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The L er-0 draft was generated by a combination of de novo assembly and reference-based mapping.
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Multiple drafts were generated and revised until the test writers have reached consensus on the final draft.
Using this fully computational procedure, a draft metabolic network, called the "Draft model", was generated based on the annotated genome data.
For both genomes the gene model prediction and draft annotation was generated using Prodigal [ 57].
The initial 20-item draft CASIS was generated based directly on patient actual statements.
The draft genome was generated by a hybrid assembly of Illumina and PacBio sequencing technologies to improve genome assembly.
The paired end reads were assembled by using a de novo genome assembly program Velvet version 0.7.03 (19 ), and a multicontig draft genome was generated for each sample.
A list containing the identification of all CDS with sequence differences, and those loci missing in the draft genomes was generated (see Additional file 2: Table S2, section A-E).
A draft genome sequence was generated using a random shotgun approach and paired-end Sanger sequencing.
Draft genome annotation was generated using the organelle annotation package DOGMA [ 18].
A 202-Mb draft genome assembly was generated from P. obducens using Illumina technology and mined to identify 13,483 SSR motifs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com