Results 11 to 20 of about 1,321,155 (184)

Estimating divergence times from DNA sequences [PDF]

open access: yesGenetics, 2020
ABSTRACTThe patterns of genetic variation within and among individuals and populations can be used to make inferences about the evolutionary forces that generated those patterns. Numerous population genetic approaches have been developed in order to infer evolutionary history. Here, we present the ‘Two-Two (TT)’ and the ‘Two-Two-outgroup (TTo)’ methods;
Per Sjödin   +2 more
openaire   +5 more sources

Evaluating automatically estimated chord sequences [PDF]

open access: yes2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Evaluating Automatically Estimated Chord ...
Pauwels, Johan, Peeters, Geoffroy
openaire   +2 more sources

The accuracy of DNA sequences: Estimating sequence quality [PDF]

open access: yesGenomics, 1992
In this paper we describe a method for the statistical reconstruction of a large DNA sequence from a set of sequenced fragments. We assume that the fragments have been assembled and address the problem of determining the degree to which the reconstructed sequence is free from errors, i.e., its accuracy.
G A, Churchill, M S, Waterman
openaire   +2 more sources

Relationship estimation from whole-genome sequence data. [PDF]

open access: yesPLoS Genetics, 2014
The determination of the relationship between a pair of individuals is a fundamental application of genetics. Previously, we and others have demonstrated that identity-by-descent (IBD) information generated from high-density single-nucleotide ...
Hong Li   +12 more
doaj   +1 more source

Blind Estimation of Spreading Code Sequence of QPSK-DSSS Signal Based on Fast-ICA

open access: yesInformation, 2023
Most of the existing estimation methods of spreading code sequence are not suitable for the QPSK-DSSS. We propose a spreading code sequence estimation method based on fast independent component analysis (Fast-ICA). It mainly includes signal preprocessing,
Lu Xu, Xiaxia Liu, Yijia Zhang
doaj   +1 more source

Blind Estimation of Direct Sequence Spread Spectrum Signal Based on MCMC-UKF [PDF]

open access: yesJisuanji gongcheng, 2019
Aiming at the problem of spreading code and information sequence blind estimation for long code Direct Sequence Spread Spectrum(DSSS) signal,this paper proposes a joint estimation algorithm based on overlapping segment Markov Chain Monte Carlo-Unscented ...
MA Chao, ZHANG Limin
doaj   +1 more source

Risk-sensitive maximum likelihood sequence estimation [PDF]

open access: yesIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1996
Abstract In this paper, we consider risk-sensitive Maximum Likelihood sequence estimation for hidden Markov models with finite-discrete states. An algorithm is proposed which is essentially a risk-sensitive variation of the Viterbi algorithm. Simulation studies show that the risk-sensitive algorithm is more robust to uncertainties in the transition ...
Elliott, R. J.   +2 more
openaire   +2 more sources

Phylogeny Estimation Given Sequence Length Heterogeneity [PDF]

open access: yesSystematic Biology, 2020
AbstractPhylogeny estimation is a major step in many biological studies, and has many well known challenges. With the dropping cost of sequencing technologies, biologists now have increasingly large datasets available for use in phylogeny estimation.
Smirnov, Vladimir, Warnow, Tandy
openaire   +2 more sources

Channel estimation and symbol detection for block transmission using data-dependent superimposed training [PDF]

open access: yes, 2005
We address the problem of frequency-selective channel estimation and symbol detection using superimposed training. The superimposed training consists of the sum of a known sequence and a data-dependent sequence that is unknown to the receiver. The data-
Alameda-Hernandez, E.   +3 more
core   +2 more sources

DNA Sequence Confidence Estimation

open access: yesGenomics, 1994
A significant bottleneck in the current DNA sequencing process is the manual editing of trace data generated by automated DNA sequencers. This step is used to correct base calls and to associate to each base call a confidence level. The confidence levels are used in the assembly process to determine overlaps and to resolve discrepancies in determining ...
R J, Lipshutz   +4 more
openaire   +2 more sources

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