Your English writing platform
Free sign upSuggestions(2)
Exact(1)
The sequences were re-evaluated with NCBI's CDS and CDART programs (http://www.ncbi.nlm.nih.gov), as well as the probabilistic profile hidden Markov models (HMMs) using the HMMER webserver (http://hmmer.janelia.org).org
Similar(59)
The sequence logos of bZIP domains were created using the HMMER online tool (hmmer.janelia.org/search/hmmsearch) [ 30].
Domains within the sequences were identified by searching against the Pfam database [69] using the HMMER v3 program [70].
All HMMs were constructed using the HMMER package hmmbuild and hmmcalibrate commands, and sequences aligned to the HMMs were extracted from the output of the hmmpfam command (package available at http://hmmer.janelia.org).org
Conserved protein domains were identified using the HMMer package [ 83].
The HMMs were trained on this alignment using the HMMer programme's (Eddy, 1998) HMMBuild.
HET domain [ 15, 33] proteins were identified using the HMMer package as described in Methods.
From the alignments, sequence Hidden Markov Models (HMMs) were constructed using the HMMER 2.2 package [ 30].
Alternatively, profile-based search methods using the HMMER algorithm may also be used whenever pre-computed sequence profiles are available.
Searches using profile Hidden Markov Models (HMMs) from the PFAM database [ 43] were done using the HMMer software package.
All mitochondrial sequences were aligned using the ClustalW2 webserver (http://www.ebi.ac.uk/Tools/clustalw2/index.html), with manual adjustment (alignment available upon request).
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