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Only those alignment columns that could be aligned to the structure sequence were used in our subsequent analyses.
We analyzed those alignment files using Cufflinks2 [ 22], specifically Cuffdiff, to generate normalized expression (FPKM) values.
Most of those alignment algorithms are developed in a way that do not allow them to be used on multiple platforms.
The average alignment was computed across the genome and those alignment scores were log-transformed (base 2) to better visualize the full range of the data.
A filter considering only those alignment positions that were conserved in at least 10% of all sequences (resulting in a total number of 274 and 228 alignment columns for ISCaa3 and ISCaa4, respectively) was used for all treeing calculations.
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The former aligns reads to a reference, and we can use those alignments for a variety of purposes, including the classification task we present here.
Finally, we selected only those alignments with at least five reads supporting the same chimeric event, alignments defining (putative) introns with canonical splice sites (GT-AG) and an alignment quality higher than 40 (Phred scale).
All of those alignments and connections need to be designed.
They wanted to have a sense that they were reaching out and making physical contact with those alignments.
We mainly selected those alignments with a P-score exceeding 3, as this is usually considered accurate [20].
We excluded from our analysis those alignments in which there was at least one site without known solvent accessibility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com