Software Engineering Challenges in Bioinformatics
Proceedings of the 26th International Conference on Software Engineering
Bioinformatics
Natural Language Processing with Python
Natural Language Processing with Python
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Data from biological research experiments is being posted online at a phenomenal rate. Even in a fairly narrow topic, one can easily become overloaded trying to keep up with information relevant to a single researcher. An automated method for analyzing and presenting this data is the key to conducting efficient and fruitful research in any biological field. Before now, there has not been a freely available semi-automated protein sorting motif text mining solution. This paper details a current work in progress to create a novel procedure for text mining protein sorting motif data from both full text documents and abstracts retrieved from PubMed Central. A full set of processing stages are currently implemented and early results are promising. We expect further work to yield a valuable tool to be made freely available for the community.