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In future work, we plan to apply this concept to more complex scientific experiments where input preparation and output parsing is more involved.
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The resulting BAM file was converted to pileup format using samtools and the output parsed to determine the nucleotide base at the known drug-resistance locations.
As long as the data produced from non-Illumina machines is in the FASTQ format (as we state in the existing Use Case text), then there are no differences from the method outlined in the paper, e.g. FASTQC output parsed and stored in StatsDB.
Table 2 Output when parsing invalid SMILES strings Input Message CCuCC Pos. 3 in CCuCC: Unknown character in SMILES-String: u C%12CCCC%1 Pos.
SNV calling from ShoRAH output involves parsing a set of 'haplotypes' for variants with respect to a reference sequence.
We have developed a layer to convert the output parameters parsed from the computation outputs by AiiDA into data items of TCOD CIF dictionaries.
The needle output is parsed for each reference genome and the closest match was used to assign a sub-genotype to the query sequence.
Raw SSAHASNP output was parsed using a custom Perl script.
The output was parsed to find the PFAM domain names and locations for each sequence.
The blast output was parsed using an in-house program and the homologous sequences amongst the SARs were extracted.
Minimum free energy of RNA secondary structure was calculated with RNAFold [29] and targeting rules applied to output and parsed using custom Perl scripts.
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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