BlasterJS is a free to use, open source JavaScript based BLAST alignments viewer, with support for both single and multiple alignments.

This library allows you to:

  • Display BLAST hits distribution in the query sequence.
  • Display all hits with their measures on a table.
  • For all hits, you can visualize the singly alignment.
  • Export images and tables.
  • Use it everywhere: you can use BlasterJS on any web page. In addition, you can select which elements you want to display.

LA-iMageS is an open source, multi-platform application to generate 2D/3D images for the elements present in a set from ICP-MS (Inductively Coupled Plasma Mass Spectrometry) spectra.

LA-iMageS allows you to:

  • Extract the elements from the ICP-MS spectra.
  • Normalize the elements by a standard.
  • Generate custom 2D/3D representations of each element.
  • Export the results into images.

SDS: Smart Drug Search

SDS (Smart Drug Search) is an advanced search engine for the screening of up-to-date information on drug-related experimental studies. A small search engine demo indexing articles on antimicrobial peptide research is available at http://​sing.​ei.​uvigo.​es/​sds/​.

Moreover, a public REST API is provided, free of any charge, in order to allow external applications to integrate any of the features that SDS provides. The RESTful API enables the use of the searchable collection by different user interfaces whereas text mining tools support domain-specific document labeling, scoring and indexing.


The MAHMI Project (Mechanism of action of the human microbiome: from genetic sequences to immunomodulatory peptides), propose a step forward on the description and characterization of potential bioactive peptides encrypted in larger bacterial proteins. MAHMI contains a curated database of empiric data associating an amino acid sequence with antiproliferative or immunomodulatory bioactivity, which will be used for filtering the set of peptides generated. The biologic effect of some of the peptides showing the highest potential to be immunomodulatory or antiproliferative, will be characterised using cellular immune models (dendritic cells) or tumoral epithelial cell ines, coupled to a multi-omic analysis. These peptides could be useful in the treatment of Inflammatory Bowel Diseases or Colorectal Cancer.

In the close future, we hope that MAHMI Project will provide the user with a comparative tool for identifying the potential immunomodulatory or antiproliferative bioactivity of a submitted amino acidic sequence.

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