Unknown

Dataset Information

0

CoSMoS: Conserved Sequence Motif Search in the proteome.


ABSTRACT: BACKGROUND: With the ever-increasing number of gene sequences in the public databases, generating and analyzing multiple sequence alignments becomes increasingly time consuming. Nevertheless it is a task performed on a regular basis by researchers in many labs. RESULTS: We have now created a database called CoSMoS to find the occurrences and at the same time evaluate the significance of sequence motifs and amino acids encoded in the whole genome of the model organism Escherichia coli K12. We provide a precomputed set of multiple sequence alignments for each individual E. coli protein with all of its homologues in the RefSeq database. The alignments themselves, information about the occurrence of sequence motifs together with information on the conservation of each of the more than 1.3 million amino acids encoded in the E. coli genome can be accessed via the web interface of CoSMoS. CONCLUSION: CoSMoS is a valuable tool to identify highly conserved sequence motifs, to find regions suitable for mutational studies in functional analyses and to predict important structural features in E. coli proteins.

SUBMITTER: Liu XI 

PROVIDER: S-EPMC1395340 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature

altmetric image

Publications

CoSMoS: Conserved Sequence Motif Search in the proteome.

Liu Xiao I XI   Korde Neeraj N   Jakob Ursula U   Leichert Lars I LI  

BMC bioinformatics 20060124


<h4>Background</h4>With the ever-increasing number of gene sequences in the public databases, generating and analyzing multiple sequence alignments becomes increasingly time consuming. Nevertheless it is a task performed on a regular basis by researchers in many labs.<h4>Results</h4>We have now created a database called CoSMoS to find the occurrences and at the same time evaluate the significance of sequence motifs and amino acids encoded in the whole genome of the model organism Escherichia col  ...[more]

Similar Datasets

2010-05-18 | E-GEOD-17135 | biostudies-arrayexpress
2009-12-10 | GSE17135 | GEO
| S-EPMC2790875 | biostudies-literature
| S-EPMC6125683 | biostudies-literature
| S-EPMC2144715 | biostudies-other
2020-09-21 | GSE126717 | GEO
| S-EPMC7707777 | biostudies-literature
| S-EPMC7455498 | biostudies-literature
2022-03-04 | GSE189259 | GEO
| S-EPMC2174947 | biostudies-literature