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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Tiago Schiavon Guilherme Paim Mateus Fonseca Eduardo Costa Sergio Almeida Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil Electronic Engineering - Engineering Center (CEng) Federal University of Pelotas (UFPel) Graduate Program on Health and behavior Catholic University of Pelotas (UCPel)

This paper proposes the use of efficient adder compressors for the power-efficient 2-D Discrete Cosine Transform (DCT) implementation. Due to the increasing use of the discrete transforms in image compression, and its dedicated hardware design, the search for efficient and fast approaches to the DCTs reached a special place in the state-of-art researches. The DCT is an approximation of the cosine function, whose resultant matrix is only composed of 0 and 1 values. Therefore, the DCT can be easily implemented using only adders and subtractors rather than general purpose multipliers. In this work we use combinations of efficient 4-2 and 8-2 adder compressors for the state-of-the approximate DCT implementations. The approximate DCT performance combined with its lower computational effort makes this transform an excellent choice to be applied to dedicated hardware for image compression. We present an environment for the synthesis of the DCTs in Cadence Encounter RTL Compiler tool. The synthesis reports are based on a set of true images as input vectors in order to obtain valid power results. The results show that the hardwired state-of-the-art approximate DCT solutions, with adder compressors, minimizes both cells area and power consumption with good overall quality images.

关键词： Discrete cosine transforms Adders Compressors Image coding Hardware Computer architecture

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Power-efficient sum of absolute differences architecture using adder compressors

Power-efficient sum of absolute differences architecture usi...

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IEEE International Conference on electronics, Circuits and Systems (ICECS)

作者： Bianca Silveira Guilherme Paim Cláudio M. Diniz Eduardo A. C. da Costa Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Electronic Engineering - Engineering Center (CEng) Federal University of Pelotas (UFPel) Pelotas Brazil

ISBN: (纸本)9781509061143

The calculation of the Sum of Absolute Differences (SAD) is one of the most time-consuming operations of the video encoder compatible with the new High Efficiency Video Coding (HEVC) standard. SAD hardware architecture employs an adder tree to accumulate the coefficients from absolute difference between two video blocks. This paper proposes the exploration of the different adder compressors structures in the SAD hardware architecture. The architectures were synthesized to 45nm standard cells. Synthesis results show that SAD architecture with adder compressors with Kogge-Stone adders in the recombination line reduces power dissipation in 60.8% on average when compared with SAD architecture using conventional adders from the synthesis tool.

关键词： Adders Compressors Computer architecture Hardware Video sequences Power dissipation Standards

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Design of optimized radix-2 and radix-4 butterflies from FFT with decimation in time

Design of optimized radix-2 and radix-4 butterflies from FFT...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Renato Neuenfeld Mateus Fonseca Eduardo Costa Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil Engineering Center Federal University of Pelotas (UFPel) Pelotas Brazil

In the FFT computation, the butterflies play a central role, since they allow calculation of complex terms. In this calculation, involving multiplications of input data with appropriate coefficients, the optimization of the butterfly can contribute for the reduction of power consumption of FFT architectures. In this paper different and dedicated structures for the 16 bit-width radix-2 and radix-4 DIT butterflies are implemented, where the main goal is to minimize the number of arithmetic operators in order to produce power-efficient structures. Firstly, we improve a radix-2 butterfly previously presented in literature, reducing one adder and one subtractor in the structure. After that, part of this optimized radix-2 butterfly is used to reduce the number of real multipliers in the radix-4 butterfly. The main results show that the optimization guarantees reduced power consumption for radix-2 butterfly, when compared with previous works from the literature. Moreover, the use of part of the optimized radix-2 into the radix-4 structure leads to the reduction of power consumption for this structure.

关键词： Computer architecture Adders Optimization Power demand Delays Microprocessors

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Exploiting architectural solutions for IIR filter architecture with truncation error feedback

Exploiting architectural solutions for IIR filter architectu...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Gustavo Ott Eduardo Costa Sergio Almeida Mateus Fonseca Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil Engineering Center Federal University of Pelotas (UFPel) Pelotas Brazil

Digital filters are widely used in digital systems, which can make use of integer arithmetic to achieve higher performance. The use of integer operands can compromise the filter operation, due to the inherently error caused by truncation operations. Addressing this kind of problem, we propose an IIR filter for biomedical signals using the truncation error feedback (TEF), in which a feedback signal is obtained from the division remainder of the truncation operation. Two dedicated fully-sequential and parallel architectures were implemented and simulated using VHDL language, and synthesized in Cadence environment using the 45 nm Nangate Open Cell Library. A simulated ECG signal was used as input to verify the functionality of an IIR high pass filter with TEF. The results of our analysis indicate that the use of TEF can be an important approach in digital systems, where integer arithmetic for computation is adequate for performance requirements. Using this feedback signal, the design specifications of the filter remained significantly the same compared to the filter specification, independently of the cut-off and sample frequency ratio.

关键词： Finite wordlength effects Electrocardiography Cutoff frequency Computer architecture MATLAB Quantization (signal)

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A power-efficient imprecise radix-4 multiplier applied to high resolution audio processing

A power-efficient imprecise radix-4 multiplier applied to hi...

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IEEE International Conference on electronics, Circuits and Systems (ICECS)

作者： Guilherme Paim Leonardo Soares Julio F. R. Oliveira Eduardo Costa Sergio Bampi Electronic Engineering - Engineering Center (CEng) Federal University of Pelotas (UFPel) Graduate Program in Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil

ISBN: (纸本)9781509061143

This paper presents an power-efficient imprecise radix-4 multiplier applied to filtering Hi-Res (High Resolution) audio. The proposed multiplier was based on an imprecise 2×2 (m=2) multiplication block in order to implement optimized 2's complement radix-2 m array multipliers. The imprecise 2×2 multiplication block was previously proposed in literature, and presents as main characteristic a tunable error that enables the building of an imprecise radix-4 multiplier with a reduced number of logic gates. Since in the radix-2 m multiplier architecture the operands are split into groups of m bits, then, the m=2 imprecise multiplier is used as a basic component in its structure. Our work deals with different levels of approximation in the radix-2 m multiplier. We present four different approximate radix-4 multipliers architectures to be used in sequential FIR filters implemented in hardware. The filters are described in VHDL and synthesized for ASIC in Cadence RTL Compiler tool using Nangate 45nm standard cells. The power reports are evaluated using real input vectors from Hi-Res audio sequences in order to obtain valid power dissipation results. The imprecise FIR filters present area and power reductions of up to 5.7% and 12.5% when compared to the precise designs without compromising the Signal to Noise Ratio (SNR) of recorded 24-bit@192kHz Hi-Res audio signals.

关键词： Finite impulse response filters Signal to noise ratio Computer architecture Logic gates MATLAB Periodic structures Power dissipation

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A novel pruned-based algorithm for energy-efficient SATD operation in the HEVC coding

A novel pruned-based algorithm for energy-efficient SATD ope...

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Symposium on Integrated Circuits and Systems Design (SBCCI)

作者： Leonardo Bandeira Soares Cláudio Machado Diniz Eduardo Antonio César da Costa Sergio Bampi Graduate Program on Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing (PPGEEC) Catholic University of Pelotas (UCPEL) Pelotas Brazil

This paper proposes a novel approximate computing algorithm for the Sum of Absolute Transformed Differences (SATD) to meet energy efficiency in CMOS accelerator circuits. It is based on the pruning of least significant coefficients in the 2-D Hadamard Transform (HT) which is the most compute intensive kernel in the SATD. The SATD is a metric for block matching that is used in video coding standards like the new High Efficiency Video Coding (HEVC). This metric is used to provide better results in mode decision when compared to the Sum of Absolute Differences (SAD) at the expense of larger amount of arithmetic operations as well as higher energy consumption. We present 6 different approximate SATD 4×4 architectures that were synthesized for a 45 nm PDK. Results for the approximate architecture with 10 discarded HT coefficients show energy per operation reduction of 70.7% and BD-PSNR reduction of just -0.008 dB, for a 1080p video sequence.

关键词： Transforms Approximation algorithms Computer architecture Energy efficiency Video coding Computational efficiency Approximate computing

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Overview of KAGRA : Data transfer and management

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Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

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Exploiting approximate adder circuits for power-efficient Gaussian and Gradient filters for Canny edge detector algorithm

Exploiting approximate adder circuits for power-efficient Ga...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Julio de Oliveira Leonardo Soares Eduardo Costa Sergio Bampi Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil Graduare Program on Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil

This paper proposes the exploration of approximate adders for the implementation of power-efficient Gaussian and Gradient filters for Image Processing. The Gaussian filter is a convolution operator which is used to blur images and to remove noise. On the other hand, the Gradient of an image measures how it is changing. Both blocks can be designed in hardware using only shifts and additions. In this work we exploit a set of approximate adders in order to implement energy-efficient filters. The tree of adders of Gaussian and Gradient filters are implemented using one RCA-based approximate adder, as well as an Error-Tolerant Adder ETAI. The approximate architectures are compared to the best precise implementation of the filters. As the Gaussian and Gradient blocks are part of the Canny edge detector algorithm, we have implemented the adder trees of the filters aiming this application. Our main results show that for an efficient power realization of this algorithm, the best strategy consists in the implementation of the Gaussian filter with ETA I adder, and the Gradient filter with the RCA-based adder.

关键词： Adders Filtering algorithms Image edge detection Computer architecture Detectors Kernel

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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

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NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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Genomic basis for RNA alterations in cancer (vol 578, pg 129, 2020)

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NATURE 2023年第7948期614卷 E37-E37页

作者： Calabrese, Claudia Davidson, Natalie R. Demircioglu, Deniz Fonseca, Nuno A. He, Yao Lehmann, Kjong-Van Liu, Fenglin Shiraishi, Yuichi Soulette, Cameron M. Urban, Lara Greger, Liliana Li, Siliang Liu, Dongbing Perry, Marc D. Xiang, Qian Zhang, Fan Zhang, Junjun Bailey, Peter Erkek, Serap Hoadley, Katherine A. Hou, Yong Huska, Matthew R. Kilpinen, Helena Korbel, Jan O. Marin, Maximillian G. Markowski, Julia Nandi, Tannistha Pan-Hammarstrom, Qiang Pedamallu, Chandra Sekhar Siebert, Reiner Stark, Stefan G. Su, Hong Tan, Patrick Waszak, Sebastian M. Yung, Christina Zhu, Shida Awadalla, Philip Creighton, Chad J. Meyerson, Matthew Ouellette, B. F. Francis Wu, Kui Yang, Huanming Brazma, Alvis Brooks, Angela N. Goke, Jonathan Ratsch, Gunnar Schwarz, Roland F. Stegle, Oliver Zhang, Zemin European Molecular Biology Laboratory European Bioinformatics Institute Hinxton UK European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany CIBIO/InBIO - Research Center in Biodiversity and Genetic Resources Universidade do Porto Vairão Portugal Berlin Institute for Medical Systems Biology Max Delbruck Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) partner site Berlin Germany German Cancer Research Center (DKFZ) Heidelberg Germany Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) Partner site Berlin Berlin Germany European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Division of Computational Genomics and Systems Genetics German Cancer Research Center (DKFZ) Heidelberg Germany ETH Zurich Zurich Switzerland Memorial Sloan Kettering Cancer Center New York NY USA Weill Cornell Medical College New York NY USA SIB Swiss Institute of Bioinformatics Lausanne Switzerland University Hospital Zurich Zurich Switzerland Computational Biology Center Memorial Sloan Kettering Cancer Center New York NY USA Department of Biology ETH Zurich Zürich Switzerland Department of Computer Science ETH Zurich Zurich Switzerland Korea University Seoul South Korea Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA National University of Singapore Singapore Singapore Genome Institute of Singapore Singapore Singapore Computational and Systems Biology Genome Institute of Singap

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