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DEEP GENOMICS INCORPORATED

Overview
  • Total Patents
    44
  • GoodIP Patent Rank
    34,185
  • Filing trend
    ⇧ 250.0%
About

DEEP GENOMICS INCORPORATED has a total of 44 patent applications. It increased the IP activity by 250.0%. Its first patent ever was published in 2015. It filed its patents most often in WIPO (World Intellectual Property Organization), United States and Canada. Its main competitors in its focus markets computer technology, biotechnology and pharmaceuticals are CODEXIS MAYFLOWER HOLDINGS LLC, NEW YORK GENOME CENTER INC and BIOMARKER TECH CO LTD.

Patent filings per year

Chart showing DEEP GENOMICS INCORPORATEDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Frey Brendan 24
#2 Merico Daniele 14
#3 Xiong Hui Yuan 14
#4 Wienholds Erno 12
#5 Delong Andrew 10
#6 O'Hara Matthew 9
#7 Schmitges Frank 9
#8 Bretschneider Hannes 7
#9 Delong Andrew Thomas 6
#10 Frey Brendan John 4

Latest patents

Publication Filing date Title
WO2021007654A1 Oligonucleotide therapy for stargardt disease
WO2020237391A1 Oligonucleotide therapy for wolman disease and cholesteryl ester storage disease
WO2020172755A1 Ligand clusters and methods of their use and preparation
WO2020037415A1 Therapeutic splice-switching oligonucleotides
CA3107649A1 Systems and methods for determining effects of therapies and genetic variation on polyadenylation site selection
AU2019222767A1 Oligonucleotide therapy for Wilson disease
CA3056303A1 Systems and methods for determining effects of genetic variation on splice site selection
US2018107927A1 Architectures for training neural networks using biological sequences, conservation, and molecular phenotypes
WO2018006152A1 Systems and methods for generating and training convolutional neural networks using biological sequences and relevance scores derived from structural, biochemical, population and evolutionary data
WO2017193198A1 Neural network architectures for scoring and visualizing biological sequence variations using molecular phenotype, and systems and methods therefor
CA3022907A1 Methods and systems for producing an expanded training set for machine learning using biological sequences
WO2016145516A1 System and method for training neural networks
US2016364522A1 Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network
CA2894317A1 Systems and methods for classifying, proiritizing and interpreting genetic variants and therapies using a deep neural network