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Therefore we concluded that this was the maximum allowable mismatch for aligning the sequenced transcripts.
For each of the three simulated data sets and the experimental Ciona data, we generated clustering threshold series in order to evaluate the impact of the maximum allowable mismatch threshold on the proportion of clusters free from artifacts.
Given two similar strings s x and s y which contain at the most p different nucleotides, the probability of their hash values being identical is given by: (2) P [ h (s x ) = h (s y ) ] ≥ 1 - p n k where parameter p is the maximum allowable mismatch between the two pairs of strings and P is the probability which is computed over random choices of the k indices, i1,..., i k.
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2. Allowable mismatches We next tested the effect of mismatches (allowing 1-3 minmatcontinuous continuousequencece of 20 nt starting from position 2 on piRNAs.
In general, other than increasing MMES and reducing the allowable mismatches, one can also increase the length of RNA-seq read to improve the mapping specificity.
These parameters are: (i) the value of k. (ii) a number of allowable mismatches at arbitrary positions within each k-mer.
Default parameter values were used, except for the number of allowable mismatches between primer and genomic sequences (we used n = 3).
Paired reads were aligned to the UMD3.1 cattle reference assembly using NextGENe 2.4.1 (SoftGenetics, LLC, State College, PA) requiring at least 35 contiguous bases with ≥95.0 % overall match, up to 2 allowable mismatched bases, and up to 100 allowable alignments of equal probability genome-wide.
In order to allow for pairs of strings that are not exactly identical, but similar (i.e., a few nucleotide mismatches) to pass the LSH-based hamming distance filter, the mismatch factor parameter p is implemented as the percentage of allowable mismatches.
51-bp paired-end reads that passed the chastity filter threshold were mapped using TopHat 2.0 (Trapnell et al., 2012) with default parameter values, except for distance between mature pairs (r = 200) and the number of allowable mismatches between read and genomic sequences (n = 3) to account for a possible genetic variability between study and database organisms.
Transcription factor-binding sites in conserved sequences were predicted using TESS [ 48], using the core positions of TRANSFAC strings with the maximum allowable string mismatch 10%, minimum log-likelihood ratio score 12, minimum string length 6 bp and organism classification vertebrata options.
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