Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
The vertebrate alignment produced the most accurate CASM scores and was used in all subsequent analyses.
The 17-way vertebrate alignment, i.e., multiple alignments of 16 vertebrate genomes to the human genome (hg18), was obtained from [ 44].
Multiple alignment files for the 100 vertebrate alignment were retrieved from UCSC (Karolchik et al. 2014) and parsed to create alignments containing human (hg19), chimp (panTro4), gorilla (gorGor3), orangutan (ponAbe2), gibbon (nomLeu3), and macaque (rheMac3) sequences.
Similar(56)
For the most conserved class of vertebrate alignments, 58% of non coding regions are alignable between human and fish, versus 95% of coding alignments (66.48% identity in alignable non coding sequences, 69.23% in alignable CDS).
The vertebrate alignments served as a source for orthologous tRNAs and neutrally evolving sequences.
The selected set included 44'709 insect alignments and 181'556 vertebrate alignments, with an average length of 120 bp.
To establish the persistence time of CNC, we used whole genome multiple alignments downloaded from the UCSC genome browser (17-species vertebrate alignments and 8-species insect alignments).
The '21 amniota vertebrates' alignment was used and split into mammalian and non-mammalian species.
To compare the two approaches, we used the 46 vertebrates alignment of Human chromosome 22 downloaded from UCSC [ 8] as input data, and ran the analyses on a linux workstation (Intel(R) Xeon(R) CPU E5520 @ 2.27GHz, with 16Gb of RAM running Ubuntu 12.04).
Sequence comparison of miRNAs among species was performed through the University of California Santa Cruise Genome Browser (Kent et al, 2002), using the Vertebrate Multiz Alignment and PhastCons Conservation (multiple alignments of 28 vertebrate species and two measures of evolutionary conservation).
PhastCons scores on human genome coordinates derived from the 17-way vertebrate genomes alignment were obtained from the UCSC genome browser [31].
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