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By doing so we guarantee an equivalent read count from non-exonic region for each gene.
To extract non-exonic read counts, HTSeq was performed second time to generate an equivalent read count for each gene over an exactly same length of non-exonic region.
With this procedure, all R108 LPs were detected in both assemblies from subsampled reads indicating that LP genes can be correctly assembled and discovered at equivalent read coverage.
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The empirical relation between the observed period (in the unit of second) at the maximum signal strength and the source energy (in the unit of kT TNT equivalent) reads log_{10} left( {frac{E}{2}} right) = 3.34log_{10} (P) - 2.58,,{raisE$.7exhbox{$E$} !mathord{left/ {vphantom {E 2}}right.kern-0pt} !lewer0.7exhbox{$2$}} ; le ;100, {text{kT}} (3).
This way, equivalent reads will never reside too long in memory.
Indeed, in practice the runtime bottlenecks are parsing the reads, computing the compatibility graph and detecting equivalent reads.
Given a collection of reads, we want to: Find the connected components of the compatibility graph induced by the reads, and Collapse equivalent reads into read classes with multiplicity indicating the number of reads in each class.
These are sorted by descending abundance in the L. donovani library, with the equivalent reads from the L. braziliensis library in the same row.
We overcome the two problems presented above using an online version of the union-find algorithm which computes connected components and eliminates equivalent reads on the fly.
A straightforward approach is to solve the first problem using a union-find algorithm, then to take the reads corresponding to each connected component and remove equivalent reads, e.g., using hashing.
We define the weights b by: Since we already collapse equivalent reads into read classes, we can seamlessly incorporate hexamer weights in the algorithm by slightly changing the definition of a read class' multiplicity to, where h(r) denotes the starting hexamer of r.
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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