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Here, we report the results of a performance test of the MGA applied to various types of genomic sequences, such as complete genomes, plasmids and their subsequences of various lengths, under conditions of anonymity.
Much effort of this supplement is devoted to developing predictive models for various types of genomic data, including mRNA, microRNA, and genome DNA.
In addition to similarity-based tools (e.g. BLAST [ 10], FASTA [ 11]), a number of methods are available for comparative genomics that combine various types of genomic evidence, such as protein fusion events [ 12], gene clustering on the chromosome [ 13], occurrence profiles or signatures [ 14], shared regulatory sites [ 15], which enable the so-called "gene context analysis" [ 16].
This system enables us to introduce various types of genomic modifications with near 100% editing efficiency and to introduce three mutations simultaneously.
Finally, various types of genomic variation were indexed, including SNPs and INDELs.
Summary: More and more cancer studies use next-generation sequencing (NGS) data to detect various types of genomic variation.
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My lab has been deeply involved in developing new computational methods to interpret various types of modern genomic assays and in linking these to genetic variation.
For example, various types of rare genomic changes, such as insertions and deletions (indels), intron positions and overlapping genes, have been used to address specific phylogenetic questions [ 6, 29].
This reads in GFF files of various types of protein or transcript genomic alignments and of other types of genomic features such as matches to repeat sequence libraries.
To help explore the potential biological implications of these genetic variants, software tools have been previously developed for integrating various types of information about these genomic regions from multiple data sources.
Beyond this, 'personal' genomic approaches using various types of information from whole-genome sequencing, transcriptomics, proteomics and metabolomics seek to assess disease risk and tailor therapeutics [ 27, 28].
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