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SGA [ 15] was used to generate contigs from the reads.
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We modeled the probability of generating contigs from sequences which overlap by chance using an implementation of the Poisson distribution developed by Lander and Waterman [ 20].
Major advantages of sequencing full-length cDNA over the EST assembly include that the data is derived from a single clone rather than the assembly of multiple ESTs which can generate contigs containing sequences from multiple transcripts.
The size distributions of the contigs from each tissue are presented in Additional file 2. After assembling the reads from all four tissues together, the generated contigs ranged from 100 to 7,858 bp, with an average size of 468.7 bp, while the size of the singletons ranged from 100 to 691 bp, averaging 382.9 bp.
Following a two-step approach (supplementary fig. S1, Supplementary Material online), we first generated contigs separately from the two types of reads and identified (using BLASTX against all protein-coding sequences of seven vertebrate species) the snake contigs likely to encode for vomeronasal receptors.
The remaining readpairs were written to fastq files and fed into the FLASH program [ 23] to generate larger contigs from overlapping reads (−f < mean insert size > −s < insert size standard deviation > −r 100).
Trinity [ 27] is a transcriptome assembler that does not generate one large de Bruijn graph for the whole dataset but first generates linear contigs from seeds (filtered k-mers) in the Inchworm step first.
The sequencing data generated 69,751 contigs from 58.9 million filtered reads.
While the clustering parameters allowed for grouping of relatively divergent sequences, the assembly process was more stringent, and thus typically generated multiple contigs from a single cluster.
We successfully generated RNA contigs from G. intestinalis and T. vaginalis and compared the updated mapping software Bowtie [ 19] to the original software Maq [ 20].
The initial assembling generated 253 contigs, from which 140 contigs remained after excluding non-OR sequences and OR sequences with <5× coverages as well as unifying sequences with <1% sequence divergences (table 2).
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