"without annotation" is a perfectly valid phrase to use in written English.
It is often used to refer to the lack of text or labels providing additional information. For example: "This diagram was presented without annotation, making it difficult for viewers to understand."
However, of these 190 unique spots we found 116 to be without annotation and further 37 annotated as predicted, putative, or otherwise uncharacterized protein.
This has resulted in numerous sequences, which are mostly annotated electronically or are without annotation.
Gene predictions without annotation data in SpBase (or annotated as "duplicates"), or as having excessive repeats or lacking sufficient information (i.e., having insufficient degrees of freedom) as identified by SCUMBLE (Kloster and Tang 2008) also were excluded.
Matching sRNAs without annotation were stored in the Un-annotated file.
On the other hand, Cufflinks assembly without annotation rediscovered 6918 out of 8537 annotated splice-junctions (81 %) and, as noted above, predicted contiguous transcripts spanning 4707 out of 5777 annotated transcripts (81.5%%) [Fig. 3A, Additional file 17].
The locations of the genes without annotation in Ensembl were inferred from the positions of the annotated elements in the corresponding ICs.
A gene map (Figure 2) was built of the entire assembly including the 33 annotated genes plus 16 hypothetical proteins, i.e., ORFs without annotation that do not overlap any of the 33 genes.
Expressed sequence tags without annotation were filtered from PTM outputs, thus restricting gene sets to annotated genes.
To identify putative miRNAs, we analysed unique tags with a single match to the genome that were annotated as matched to RefSeq or redundant mouse EST sequences or were without annotation.
Each week participants read 3 passages, each with different annotation formats as a treatment condition and one passage without annotation as a control condition.
Interestingly, participants in the control condition (without annotation) performed as well in both learning performance and metacomprehension accuracy as their counterparts.
