The phrase "annotation in order to" is correct and usable in written English.
It can be used when explaining the purpose of an annotation or the reason for providing additional information or commentary.
Example: "The researcher included an annotation in order to clarify the methodology used in the study."
Alternatives: "annotation for the purpose of" or "annotation to explain".
The reverse primers were designed to target sites 150 nt downstream of the longest annotated transcript, as per the RefSeq annotation, in order to include downstream 3′end processing elements (Fig. 1).
Since genome scale analyses of the transcriptional response to the development and environmental stimuli require a precise and complete annotation in order to provide reliable and exhaustive data, we decided to annotate the ERF family members and create a qRT-PCR platform that allows investigating their expression profile.
Challenges include humanizing the immune system of PDX models and ensuring high quality molecular annotation, in order to maximize insights for the clinic.
The primary motivation behind automated chemical classification is to provide a comprehensive, accurate and fast chemical annotation in order to alleviate the cost and potential errors of manual classification.
The Kyoto Encyclopedia of Genes and Genomes (KEGG) was also used for gene annotation in order to identify those genes with putative enzymatic function.
This work demonstrates how data from different sources can be integrated using semantic annotation, in order to support a large scale collaborative study.
As an illustration, analysts must read and interpret the annotations in order to develop the appropriate boundary conditions.
A contextual goal model extends a goal model with context annotations in order to specify the variation points that are context-dependent.
But some said the company had gotten its prominent search rank — and subsequent traffic — by using spammy tactics to get blogs to link to its annotations in order to aid its Google PageRank.
Finally, ARGOT has proven to be a fast and precise tool whose main goal is to manage easily thousands of proteins in a typical large scale genome project [28], but can also be effective on a small scale and for single protein annotations, in order to gain general insights into putative functions [29].
Other cases were less straightforward and, in some situations, would likely require considerable ontology revision, as well as data re-annotation, in order to resolve the issue.
