Sophia Joins The Netsyn Lab Netσyn Lab She is associated with the computer science department, citp, decenter, and ai lab. her research draws from networking, security, formal methods, and machine learning. Netsyn can be used with 2 different input file formats. one is a file containing a list of uniprot accessions ( u option), while the other one is a correspondences file ( c option).
Fengchen Joins The Netsyn Lab Netσyn Lab Netsyn fills the gap left by current methods based solely on sequence similarity or active site modelling, such as asmc, for calculating groups of isofunctional proteins 533 regardless of the taxonomic rank of the organism to which they belong. Starting from a set of protein sequences of interest, netsyn retrieves neighbouring genes from the corresponding genomes as well as their protein sequence. homologous protein families are then computed to measure synteny conservation between each pair of input sequences using a gc score. NetΣyn lab's research aims at making all those networks secure, reliable, and performant. to do so, we go beyond traditional discipline barriers and apply various techniques and technologies including measurements, machine learning, data processing, and hardware. interested in working with us?. Diversity & non discrimination accessibility help © 2026 the trustees of princeton university.
Netsyn Lab NetΣyn lab's research aims at making all those networks secure, reliable, and performant. to do so, we go beyond traditional discipline barriers and apply various techniques and technologies including measurements, machine learning, data processing, and hardware. interested in working with us?. Diversity & non discrimination accessibility help © 2026 the trustees of princeton university. We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. Making logic a first class citizen in network data generation with ml.
Netsyn Lab We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. We showed that netsyn is efficient in exploring large protein families to define iso functional groups. it can also highlight functional interactions between proteins from different families and predicts new conserved genomic structures that have not yet been experimentally characterised. Making logic a first class citizen in network data generation with ml.
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