Suggestions(1)
Exact(1)
To obtain high quality sequence alignments, the longest transcript of each species was chosen when genes had more than one transcript and sequencing errors and non-orthologous sequences were removed using an in-house script.
Similar(59)
However, due to the low-depth sequencing of toxin transcripts for each species, fast evolution of toxin genes, and lack of genome sequences, the detailed elaboration of snake venom evolution is still unclear.
aThe total number of transcripts for each species.
The final set of unique transcripts for each species was generated by combining the results from all assemblies and eliminating duplicates by means of an NGen assembly and a second, more stringent assembly in SeqMan Pro.
A total of 41,858 and 39,293 transcripts for each species were obtained by de novo assembly.
This procedure created a set of around 100 housekeeping transcripts for each species (specifically: 76 genes/103 transcripts for human, 93 genes/113 transcripts mouse and 40 genes/80 transcripts fruit fly).
Overlap between Rotaria and Adineta transcriptomes is just under half: between 44.4 % and 48.4 % of transcripts of each Rotaria species in turn returned BLASTN matches with the A. ricciae transcriptome at e-value ≤1e-10, whereas between 85.6 % and 91.6 % of transcripts in each Rotaria transcriptome have a homologous transcript in another Rotaria sample with BLASTN match and e-value ≤1e-10.
The number of transcript contigs for each species is the summation of all contig sequences constructed by the set of ESTs and by the set of SRA reads.
The database will be updated periodically for new sequences and expanded to cover more species.> -wrap-foot> aThe number of transcript contigs in each species is the summation of all contig sequences constructed by a set of ESTs and by a set of SRA reads with CAP3 (with default or 97%-similarity parameters) and Newbler (with default parameters).
The completeness of a comprehensive transcript catalogue for each species will depend on the collection of tissues, cell lines and phenotypes, as well as on the variety of physiological and developmental conditions, included.
This resulted in a set of 5,710 predicted transcript sequences from each species.
Write better and faster with AI suggestions while staying true to your unique style.
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