Results 1 to 10 of about 5,369 (251)
Improved metagenomic analysis with Kraken 2 [PDF]
Although Kraken’s k-mer-based approach provides a fast taxonomic classification of metagenomic sequence data, its large memory requirements can be limiting for some applications.
Derrick E Wood+2 more
exaly +11 more sources
Current Status and On-Going Development of VTT’s Kraken Core Physics Computational Framework [PDF]
The Kraken computational framework is a new modular calculation system designed for coupled core physics calculations. The development started at VTT Technical Research Centre of Finland in 2017, with the aim to replace VTT’s outdated legacy codes used ...
Eric Dorval, Jaakko Leppänen
exaly +5 more sources
Kraken reveals itself – the merger history of the Milky Way reconstructed with the E-MOSAICS simulations [PDF]
Globular clusters (GCs) formed when the Milky Way experienced a phase of rapid assembly. We use the wealth of information contained in the Galactic GC population to quantify the properties of the satellite galaxies from which the Milky Way assembled. To achieve this, we train an artificial neural network on the E-MOSAICS cosmological simulations of the
J M Diederik Kruijssen+2 more
exaly +6 more sources
You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine [PDF]
Layout Analysis (the identification of zones and their classification) is the first step along line segmentation in Optical Character Recognition and similar tasks.
Thibault Clérice
doaj +4 more sources
KATKA: A KRAKEN-like tool with $k$ given at query time [PDF]
We describe a new tool, KATKA, that stores a phylogenetic tree $T$ such that later, given a pattern $P [1..m]$ and an integer $k$, it can quickly return the root of the smallest subtree of $T$ containing all the genomes in which the $k$-mer $P [i..i + k - 1]$ occurs, for $1 \leq i \leq m - k + 1$.
Travis Gagie+2 more
arxiv +5 more sources
Ultrafast and accurate 16S rRNA microbial community analysis using Kraken 2
Background For decades, 16S ribosomal RNA sequencing has been the primary means for identifying the bacterial species present in a sample with unknown composition.
Jennifer Lu, Steven L Salzberg
exaly +4 more sources
The Kraken: when myth encounters science [PDF]
Hundreds of years ago, sailors were terrified by the Kraken, a dreadful sea monster capable of sinking ships and with a taste for human flesh. Today we know the legends of this monster were based on sightings of giant squids.
Rodrigo B. Salvador, Barbara M. Tomotani
doaj +13 more sources
The Keck science community is entering an era of unprecedented change. Powerful new instrument like ZTF, JWST, LSST, and the ELTs will catalyze this change, and we must be ready to take full advantage to maintain our position of scientific leadership.
Benjamin A. Mazin+14 more
arxiv +5 more sources
LEVIATHAN AND KRAKEN: STATES, CORPORATIONS, AND POLITICAL ECONOMY [PDF]
ABSTRACTIn our politico‐philosophical bestiary, no monster has historically been more prominent than the Leviathan, the whale of the Book of Job, transformed by Hobbes, which has long been ubiquitous as a metaphor or as a signifier in all intellectual traditions touching upon the political.
Robert Fredona, Sophus A. Reinert
exaly +4 more sources
Metagenome analysis using the Kraken software suite
Metagenomic experiments expose the wide range of microscopic organisms in any microbial environment through high-throughput DNA sequencing. The computational analysis of the sequencing data is critical for the accurate and complete characterization of the microbial community. To facilitate efficient and reproducible metagenomic analysis, we introduce a
Natalia Rincon+2 more
exaly +4 more sources