Your English writing platform
Discover LudwigSuggestions(1)
Exact(2)
This workflow utilizes multi-step hybrid detection and classification routine which makes use of a neural network based autopicker for initial picking and an evolutionary algorithm for pick refinement.
This workflow utilizes the XCMS Centwave algorithm for peak detection and mzMatch.R for alignment of samples, filtering, and metadata storage in peakML files.
Similar(58)
The alignment steps in this workflow utilize the SHRiMP2 [ 38] aligner to map the FASTQ sequences to miRBase precursors.
A generalized overview of the workflow utilized in these experiments is illustrated in Figure 1.
Key to this workflow is utilizing the well-established XCMS bioinformatic platform and the largest metabolite database METLIN that facilitates feature assignment and identification.
In this paper, we present a basic design and implementation of KEGGscape and an example workflow utilizing KGML files, and experimental data to create information-rich pathway visualizations for clarifying omics-scale data sets.
The metric and visualization techniques are implemented in a parametric, simulation-based workflow utilizing publicly available software tools.
Utilizing this workflow, we describe three different reader domains that can recognize combinatorial PTM patterns and enrich unique chromatin states.
Below, we describe in more details two computational workflows utilized in this study.
Both workflows utilize several KNIME nodes for handling URL based data.
Other metabolomic-based workflows utilize a univariate statistical approach and consider fold-change differences in molecular features.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com