The phrase "alignment label" is correct and usable in written English.
It can be used in contexts related to categorization, organization, or classification, particularly in fields like data science, machine learning, or project management.
Example: "Each data point in the dataset is assigned an alignment label to ensure proper categorization during analysis."
Alternatives: "classification tag" or "categorization label".
The Viterbi decoding assigns gain +1 for a completely correct alignment labeled with a correct state annotation.
The alignment labeled with repeat annotation gets a gain 1, if all its blocks are correct, where block correctness is determined as in the block decoding.
Fasta files containing the alignment labeled with the SSU and LSU rRNA secondary structure are included in the digital supplementary material associated with this article (additional file 2).
a significant and unique sub-map alignment; an alignment labeled as non-significant and/or non-unique (which will be considered as a false alignment); or no feasible alignments found.
Each glocal alignment sub-problem will then return either: (i) a significant and unique sub-map alignment; (ii) an alignment labeled as non-significant and/or non-unique (which will be considered as a false alignment); or (iii) no feasible alignments found.
For multiple sequence alignment of the Ground and Ground-like domains MAFFT was used [see Additional file 3]; in case of GRD-1, GRD-2, and GRD-11 the four domains were extracted by hand and added to the alignment labeled with R1 to R4. Phylogenetic analysis of the alignment was done using Neighbor joining as implemented in ClustalX [ 36].
Fasta files containing our alignments labeled with the SSU and LSU rRNA secondary structure are given in Additional file 2. Here, matching parentheses and dots were used to indicate stem and loop regions, respectively; structural helix numbering is given after [ 91], except for the SSU variable region 4 (V4) for which notations of [ 92, 93] were used.
The result was somewhat different from the alignment score/functional label analysis, in that terms related to metabolism, cell cycle and transcription were found to be positively correlated and terms related to response to external signal, immune response, membrane and extracellular matrix were negatively correlated with high CpG frequency (Additional file 5: Table 5).
This is then discussed in a large alignment meeting (labelled the QBR Marketplace) attended by tribe leads and other relevant leaders.
So is alignment with labels or containers that identify granular, structural units like sections or provisions, because such units can occur multiple times within a single page.
