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 …

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 …

[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 …

Local reliability measures from sets of co-optimal multiple sequence alignments

G Landan, D Graur - Biocomputing 2008, 2008 - World Scientific
The question of multiple sequence alignment quality has received much attention from
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

D Chivian, D Baker - Nucleic acids research, 2006 - academic.oup.com
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 …

Enumerate lasso solutions for feature selection

S Hara, T Maehara - Proceedings of the AAAI Conference on Artificial …, 2017 - ojs.aaai.org
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 …

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 …

[PDF][PDF] HMM sampling and applications to gene finding and alternative splicing

SL Cawley, L Pachter - Bioinformatics, 2003 - authors.library.caltech.edu
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 …

-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 …

Optimization algorithms for functional deimmunization of therapeutic proteins

AS Parker, W Zheng, KE Griswold, C Bailey-Kellogg - BMC bioinformatics, 2010 - Springer
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 …