Com Express模块conga-TCR8 产品简介 支持高达8个Zen 4核 AMD Radeon™RDNA™3显卡 AMD-XDNA™NPU 支持高达128GB RAM(ECC可选) TDP范围为15W至54W 板载NVMe™SSD(可选) 产品特点 COM Express Type 6 AMD Ryzen™m 8000系列处理器 PCI Express Gen4...
conga-TCR8 Up to 8 Zen 4 cores AMD Radeon™ RDNA™ 3 Graphics AMD XDNA™ NPU Up to 96 GB RAM (optional with ECC) TDP Range from 15W to 54W Onboard NVMe™ SSD (option) DetailsRequest quote conga-TC700 Intel®Core™ Ultra processors ...
如今,在一项新的研究中,来自美国弗雷德-哈钦森癌症研究中心、圣犹大儿童研究医院、10X基因组学公司和南加州大学的研究人员开发出一种称为CoNGA(clonotype neighbor graph analysis, 克隆型邻接图分析)的新型计算方法,它可能有助于人们关注将T细胞受体(TCR)基因序列和T细胞功能相关联在一起的隐藏生物模式。此外,利用CoNGA,...
AMD XDNA™ NPU Up to 96 GB RAM (optional with ECC) TDP Range from 15W to 54W Onboard NVMe™ SSD (option) DetailsRequest quote Up to 96 GB DDR5 with in-band ECC Built-in Intel®Arc™ GPU Integrated Intel®AI Boost NPU ...
例如,我们的每个T细胞都表达一种独特的T细胞受体(TCR),这使得CD8+ T细胞能够特异性地靶向并杀死肿瘤细胞或感染细胞。每个独特的TCR只能识别和响应理论上数万亿的少量短肽序列。这些短肽来自于细胞内被切割的循环蛋白质,并装载到主要组织相容性复合体(MHC)中,将它们带到T细胞可以看到它们的细胞表面。
研究人员开发出一种称为CoNGA的新型计算方法,它可能有助于人们关注将T细胞受体(TCR)基因序列和T细胞功能相关联在一起的隐藏生物模式。此外,利用CoNGA,他们可以分析从单个T细胞中收集到的复杂数据,以揭示新的T细胞群体,并揭示塑造T细胞发育的TCR特征。 2021年9月5日讯/生物谷BIOON/---免疫细胞有许多工作要做:一些细胞...
Congatec has released a new line of Ryzen Embedded 8000-powered COM Express Type 6 Compact computer-on-modules with the conga-TCR8 module series offering up to 39 tera operations per second (TOPS) for AI inference and 128GB of DDR5-5600 memory with error correction code (ECC) for data-...
20kAccesses 63Citations 159Altmetric Metrics Abstract Links between T cell clonotypes, as defined by T cell receptor (TCR) sequences, and phenotype, as reflected in gene expression (GEX) profiles, surface protein expression and peptide:major histocompatibility complex binding, can reveal functional re...
From Unsung Hero to Award-Winning Star: congatec’s conga‑TCR8 Takes the Spotlight In a previous post, I discussed the AMD Ryzen™ Embedded 8000 as an unsung hero in the embedded syste... Read more Who needs muscles when you have brains? Have you ever tried not to hear or read ...
TCR convergenceAdvances in single-cell technologies have made it possible to simultaneously quantify gene expression and immune receptor sequence across thousands of individual T or B cells in a single experiment. Data from such experiments are advancing our understanding of the relationship between ...