - arxiv.org
arxiv:1412.5075v1 [cs.DS] 16 Dec 2014 Page 1 arxiv:1412.5075v1 [cs.DS] 16 Dec 2014 K-Best
Enumeration David Eppstein∗ Abstract We survey k-best enumeration problems and the …
Enumeration David Eppstein∗ Abstract We survey k-best enumeration problems and the …
Optimization algorithms for functional deimmunization of therapeutic proteins
Background To develop protein therapeutics from exogenous sources, it is necessary to
mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the …
mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the …