Filtering erroneous protein annotation

Filtering erroneous protein annotation

MOTIVATION Automatically generated annotation on protein data of UniProt (Universal Protein Resource) is planned to be publicly available on the UniProt web pages in April 2004. It is expected that the data content of over 500,000 protein entries in the TrEMBL section will be enhanced by the output of an automated annotation pipeline. However, a part of the automatically added data will be erro...

Highlight report: Erroneous sample annotation in a high fraction of publicly available genome-wide expression datasets.

FixPred: a resource for correction of erroneous protein sequences

Protein databases are heavily contaminated with erroneous (mispredicted, abnormal and incomplete) sequences and these erroneous data significantly distort the conclusions drawn from genome-scale protein sequence analyses. In our earlier work we described the MisPred resource that serves to identify erroneous sequences; here we present the FixPred computational pipeline that automatically correc...

Dictionary-driven protein annotation.

Computational methods seeking to automatically determine the properties (functional, structural, physicochemical, etc.) of a protein directly from the sequence have long been the focus of numerous research groups. With the advent of advanced sequencing methods and systems, the number of amino acid sequences that are being deposited in the public databases has been increasing steadily. This has ...

Challenges for protein family annotation

In the wake of the many fruitful genome projects, tools to aid the annotation of proteomic data are sorely needed. Building from relatively simplistic approaches to an integrated system developed in collaboration with text mining experts, we have created tools capable of producing core annotation for protein families; but many challenges remain. Extending and improving these tools should have w...