Recorded webinar

HMMER: Fast and sensitive sequence similarity searches

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 webinar, we will cover some of the basics about the HMMER algorithm and the use of the HMMER via the website.  

Who is this course for?

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 knowledge of biology would be useful.

DOI_disc_logo DOI: 10.6019/TOL.HMMER-w.2018.00001.1

EBI Resources

title
Duration: 00:42:50
14 November 2018
Online
Free
Contact
Melissa Burke

Organisers
  • Melissa Burke
    EMBL-EBI
  • Andrew Cowley
    EMBL-EBI

Speakers
  • Rob Finn
    EMBL-EBI

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


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