TL;DR: A long-read assembler wtdbg2 is developed that is 2–17 times as fast as published tools while achieving comparable contiguity and accuracy, and is several times faster, especially for large genomes.
Abstract: Existing long-read assemblers require thousands of central processing unit hours to assemble a human genome and are being outpaced by sequencing technologies in terms of both throughput and cost. We developed a long-read assembler wtdbg2 (https://github.com/ruanjue/wtdbg2) that is 2–17 times as fast as published tools while achieving comparable contiguity and accuracy. It paves the way for population-scale long-read assembly in future. Wtdbg2 assembles genomes with comparable contiguity and accuracy to existing tools using long-read sequencing data, and is several times faster, especially for large genomes.
TL;DR: The introduction of positive incentives completely wiped out the previously observed performance differences, revealing an equivalent amount of learning among children in the model-rewarded, model-punished, and the no-consequences conditions.
Abstract: The acquisition of imitative responses under the latter conditions appears to be accounted for more adequately by a contiguity theory of observational learning. Some suggestive evidence that the acquisition of matching responses may take place through contiguity, whereas reinforcements administered to a model exert their major influence on the performance of imitatively learned responses, is provided in a study in which models were rewarded or punished for exhibiting aggressive behavior. The number of different physical and verbal imitative responses emitted spontaneously by the children constituted the performance measure. It is evident from the differences reported separately for boys and girls, that the significant effect of the model's reinforcement contingencies is based predominantly on differences among the girls' subgroups. It is evident, however, that contemporaneous reinforcements are unnecessary for the acquisition of new matching responses.
TL;DR: This work demonstrates that TCM can simultaneously explain recency and contiguity effects across time scales, and provides a principled explanation of the widespread advantage for forward recalls in free and serial recall.
TL;DR: Alignment-free metrics are furthering their usage as a scale-independent methodology that is capable of recognizing homology when loss of contiguity is beyond the possibility of alignment.
Abstract: Motivation: Genetic recombination and, in particular, genetic shuffling are at odds with sequence comparison by alignment, which assumes conservation of contiguity between homologous segments. A variety of theoretical foundations are being used to derive alignment-free methods that overcome this limitation. The formulation of alternative metrics for dissimilarity between sequences and their algorithmic implementations are reviewed. Results: The overwhelming majority of work on alignmentfree sequence has taken place in the past two decades, with most reports published in the past 5 years. Two main categories of methods have been proposed—methods based on word (oligomer) frequency, and methods that do not require resolving the sequence with fixed word length segments. The first category is based on the statistics of word frequency, on the distances defined in a Cartesian space defined by the frequency vectors, and on the information content of frequency distribution. The second category includes the use of Kolmogorov complexity and Chaos Theory. Despite their low visibility, alignment-free metrics are in fact already widely used as pre-selection filters for alignment-based querying of large applications. Recent work is furthering their usage as a scale-independent methodology that is capable of recognizing homology when loss of contiguity is beyond the possibility of alignment. Availability: Most of the alignment-free algorithms reviewed were implemented in MATLAB code and are available at http://bioinformatics.musc.edu/resources.html. Contact: almeidaj@musc.edu; svinga@itqb.unl.pt
TL;DR: If the correlation-based law of effect is accepted, it favors measures and units of analysis that transcend momentary events, extending through time, which allow redefinition of reinforcement and punishment, and clarification of their relation to discriminative stimuli.
Abstract: It is commonly understood that the interactions between an organism and its environment constitute a feedback system. This implies that instrumental behavior should be viewed as a continuous exchange between the organism and the environment. It follows that orderly relations between behavior and environment should emerge at the level of aggregate flow in time, rather than momentary events. These notions require a simple, but fundamental, change in the law of effect: from a law based on contiguity of events to a law based on correlation between events. Much recent research and argument favors such a change. If the correlation-based law of effect is accepted, it favors measures and units of analysis that transcend momentary events, extending through time. One can measure all consequences on a common scale, called value. One can define a unit of analysis called the behavioral situation, which circumscribes a set of values. These concepts allow redefinition of reinforcement and punishment, and clarification of their relation to discriminative stimuli.