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n silico Proteomic Functional Re-annotation
Escherichia coli
K-12 using Dynamic Biological Data Fusion Strategy
42
proteome sequences of
E. coli
K-12 organism.
Here, in silico functional proteomic re-annotation of
the
E. coli
K-12 was carried out using a
well-organized and proficient annotation procedure
that involves dynamic fusion of biological data from
various databases (Figure 2).The complete genome of
E. coli
K-12 was downloaded from the EcoCyc
database and an initial analysis on the total number of
protein sequences with clear functions and the
sequences without clear functions were carried out.
Then, all the sequences were submitted to the AIM
BLAST for BLAST analyses, FGT for ProDom,
ScanProsite and COG analyses and stand alone Pfam
for family based analyses. The results of individual
sequences from all the five tools were stored in a local
database for further analyses. When the results of all
the sequences were available, a statistical analysis was
undertaken to determine the confidence level of
predicted functions.
Authors’ contributions
GRK did Overall data management,software
development and writing paper. TKS carried out
software development and writing paper. CPR did
data analysis and interpretation. KPK involved in
software development and data analysis. The authors
have read and approved the manuscript.
Acknowledgements
Authors would like to thank Aravindan Ganesan,
Kalyanamoorthy Subha and R Sathish Kumar for their
constructive comments which helped in preparation of
this manuscript.
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