Jennifer Listgarten
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Explore the profile of Jennifer Listgarten including associated specialties, affiliations and a list of published articles.
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52
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4707
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Recent Articles
1.
Jagota M, Hsu C, Mazumder T, Sung K, DeWitt W, Listgarten J, et al.
bioRxiv
. 2024 Nov;
PMID: 39484623
Antibodies and B-cell receptors (BCRs) are produced by B cells, and are built of a heavy chain and a light chain. Although each B cell could express two different heavy...
2.
Marti J, Hsu C, Rochereau C, Xu C, Blazejewski T, Nisonoff H, et al.
Bioinformatics
. 2024 Jun;
40(7).
PMID: 38905502
Summary: The design of two overlapping genes in a microbial genome is an emerging technique for adding more reliable control mechanisms in engineered organisms for increased stability. The design of...
3.
Yao B, Hsu C, Goldner G, Michaeli Y, Ebenstein Y, Listgarten J
Open Biol
. 2024 Jun;
14(6):230449.
PMID: 38862018
Nanopore sequencing platforms combined with supervised machine learning (ML) have been effective at detecting base modifications in DNA such as 5-methylcytosine (5mC) and N6-methyladenine (6mA). These ML-based nanopore callers have...
4.
Guo J, Lin L, Oraskovich S, Rivera de Jesus J, Listgarten J, Schaffer D
Trends Biochem Sci
. 2024 Mar;
49(5):457-469.
PMID: 38531696
Gene delivery vehicles based on adeno-associated viruses (AAVs) are enabling increasing success in human clinical trials, and they offer the promise of treating a broad spectrum of both genetic and...
5.
Hsu C, Fannjiang C, Listgarten J
Nat Biotechnol
. 2024 Feb;
42(2):196-199.
PMID: 38361069
No abstract available.
6.
7.
Zhu D, Brookes D, Busia A, Carneiro A, Fannjiang C, Popova G, et al.
Sci Adv
. 2024 Jan;
10(4):eadj3786.
PMID: 38266077
Adeno-associated viruses (AAVs) hold tremendous promise as delivery vectors for gene therapies. AAVs have been successfully engineered-for instance, for more efficient and/or cell-specific delivery to numerous tissues-by creating large, diverse...
8.
Fannjiang C, Listgarten J
Cold Spring Harb Perspect Biol
. 2023 Dec;
16(2).
PMID: 38052497
Machine learning-based design has gained traction in the sciences, most notably in the design of small molecules, materials, and proteins, with societal applications ranging from drug development and plastic degradation...
9.
Nisonoff H, Wang Y, Listgarten J
ACS Synth Biol
. 2023 Oct;
12(11):3242-3251.
PMID: 37888887
Predicting properties of proteins is of interest for basic biological understanding and protein engineering alike. Increasingly, machine learning (ML) approaches are being used for this task. However, the accuracy of...
10.
Busia A, Listgarten J
Genome Biol
. 2023 Oct;
24(1):218.
PMID: 37784130
Characterizing differences in sequences between two conditions, such as with and without drug exposure, using high-throughput sequencing data is a prevalent problem involving quantifying changes in sequence abundances, and predicting...