Results 31 to 40 of about 62,783 (309)
On-line extensible bin packing with unequal bin sizes [PDF]
Discrete Mathematics & Theoretical Computer Science, 2004 Analysis of Algorithms In the extensible bin packing problem we are asked to pack a set of items into a given number of bins, each with an original size. However, the original bin sizes can be extended if necessary. The goal is to minimize the total size of the bins.
Deshi Ye, Guochuan Zhang
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Interpreting Microbial Biosynthesis in the Genomic Age: Biological and Practical Considerations
Marine Drugs, 2017 Genome mining has become an increasingly powerful, scalable, and economically accessible tool for the study of natural product biosynthesis and drug discovery.
Ian J. Miller +2 more
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Frontiers in Energy Research, 2019 Microalgal biomass is an alternative feedstock for biogas production although its C/N ratio is usually lower than optimal, therefore co-fermentation is recommended. Biogas production from photoautotrophically grown Chlorella vulgaris (C.
Roland Wirth +8 more
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Bi-Dimensional Binning for Big Genomic Datasets [PDF]
, 2017 Binning the genome is used in order to parallelize big data operations upon regions. In this extended abstract, we comparatively evaluate the performance and scalability of Spark and SciDB implementations over datasets consisting of billions of genomic ...
CATTANI, SIMONE +4 more
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Adversarial and variational autoencoders improve metagenomic binning
, 2023 Assembly of reads from metagenomic samples is a hard problem, often resulting in highlyfragmented genome assemblies. Metagenomic binning allows us to reconstruct genomes byre-grouping the sequences by their organism of origin, thus representing a crucial
Kutuzova, Svetlana +5 more
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BinSPreader: Refine binning results for fuller MAG reconstruction
iScience, 2022 Summary: Despite the recent advances in high-throughput sequencing, metagenome analysis of microbial populations still remains a challenge. In particular, the metagenome-assembled genomes (MAGs) are often fragmented due to interspecies repeats, uneven ...
Ivan Tolstoganov +4 more
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Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method
IEEE Journal of the Electron Devices SocietyThe artificial neural network (ANN)-based compact model has significant advantages over physics-based standard compact models such as BSIM-CMG because it can achieve higher accuracy over a wide range of geometric parameters.
Jinyoung Choi +6 more
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Binning long reads in metagenomics datasets using composition and coverage information
Algorithms for Molecular Biology, 2022 Background Advancements in metagenomics sequencing allow the study of microbial communities directly from their environments. Metagenomics binning is a key step in the species characterisation of microbial communities.
Anuradha Wickramarachchi, Yu Lin
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Frontiers in Plant Science, 2021 Increasing incidence of chronic diseases in the 21st century has emphasized the importance of developing crops with enhanced nutritional value. Plant-based diets are associated with reduced incidence of many chronic diseases.
Binning Wu +7 more
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Similarity-Binning Averaging: A Generalisation of Binning Calibration [PDF]
, 2009 In this paper we revisit the problem of classifier calibration, motivated by the issue that existing calibration methods ignore the problem attributes (i.e., they are univariate). We propose a new calibration method inspired in binning-based methods in which the calibrated probabilities are obtained from k instances from a dataset. Bins are constructed
Antonio Bella +3 more
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