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HAVE YOU ALREADY HEARD? Combinatorial Libraries of Poor Quality

The quality of most starting libraries is very poor and often far away from what theoretical can be expected. It is clear, that the better the quality of the starting library, the better is the chance to finally end up your in vitro evolutionary procedure with high quality ligands. AptaIT analysed  combinatorial libraries from different providers in respect to diversity and random distribution of nucleotides and motifs and were surprised about the poor quality that is delivered.
AptaIT optimized the synthesis of random libraries and can provide libraries with optimal random distribution of nucleotides as a high diversity source for high quality ligands.

EVENTS - YOU CAN MEET US AT

4th Munich Biomarker Conference…

ASGCT Aptamers Symposium…

PEGS Europe 2015…

PEGS Lisbon M.Blank May 02-03, 20…

Aptamers 2016…

Aptamers 2016 April 4-5, 2016, Oxford…

PEGS…

PEGS April 25-26, 2016, Boston, USA…

NEXT GENERATION ANALYSIS OF NEXT-GENERATION SEQUENCING DATA

AptaIT is a bioinformatics company that is dedicated to develop advanced and user-friendly software solutions for sequence driven biomedical research. Next-generation sequencing (NGS) currently transforms the procedures of modern drug discovery. AptaIT has developed intelligent solutions based on it’s software COMPAS with an emphasis to discovery platforms of novel biologics by in vitro selection strategies or analysing the natural immune response (TCR/BCR).

AptaIT’s core innovation is a novel approach to identify frequent patterns way beyond the limits of mere similarity searches in giant sequence data sets derived from next-generation sequencing.

THE SOFTWARE COMPAS ENABLES

  • intelligent and efficient analysis of next-generation sequencing data.
  • quality control of synthectic nucleic acid libraries enhancing phage display or SELEX experiments.
  • accelerated and advanced identification of ligands - even rare ones - in combinatorial …selection experiments by advanced ligand identification algorithms.
  • comprehensive analysis of NGS data of B cell and T cell receptor repertoires.
  • improved lead optimization of biological lead compounds (peptides, antibodies, aptamers, next-generation biologics).
  • and improved patenting strategies by profound sequence information.

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