Sentence examples for alignment descriptions from inspiring English sources

ShortRead inputs but does not specially represent fine-grained alignment descriptions (e.g. in Stockholm format).

Results are hyperlinked to the external databases, and include alignment descriptions and details about the pairwise alignments of each contig with the corresponding BLAST hits.

These results are hyperlinked to external databases, and include the list of alignment descriptions and details about the pairwise alignments of each transcript with the corresponding BLAST hits.

BLAST results, both for nucleotide and protein database searches, are shown in a dedicated section in the classic BLAST output format, hyperlinked to external databases, and including the list of alignment descriptions and details about the pairwise alignments of the transcript with BLAST hits.

Both for nucleotide and protein database, results of similarity searches are shown in a dedicated section in the classic BLAST output format, including the list of alignments descriptions and details about the pairwise alignments with hits, each hyperlinked to external databases entries.

Local alignment sequence descriptions were used to remove non-pine origin sequences, sequences with significant alignments to prevalent fungal, bacterial, viral and insect sequences, from the assembly to produce the P. patula v1.0 draft transcriptome assembly.

There is a wealth of information that surrounds each phylogenetic study, including comparative data such as morphological character state matrices and nucleotide or amino acid sequence alignments, methodological descriptions such as substitution model and provenance information.

Sequences lacking described domains, or incomplete domains, were removed from the alignment (for description of which criteria that were used for each family see figure legends in supplementary file 1 and 2).

Problems incurred by sequence alignment on long descriptions as sequence identifiers are also resolved.

We have made the suggested changes in the alignment (trimmed) and descriptions in the figure legend for the blue shading and data below the alignment.

We used the following program parameters: -m dna_idmat, -l 6, -k 4, -g 5. GEMODA computes short multiple sequence alignments as motif descriptions in three distinct phases: comparison, clustering and convolution.