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This resource allows us to compare methods and to get information and experience which may help us do similar calculations.
This resource allows single-target or combinatorial genetic screens to be carried out at scale in a multiplexed or arrayed format.
This resource allows visualization of the dynamic interactions in the transcriptome, proteome, and metabolome within known molecular networks (for example, metabolic or signaling pathways).
This resource allows biologists to store, search, retrieve and display mathematical models.
This resource allows researchers to functionally annotate their data on the more recent RGSC5.0.
This resource allows us to explore the features of somatic mutations, such as hotspot-mutated amino acids in the pocket regions and their underlying mutational processes.
Similar(45)
This resource allowed us to examine a time series of multiple samples from several strains.
This resource allowed us to estimate the familial risk of cerebral palsy across a broad range of family relationships.
This resource allowed for the identification of a large number of transcripts and provides valuable information for ongoing investigations of tissue-specific and stimulus-dependant gene expression patterns.
This resource allowed us to identify candidate gene variants, SNPs in coding regions, and sex-specific gene expression, and permitted quantitative analysis of differential gene expression.
This resource allowed us to characterise the expression signatures of the main myotomal muscle fibre types and identify candidate microsatellite sequences that could be used in breeding programs.
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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