The phrase "achieve annotation" is not commonly used in written English and may not convey a clear meaning.
It could be used in contexts related to obtaining or creating annotations, such as in academic or technical writing.
Example: "To enhance the clarity of the document, we need to achieve annotation for all key sections."
Alternatives: "obtain annotations" or "create annotations".
At this stage it is important to mention that, in spite of the best efforts to reconstruct and prepare datasets by 1) quality filtering, 2) performing assemblies, and 3) binning sequences into taxonomically informative groups, annotation pipelines still achieve successful annotation for only ~50% of the sequences under analysis.
In contrast, it may be impossible to achieve zero annotation errors with an unsupervised model that does not directly use the breakpoint annotations (Hocking and Rigaill, 2012).
BioDEAL can leverage these documents to achieve higher annotation throughput by allowing users, either the publication authors or general readers, to upload supplemental spreadsheets to automatically annotate publications based on the biological information in the documents.
All automatic annotations were adapted in order to achieve congruent annotations for modules of genes.
For comparison purposes, we also consider a second analysis pipeline that uses a single reference genome and attempts to achieve similar annotations.
For achieving consistent annotations between annotators, the task organizers followed the usual practice of corpus annotation (34 37, 40, 41), which is also a GO annotation standard: first we drafted a set of annotation guidelines and then asked each of our annotators to follow them on a shared article as part of the training process.
We have achieved an annotation accuracy up to 85% in our evaluation dataset.
Although the CCDS collaboration members share the common goal of achieving consistent annotation for protein-coding genes, several factors make this a challenge.
Excluding signal peptide and TM prediction and with this current collection of motif or domain based algorithms, we achieved better annotation coverage by PCAS.
Identification of all expressed murine miRNAs in our samples was achieved by annotation of the filtered dataset to the miRBase 14.0.
Furthermore, MeRIP-PF also achieves gene annotation of mA signals or peaks and produce outputs in both XLS and graphical format, which are useful for further study.
