Florent Dufour

• Health informatics - Cloud computing - Machine learning
• Leibniz Supercomputing Centre

A major step towards reliable reading of information coded in the sequence of long poly(phosphodiester)s was previously achieved by introducing an alkoxyamine spacer between information sub‐segments. However, MS/MS decoding had to be performed manually to safely identify useful fragments of low abundance compared to side‐products from the amide‐bas...

Reliable reading of information coded in the sequence of long poly(phosphodiester)s was previously achieved by introducing an alkoxyamine spacer between information sub‐segments. Now, the structure of this spacer is designed in a rational manner to prevent side‐reactions during MS/MS sequencing and hence enable automated reading of each byte of inf...

High-capacity digital poly(phosphodiester)s were synthesized by stepwise automated phosphoramidite chemistry. Coding libraries containing either 4 or 8 phosphoramidite monomers of different mass were used to encode the polymers, thus enabling storage densities of 2 or 3 bits/monomer, respectively. In addition, a monomer containing a cleavable alkox...

Digital polymers are uniform macromolecules that store monomer‐based binary sequences. Molecularly‐stored information is usually extracted from the polymer by a tandem mass spectrometry (MS/MS) measurement, in which the coded chains are fragmented to reveal each bit (i.e. basic coded monomer unit) of the sequence. Here, we show that data‐extraction...

Digital polymers are uniform macromolecules that store monomer‐based binary sequences. Molecularly‐stored information is usually extracted from the polymer by a tandem mass spectrometry (MS/MS) measurement, in which the coded chains are fragmented to reveal each bit (i.e. basic coded monomer unit) of the sequence. Here, we show that data‐extraction...