HMMER: Fast and sensitive sequence similarity searches


 Wednesday 14 November 201816:00 17:00 (Europe/London)


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Melissa Burke

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A cornerstone of modern molecular biology is the electronic transfer of annotations form a few experimentally characterised sequences to the vast number being determined from DNA modern sequencing technologies.   In general, sequences that are evolutionarily related share some degree of similarity, and sequence-search algorithms use this principle to identify homologs. The requirement for a fast and sensitive sequence search method led to the development of the HMMER software and associated website housed at EMBL-EBI, which in the latest version, uses a combination of sophisticated acceleration heuristics and mathematical and computational optimisations to enable the use of profile hidden Markov models (HMMs) for sequence analysis.  In this presentation, I will cover some of the basics about the HMMER algorithm and the use of the HMMER via the website.  

This webinar took place on 14 November 2018. The recording of this webinar and the slides can be found in Train online.


This webinar is aimed at individuals who wish to learn more about the HMMER. No prior knowledge of bioinformatics is required, but an undergraduate level understanding of biology would be useful.