Sentence examples for we generated read from inspiring English sources

We generated read samples of sizes ranging from 10 to 5000, with 100 samples per read set size.

From each alignment of reads to a reference database, we generated read trees using three different phylogenetic inference algorithms: FastTree [ 25], RAxML [ 33] (with a fixed reference tree), and pplacer [ 12].

We generated reads with three size classes, 35, 50 and 100 bp.

We generated reads of length 36 bp using the default empirical error model of Metasim, which simulates the reads produced by Solexa sequencing technology.

The numbers of generated reads were 50 for 100 bps reads and 100 for 50 bps reads in a block to adjust the average coverage depth equals to 10. Also, we generated reads with designating error rate to 0%, 2 %, 4 %, 6 and 8%, in order to determine the dependency of manding results on read error.

We generated reads of size 100 bp from each of the datasets such that the average coverage of the reads to a particular position of the sequence is around 5. Reads were generated by taking substrings of size 100 bp from randomly selected positions in the sequence.

Next, we generate reads in a similar uniform fashion from each clone with a depth given by the read coverage CovR = 1.5x or 2.0x.

For all the methods, we aligned the generated read pair sequences with BWA using the default parameters.

We randomly generated reads from chromosome one, drawing from a distribution with copy number of two that conforms to our negative-binomial model with a VMR of three.

We then generated reads from the start positions in FASTA format.

We then generated reads from both copies of hg19_mref1, hg19_mref2 and hg19_mref3 at 2.5X, 5X and 10X coverage, which combined yield a total coverage of 10X, 20X and 40X, respectively.