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George M Church G M
654Publications
135H-index
67.8kCitations
Publications 654
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#1Tim K. MackeyH-Index: 21
#2Tsung-Ting Kuo (UCSD: University of California, San Diego)H-Index: 12
Last.Maria PalombiniH-Index: 1
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Blockchain is a shared distributed digital ledger technology that can better facilitate data management, provenance and security, and has the potential to transform healthcare. Importantly, blockchain represents a data architecture, whose application goes far beyond Bitcoin – the cryptocurrency that relies on blockchain and has popularized the technology. In the health sector, blockchain is being aggressively explored by various stakeholders to optimize business processes, lower costs, improve p...
#1Henry H. Lee (Wyss Institute for Biologically Inspired Engineering)H-Index: 5
#2Reza Kalhor (Wyss Institute for Biologically Inspired Engineering)H-Index: 12
Last.George M Church G M (Wyss Institute for Biologically Inspired Engineering)H-Index: 135
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DNA is an emerging medium for digital data and its adoption can be accelerated by synthesis processes specialized for storage applications. Here, we describe a de novo enzymatic synthesis strategy designed for data storage which harnesses the template-independent polymerase terminal deoxynucleotidyl transferase (TdT) in kinetically controlled conditions. Information is stored in transitions between non-identical nucleotides of DNA strands. To produce strands representing user-defined content, nu...
#1Emilie S. Zoltick (BU: Boston University)H-Index: 4
#2Michael D. Linderman (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 21
Last.Amy L. McGuire (BCM: Baylor College of Medicine)H-Index: 40
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Increasing numbers of healthy individuals are undergoing predispositional personal genome sequencing. Here we describe the design and early outcomes of the PeopleSeq Consortium, a multi-cohort collaboration of predispositional genome sequencing projects, which is examining the medical, behavioral, and economic outcomes of returning genomic sequencing information to healthy individuals. Apparently healthy adults who participated in four of the sequencing projects in the Consortium were included. ...
#1Ethan C. Alley (Wyss Institute for Biologically Inspired Engineering)
#2Grigory KhimulyaH-Index: 1
Last.George M Church G M (Wyss Institute for Biologically Inspired Engineering)H-Index: 135
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Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabeled amino-acid sequences to distill the fundamental features of a protein into a statistical representation that is semantically rich and structurally, evolutionarily and biophysically grounded. We show that the simplest models built on top of this unified representation (UniRep) are broadly applicable and generalize to unseen regions of sequence space. Our data-driven approa...
#1Shilpa Garg (Harvard University)H-Index: 4
Last.Jay GhuryeH-Index: 4
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Haplotype-resolved or phased sequence assembly provides a complete picture of genomes and complex genetic variations. However, current phased assembly algorithms either fail to generate chromosome-scale phasing or require pedigree information, which limits their application. We present a method that leverages long accurate reads and long-range conformation data for single individuals to generate chromosome-scale phased assembly within a day. Applied to three public human genomes, PGP1, HG002, an...
#1Evan AppletonH-Index: 5
#2Noushin Mehdipour (BU: Boston University)H-Index: 1
Last.Calin Belta (BU: Boston University)H-Index: 36
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Multi-cellular organisms originate from a single cell, ultimately giving rise to mature organisms of heterogeneous cell type composition in complex structures. Recent work in the areas of stem cell biology and tissue engineering have laid major groundwork in the ability to convert certain types of cells into other types, but there has been limited progress in the ability to control the morphology of cellular masses as they grow. Contemporary approaches to this problem have included the use of ar...
#1Dennis Grishin (Harvard University)H-Index: 4
#2Jean Louis Raisaro (UNIL: University of Lausanne)
Last.George M Church G M (Harvard University)H-Index: 135
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The growing number of health-data breaches, the use of genomic databases for law enforcement purposes and the lack of transparency of personal-genomics companies are raising unprecedented privacy concerns. To enable a secure exploration of genomic datasets with controlled and transparent data access, we propose a novel approach that combines cryptographic privacy-preserving technologies, such as homomorphic encryption and secure multi-party computation, with the auditability of blockchains. This...
#1Dennis Grishin (Harvard University)H-Index: 4
#2Kamal ObbadH-Index: 1
Last.George M Church G M (Harvard University)H-Index: 135
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#1Dennis Grishin (Harvard University)H-Index: 4
#2Kamal ObbadH-Index: 1
Last.George M Church G M (Harvard University)H-Index: 135
view all 3 authors...
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