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Updated: Aug 13, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
CoSMoS: Conserved Sequence Motif Search in the proteome
Xiao I Liu1, Neeraj Korde, Ursula Jakob
1Department of Molecular, Cellular & Developmental Biology, University of Michigan, Ann Arbor, MI 48109-1048, USA. catqliu@umich.edu
The CoSMoS database aids researchers by identifying conserved sequence motifs and amino acid significance in the Escherichia coli K12 genome. This tool simplifies the analysis of multiple sequence alignments for functional studies.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Analyzing large gene sequence datasets for multiple sequence alignments is time-consuming for researchers.
- Regular analysis of sequence alignments is crucial in many biological research labs.
Purpose of the Study:
- To develop a database (CoSMoS) for identifying and evaluating sequence motifs and amino acid significance in the Escherichia coli K12 genome.
- To provide precomputed multiple sequence alignments for E. coli proteins and their homologues.
Main Methods:
- Creation of the CoSMoS database.
- Precomputation of multiple sequence alignments for E. coli proteins against the RefSeq database.
- Web interface for accessing alignment data, motif occurrences, and amino acid conservation.
Main Results:
- The CoSMoS database contains precomputed alignments for E. coli proteins.
- Information on sequence motif occurrences and amino acid conservation across the E. coli genome is available.
- The database covers over 1.3 million amino acids in the E. coli genome.
Conclusions:
- CoSMoS is a valuable tool for identifying conserved sequence motifs in E. coli proteins.
- The database facilitates the discovery of regions for mutational studies and prediction of structural features.
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