β-LacFamPred: HMM based prediction and annotation tool for β-lactamase families

Downloads

Users can download β-LacFamPred datasets, modules and subsets from following the download links.

Download HMMER as standalone

The tool used for the development of models for β-LacFamPred are available to the users for testing Beta-lactamase families predictions. Click here

Download Annotaions of β-lactamase families

V2.0: The detailed annotation of β-lactamase families is freely available for the users for further analysis. Click here

V1.0: The detailed annotation of β-lactamase families is freely available for the users for further analysis. Click here

Standalone Version

V2.0: For large number of protein/gene sets (>100) we recommend to use standalone version of β-LacFamPred, downloaded from following link. Click here

V1.0: For large number of protein/gene sets (>100) we recommend to use standalone version of β-LacFamPred, downloaded from following link. Click here

Protein Sequences, MSA and HMM profiles of β-lactamase families

V2.0: For Protein sequences scanning we recommend to use protein HMM profiles of β-LacFamPred, which can be downloaded from following link. We have also provided the sequences and MSAs of each families for users for their analysis. Click here

V1.0: For Protein sequences scanning we recommend to use protein HMM profiles of β-LacFamPred, which can be downloaded from following link. We have also provided the sequences and MSAs of each families for users for their analysis. Click here

Gene Sequences, MSA and HMM profiles of β-lactamase families

V2.0: For Nucleotide sequences scanning we recommend to use nucleotide HMM profiles of β-LacFamPred, which can be downloaded from following link. We have also provided the sequences and MSAs of each families for users for their analysis. Click here

V1.0: For Nucleotide sequences scanning we recommend to use nucleotide HMM profiles of β-LacFamPred, which can be downloaded from following link. We have also provided the sequences and MSAs of each families for users for their analysis. Click here

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