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Overall Splign appears to be a robust program with excellent accuracy, and a very useful "splice site aware" alignment algorithm.
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In fact, these data could be used to create structurally aware alignments of the sequences, using structural information for only one or a few members of the protein family (see Figure S2).
There are ways to align bisulfite colorspace sequences with methylation-aware alignment approaches, which convert bisulfite colorspace sequences to basespace and index all theoretically possible alignments by creating a hash table.
Rip sequences were aligned using the ProGraphMSA program, which implements the evolution-aware alignment [ 65, 66].
After demultiplexing, 36 bp RNA-Seq reads were trimmed from barcodes (4 nt) and mapped to the TAIR10 reference genome including known variation with the PALMapper aligner (Jean et al., 2010) using a variant-aware alignment strategy.
Reads were then realigned to the subsection of the genome using a gap-aware alignment program, cross_match (http://www.phrap.org/phredphrapconsed.html).html
The basic data processing consists of a splicing-aware alignment using Tophat2 [ 12] followed by reference-guided transcriptome reassembly with Cufflinks2 [ 19].
While a second, allele-aware alignment increases accuracy at predicted heterozygous sites, these modest gains, still accompanied by a high rate of false discovery, require an additional alignment.
Results: We have developed a method for phylogeny-aware alignment of partial-order sequence graphs and apply it here to the extension of alignments with new data.
Here, we outline a new general-purpose method for phylogeny-aware alignment of sequence graphs and apply it to phylogenetic extension of existing alignments.
Reads that mapped to multiple locations equally well according to MAQ's quality-aware alignment algorithm (i.e. had mapping quality scores of 0) were discarded.
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