epimolvih

HIV Molecular Epidemiology Laboratory
IRYCIS-Ramón y Cajal Hospital

epimolvih
HIV Molecular
Epidemiology Laboratory

IRYCIS-Ramón y Cajal Hospital

EpiMolBio™

Analysis of genetic variability

EpiMolBio™

Analysis of genetic variability

EpiMolBio™

Analysis of genetic variability
EpiMolBio is a free-to-use software designed with an intuitive, user-friendly interface to explore genetic variability.
Its diverse toolkit encompasses sequence processing, conservation and variability analysis, consensus sequence generation, and genome mutation or amino acid changes identification, including specialized tools for HIV and SARS-CoV-2 analysis.

Requires installing Java

Virus

Specific tools for HIV resistance mutation and conservation analysis, and SARS-CoV-2 protein tracking.

Variability

Identify polymorphisms, determine conservation or mutation frequency, derive consensuses, and calculate Wu-Kabat coefficient.

Homology

Search for, compare, and extract target sequences based on established similarity criteria.

Tracker

Search for proteins and target sequences within a set of longer sequences.

Alignments

Perform alignments, delete insertions and create dot-plot graphics.

Tools

Edit files.
Filter, count or translate sequences.
Automate EpiMolBio’s functions.

Virus

Specific tools for HIV resistance mutation and conservation analysis, and SARS-CoV-2 protein tracking.

Variability

Identify polymorphisms, determine conservation or mutation frequency, derive consensuses, and calculate Wu-Kabat coefficient.

Homology

Search for, compare, and extract target sequences based on established similarity criteria.

Tracker

Search for proteins and target sequences within a set of longer sequences.

Alignments

Perform alignments, delete insertions and create dot-plot graphics.

Tools

Edit files.
Filter, count or translate sequences.
Automate EpiMolBio’s functions.

How to cite

Troyano-Hernáez P, Reinosa R, Holguín A. Genetic Diversity and Low Therapeutic Impact of Variant-Specific Markers in HIV-1 Pol Proteins. Front Microbiol. 2022 Jul 14;13:866705. doi: 10.3389/fmicb.2022.866705. PMID: 35910645; PMCID: PMC9330395. (Provisional citation).

Creators

Roberto Reinosa
Researcher in EpiMolVIH laboratory
Bioinformatician

Dr. África Holguín
Spanish NHS Researcher
Head of EpiMolVIH laboratory

Paloma Troyano-Hernáez, M.D. Researcher in EpiMolVIH laboratory
Microbiologist

Roberto Reinosa
Researcher in EpiMolVIH laboratory
Bioinformatician

Dr. África Holguín
Spanish NHS Researcher
Head of EpiMolVIH laboratory

Paloma Troyano-Hernáez, M.D. Researcher in EpiMolVIH laboratory
Microbiologist

Aknowledgements

IRYCIS – Innovation Unit
Diego Velasco Escribano
Emma González Seiz

Fundación Familia Alonso
Beatriz Alonso de Diego

IRYCIS – Bioinformatics Unit
Val Fernández Lanza

EpiMolVIH
Ana Valadés Alcaraz

IRYCIS – Innovation Unit
Diego Velasco Escribano
Emma González Seiz

Fundación Familia Alonso
Beatriz Alonso de Diego

IRYCIS – Bioinformatics Unit
Val Fernández Lanza

EpiMolVIH
Ana Valadés Alcaraz

IRYCIS – Innovation Unit
Diego Velasco Escribano
Emma González Seiz

Fundación Familia Alonso
Beatriz Alonso de Diego

IRYCIS – Bioinformatics Unit
Val Fernández Lanza

EpiMolVIH
Ana Valadés Alcaraz

Contact us

If you need assistance with any genetic variability project or wish to engage our expertise in any of your projects, feel free to contact us.
For questions about the program’s operation, first check the User Manual of EpiMolBio and the video tutorials available in Manual.

Contact
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