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The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information.
https://www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html , 2008
Rights (ocr), o. for c. summary of the hipaa privacy rule · 2008
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Primer3—new capabilities and interfaces
Andreas Untergasser, Ioana Cutcutache, Triinu Koressaar, Jian Ye, Brant C Faircloth, Maido Remm, and Steven G Rozen · 2012
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Crispr-mediated modular rna-guided regulation of transcription in eukaryotes
Luke A Gilbert, Matthew H Larson, Leonardo Morsut, Zairan Liu, Gloria A Brar, Sandra E Torres, Noam Stern-Ginossar, Onn Brandman, Evan H Whitehead, Jennifer A Doudna, et al · 2013
Earlier work this paper cites.
Optical control of mammalian endogenous transcription and epigenetic states
Silvana Konermann, Mark D Brigham, Alexandro E Trevino, Patrick D Hsu, Matthias Heidenreich, Le Cong, Randall J Platt, David A Scott, George M Church, and Feng Zhang · 2013
Earlier work this paper cites.
Crispr rna–guided activation of endogenous human genes
Morgan L Maeder, Samantha J Linder, Vincent M Cascio, Yanfang Fu, Quan H Ho, and J Keith Joung · 2013
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Cas9 as a versatile tool for engineering biology
Prashant Mali, Kevin M Esvelt, and George M Church · 2013
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Rna-guided gene activation by crispr-cas9–based transcription factors
Pablo Perez-Pinera, D Dewran Kocak, Christopher M Vockley, Andrew F Adler, Ami M Kabadi, Lauren R Polstein, Pratiksha I Thakore, Katherine A Glass, David G Ousterout, Kam W Leong, et al · 2013
Earlier work this paper cites.
Repurposing crispr as an rna-guided platform for sequence-specific control of gene expression
Lei S Qi, Matthew H Larson, Luke A Gilbert, Jennifer A Doudna, Jonathan S Weissman, Adam P Arkin, and Wendell A Lim · 2013
Earlier work this paper cites.
Genome engineering using the crispr-cas9 system
FAFA Ran, Patrick D Hsu, Jason Wright, Vineeta Agarwala, David A Scott, and Feng Zhang · 2013
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The new frontier of genome engineering with crispr-cas9
Jennifer A Doudna and Emmanuelle Charpentier · 2014
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Development and applications of crispr-cas9 for genome engineering
Patrick D Hsu, Eric S Lander, and Feng Zhang · 2014
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Crispr-cas systems for editing, regulating and targeting genomes
Jeffry D Sander and J Keith Joung · 2014
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High-throughput functional genomics using crispr–cas9
Ophir Shalem, Neville E Sanjana, and Feng Zhang · 2015
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Optimized sgrna design to maximize activity and minimize off-target effects of crispr-cas9
John G Doench, Nicolo Fusi, Meagan Sullender, Mudra Hegde, Emma W Vaimberg, Katherine F Donovan, Ian Smith, Zuzana Tothova, Craig Wilen, Robert Orchard, et al · 2016
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Crispr technology for genome activation and repression in mammalian cells
Dan Du and Lei S Qi · 2016
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Programmable base editing of a• t to g• c in genomic dna without dna cleavage
Nicole M Gaudelli, Alexis C Komor, Holly A Rees, Michael S Packer, Ahmed H Badran, David I Bryson, and David R Liu · 2017
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Deep learning improves prediction of crispr–cpf1 guide rna activity
Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon, and Hyongbum Kim · 2018
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Optimized libraries for crispr-cas9 genetic screens with multiple modalities
Kendall R Sanson, Ruth E Hanna, Mudra Hegde, Katherine F Donovan, Christine Strand, Meagan E Sullender, Emma W Vaimberg, Amy Goodale, David E Root, Federica Piccioni, et al · 2018
Earlier work this paper cites.
Search-and-replace genome editing without double-strand breaks or donor dna
Andrew V Anzalone, Peyton B Randolph, Jessie R Davis, Alexander A Sousa, Luke W Koblan, Jonathan M Levy, Peter J Chen, Christopher Wilson, Gregory A Newby, Aditya Raguram, et al · 2019
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Generating single cell–derived knockout clones in mammalian cells with crispr/cas9
Christopher J Giuliano, Ann Lin, Vishruth Girish, and Jason M Sheltzer · 2019
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Adopt a moratorium on heritable genome editing
Eric S Lander, Françoise Baylis, Feng Zhang, Emmanuelle Charpentier, Paul Berg, Catherine Bourgain, Bärbel Friedrich, J Keith Joung, Jinsong Li, David Liu, et al · 2019
Cited alongside, same era.
The next generation of crispr–cas technologies and applications
Adrian Pickar-Oliver and Charles A Gersbach · 2019
Cited alongside, same era.
Genome editing with crispr–cas nucleases, base editors, transposases and prime editors
Andrew V Anzalone, Luke W Koblan, and David R Liu · 2020
Cited alongside, same era.
Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, et al · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
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Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes · 2023
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Chemcrow: Augmenting large-language models with chemistry tools
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Crispritz: rapid, high-throughput and variant-aware in silico off-target site identification for crispr genome editing
Samuele Cancellieri, Matthew C Canver, Nicola Bombieri, Rosalba Giugno, and Luca Pinello · 2020
Cited alongside, same era.
A web tool for the design of prime-editing guide rnas
Ryan D Chow, Jennifer S Chen, Johanna Shen, and Sidi Chen · 2021
Cited alongside, same era.
Optimization of ascas12a for combinatorial genetic screens in human cells
Peter C DeWeirdt, Kendall R Sanson, Annabel K Sangree, Mudra Hegde, Ruth E Hanna, Marissa N Feeley, Audrey L Griffith, Teng Teng, Samantha M Borys, Christine Strand, et al · 2021
Cited alongside, same era.
Massively parallel assessment of human variants with base editor screens
Ruth E Hanna, Mudra Hegde, Christian R Fagre, Peter C DeWeirdt, Annabel K Sangree, Zsofia Szegletes, Audrey Griffith, Marissa N Feeley, Kendall R Sanson, Yossef Baidi, et al · 2021
Cited alongside, same era.
Precision genome editing using cytosine and adenine base editors in mammalian cells
Tony P Huang, Gregory A Newby, and David R Liu · 2021
Cited alongside, same era.
Pe-designer and pe-analyzer: web-based design and analysis tools for crispr prime editing
Gue-Ho Hwang, You Kyeong Jeong, Omer Habib, Sung-Ah Hong, Kayeong Lim, Jin-Soo Kim, and Sangsu Bae · 2021
Cited alongside, same era.
Automated design of crispr prime editors for 56,000 human pathogenic variants
John A Morris, Jahan A Rahman, Xinyi Guo, and Neville E Sanjana · 2021
Cited alongside, same era.
Andres M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller · 2023
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Large language models as tool makers
Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, and Denny Zhou · 2023
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
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Gorilla: Large language model connected with massive apis
Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
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Voyager: An open-ended embodied agent with large language models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
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Large language models as optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le, Denny Zhou, and Xinyun Chen · 2023
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Toolkengpt: Augmenting frozen language models with massive tools via tool embeddings
Shibo Hao, Tianyang Liu, Zhen Wang, and Zhiting Hu · 2024
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Cancergpt for few shot drug pair synergy prediction using large pretrained language models
Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, and Yejin Kim · 2024
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Modular vector assembly enables rapid assessment of emerging crispr technologies
Abby V McGee, Yanjing V Liu, Audrey L Griffith, Zsofia M Szegletes, Bronte Wen, Carolyn Kraus, Nathan W Miller, Ryan J Steger, Berta Escude Velasco, Justin A Bosch, et al · 2024
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Eric Hambro, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2024
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Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2024
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