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Assessment of genome assembly quality and rDNA analysis: The in silico evaluation of assemblies was performed using computing genome assembly likelihoods (CGAL) (version 0.9.6) and REAPR (version 1.0.16) tools, rDNA operon prediction was performed using RNAmmer software (version 2.3.2) and alignments were created using Geneious software (version 6.1.5) (Auckland, New Zealand).
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This software tool helps in the evaluation of assembly processes.
A critical review of various approaches in modeling and evaluation of assembly systems reported in the recently published literature, with a special emphasis on the buffer allocation problems, is given.
A systematic evaluation of assembly patterns can yield insights into the extent to which such patterns (and their underlying processes) are likely to influence effective network design.
Evaluation of assembly performance is a challenging work, especially in non-model organisms.
We present an evaluation of assembly of simulated short-read metagenomic samples using a state-of-art de Bruijn graph based assembler.
GAGE [ 6] and the Assemblathon [ 7] projects provided gold-standard data sets and an environment for peer evaluation of assembly methods.
The evaluation of assembly on different k-mers was done on the basis of chosen parameters which included total number of assembled transcripts, number and percent of transcripts ≥ 1000 bp, N50 value and coverage.
While the results from CEGMA were not, in our case, essential to the evaluation of the assemblies (over 95%% completion for most assemblies, Additional file 1: Table S1), two observations are remarkable.
In addition to a variety of in silico techniques for evaluation of genome assemblies, a PCR and Sanger sequencing strategy was used to validate rDNA operon predictions and further assess the assemblies.
Some useful conclusions can be applied to the structural design and the life evaluation of dovetail assemblies.
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