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Initially, subtomograms from the far-from-focus dataset were averaged without alignment to generate a smooth starting reference, and then iteratively aligned against the reference using an adapted version of the TOM/AV3 package, as previously described (Faini et al., 2012).
The algorithm is summarized as follows: Step 1. Decode the input speech utterance with an LVCSR decoder, collecting phone back-tracking information using word-based phone alignment to generate a word-based phone lattice.
Full-length Satellite 1 sequences were identified and used for alignment to generate a Satellite 1 nucleotide base matrix.
We used the multiple sequence alignment to generate a protein secondary structure prediction for the LNX3H domain on the Jpred 3 server [ 39].
In an earlier study we used interactive word alignment to generate a medical English-Swedish dictionary from a collection of the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P[ 2].
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As a default setting, EvoPrinterHD selects c eBLATs to generate an EvoPrint; however, the user can select just the highest scoring alignment to generate an EvoPrint, and doing so eliminates potential false positives that are identified as repeat sequences.
The following parameters were used for this search: "cross_match" as the search model; "slow search" to obtain a search 0-50-5%re sensithan then the standard; "fungi" to specify the species or group of input sequences and "alignment" to generate an output file showing the alignment.
The following parameters were used for this search: "RM_BLAST" as the search model; "slow search" to obtain a search 0-50-5%re sensithan then the standard search; "fungi" to specify the species or group of input sequences; and "alignment" to generate an output file showing the alignment.
In the Whole paired-end approach, tools align the full-length paired-end reads on a reference and use discordant alignments to generate a set of putative fusion events which are finally selected using several additional pieces of information or filtering steps.
Use pairwise structure based alignments to generate a template alignment of all PDB sequences.
We used these alignments to generate a multiple alignment of the reading-frame region of human and chimpanzee orthologues of the NANOG gene and all pseudogenes except NANOGP11.
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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