{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-09-28T06:03:00.468Z","headline":"DeepMind 发布 AlphaGenome Atlas，预测人类基因组约 90 亿种单碱基突变的影响","description":"Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。","url":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","mainEntityOfPage":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","datePublished":"2026-09-09T13:40:40.000Z","dateModified":"2026-09-09T13:40:40.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://the-decoder.com/deepminds-alphagenome-atlas-maps-every-possible-dna-change-in-the-human-genome","https://aihot.news/items/cmtu5ycjs10dprofptxhkbenw"],"canonicalUrl":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。 Aioga 将其归入「行业动态」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","dateCreated":"2026-09-09T13:40:40.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"the-decoder.com source article","url":"https://the-decoder.com/deepminds-alphagenome-atlas-maps-every-possible-dna-change-in-the-human-genome","datePublished":"2026-09-09T13:40:40.000Z","provider":{"@type":"Organization","name":"the-decoder.com","url":"https://the-decoder.com/deepminds-alphagenome-atlas-maps-every-possible-dna-change-in-the-human-genome"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.news/items/cmtu5ycjs10dprofptxhkbenw","datePublished":"2026-09-09T13:40:40.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.news/items/cmtu5ycjs10dprofptxhkbenw"}}],"aggregationSource":"The Decoder：AI News（RSS）","originalPublisher":{"name":"the-decoder.com","url":"https://the-decoder.com/deepminds-alphagenome-atlas-maps-every-possible-dna-change-in-the-human-genome"},"geoDeepAnswer":null,"article":{"id":"cmtu5ycjs10dprofptxhkbenw","slug":"cmtu5ycjs10dprofptxhkbenw","url":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","title":"DeepMind 发布 AlphaGenome Atlas，预测人类基因组约 90 亿种单碱基突变的影响","title_en":"","summary":"Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。","source":"The Decoder：AI News（RSS）","sourceUrl":"https://the-decoder.com/deepminds-alphagenome-atlas-maps-every-possible-dna-change-in-the-human-genome","aiHotUrl":"https://aihot.news/items/cmtu5ycjs10dprofptxhkbenw","publishedAt":"2026-09-09T13:40:40.000Z","category":"行业动态","score":58,"selected":false,"articleBody":["Google Deepmind has predicted what each of the roughly nine billion possible single-letter changes in the human genome would likely do inside the body. The AlphaGenome Atlas aims to help researchers spot the few relevant variants among a flood of genetic ones.","The human genome runs to about three billion DNA letters. Every person carries millions of tiny deviations from the reference sequence, usually a single swapped letter. Most of these variants are harmless. A few cause disease. Which ones can't be read directly from the DNA, and testing every one in the lab is basically impossible when there are roughly nine billion possible swaps.","The newly released AlphaGenome Atlas tries to fill that gap with predictions. For each of those nine billion changes, it offers an estimate of how the change would likely affect molecular processes across hundreds of cell types and tissues. The dataset spans one petabyte, making it more than 30 times the size of the AlphaFold database for protein structures.","It builds on the AI model AlphaGenome：https://the-decoder.com/deepminds-alphagenome-predicts-how-small-dna-changes-affect-genes/, introduced in 2025. The model reads DNA stretches one million letters long and predicts how strongly a gene gets read, whether regulatory proteins can bind to the DNA, and how a gene's transcript gets spliced. Until now, the model had to be queried for each variant one at a time. Now the answers are precomputed. According to the paper：https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf, each variant comes with about 27,000 individual prediction values on average.","That matters most for the roughly 98 percent of the genome that holds no blueprints for proteins. These noncoding regions act like switches and dials that decide when and in which tissue a gene is active. That's where most disease-linked variants sit, and it's also where their effects have been hardest to read.","Thousands of prediction values per variant are too much for everyday use, the team says. So Deepmind built the AlphaGenome Variant Impact Score (AVI), which boils it all down to a single number. A small neural network combines the AlphaGenome predictions with the protein model AlphaMissense and two measures of how unchanged a DNA site has stayed across millions of years of evolution. AVI works with 18 input features. The established benchmark tool CADD uses more than 150.","For almost no variant is it known for sure whether it causes harm. The team worked around this. Variants that are very rare in the population are treated as likely harmful, common ones as likely harmless, because harmful mutations spread less often across generations. Despite this indirect training, AVI beat existing tools in tests on variants that had already been clinically classified, especially in noncoding regions, according to the paper. On some tasks, the competition edged ahead. The atlas also breaks down for each variant which process drives its score, such as whether the splicing of a gene's transcript or a switch is affected.","A case from the GREGoR consortium, which studies unsolved rare diseases, shows how this helps in practice. A child with severe epilepsy had gone without a diagnosis despite genome sequencing. AVI pushed a variant in the gene DNM1, previously classed as unclear, to the top of the candidate list.","The AlphaGenome predictions also supplied the mechanism. The variant creates a wrong splice site during the processing of the gene's transcript, which lengthens the protein by 13 building blocks. But this happens only in a gene version that is read exclusively in the brain. That's why earlier work on blood samples had found nothing.","A lab experiment confirmed the prediction, and the researchers recommend classifying it as likely disease-causing. Looking back at cases the consortium had already solved, AVI ranked the causal variant among the top 50 candidates in 29.5 percent of cases, compared with 12.5 percent for CADD.","The atlas is also meant to push population studies forward. To find out whether rare variants in a genome region affect something like a blood value, you have to analyze many of them together, because each one alone is too rare for statistics. If harmless and effective variants get mixed together, the signal disappears in the noise.","Gareth Hawkes of the University of Exeter used the atlas to group only those variants predicted to act the same way, drawing on genome data from more than 54,000 UK Biobank participants. That turned up 22 percent more links between noncoding variants and protein levels in the blood than conventional filters did.","From the predictions, the team also derived 2,601 recurring short DNA patterns, essentially the \"words\" of the genome where regulatory proteins latch on.","AlphaGenome has limits too. It doesn't know every cell type, and it misses effects that work through the amount of other regulatory proteins. The atlas and AVI are research tools, Deepmind says, and can only be one link in the chain of evidence behind a diagnosis.","The atlas is available for noncommercial use through a web portal：https://alphagenome.google/atlas, an API：https://github.com/google-deepmind/alphagenome, and as a skill in Google Antigravity：https://antigravity.google/use-cases/science. A commercial version is set to follow through Google Cloud.","Stay in the loop on AI. Clear, useful, no fluff.","Follow The Decoder for AI news, background stories and expert analyses.","The Decoder：https://the-decoder.com/"],"articleImages":[{"sourceUrl":"https://the-decoder.com/wp-content/uploads/2026/09/AlphaGenome-Atlas-title-scaled.webp","alt":"Image description","afterParagraph":0,"url":"/media/articles/cmtu5ycjs10dprofptxhkbenw/08f849b38f3cfcb8.webp"}],"mediaStatus":"ok","articleBodyZh":["谷歌DeepMind已经预测了人类基因组中大约九十亿种可能的单个字母变化在体内可能产生的影响。AlphaGenome Atlas旨在帮助研究人员在大量基因变异中识别出少数相关的变异。","人类基因组大约有三十亿个DNA字母。每个人都携带有从参考序列上略有偏差的数百万个微小变异，通常是单个字母的替换。大多数变异是无害的，少数会引发疾病。哪些可能致病不能仅从DNA序列直接读取，而且在实验室中测试每一种变异基本上是不可能的，因为可能的替换大约有九十亿种。","新发布的AlphaGenome Atlas试图通过预测来填补这一空白。对于这九十亿种变化中的每一种，它提供了关于这种变化可能如何影响数百种细胞类型和组织的分子过程的估计。该数据集容量达到一拍字节，是蛋白质结构数据库AlphaFold的30倍以上。","它基于2025年推出的人工智能模型AlphaGenome：https://the-decoder.com/deepminds-alphagenome-predicts-how-small-dna-changes-affect-genes/。该模型可以读取长达一百万个字母的DNA片段，预测基因的表达强度、调控蛋白是否能结合DNA以及基因转录本的剪接方式。此前，该模型必须针对每种变异逐一查询。现在答案已被预先计算好。根据论文：https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf，每种变异平均伴随着大约27,000个单独的预测值。","这一点对于大约占98%的基因组区域尤为重要，这些区域并不编码蛋白质。非编码区域像开关和旋钮一样，决定基因何时以及在何种组织中活跃。大多数与疾病相关的变异都位于这些区域，而这些变异的影响也一直是最难解读的。","团队表示，每个变体有成千上万的预测值，对于日常使用来说太多了。因此，DeepMind 构建了 AlphaGenome 变体影响评分（AVI），将所有信息浓缩成一个数字。一个小型神经网络将 AlphaGenome 的预测与蛋白质模型 AlphaMissense 以及两个衡量 DNA 位点在数百万年进化中保持不变的指标结合起来。AVI 使用 18 个输入特征，而既有的基准工具 CADD 使用的特征超过 150 个。","几乎没有哪个变体能确定地知道它是否会造成伤害。团队对此进行了处理。那些在人群中极少出现的变体被视为可能有害，而常见的变体被视为可能无害，因为有害突变在几代中传播较少。尽管采用这种间接训练，AVI 在对已经临床分类的变体进行测试时超过了现有工具，尤其是在非编码区域。根据论文，在某些任务中，竞争工具略微领先。这个图谱还为每个变体细分了是什么过程推动了其评分，例如是基因转录本的剪接还是开关受到影响。","来自 GREGoR 联盟研究未解稀有疾病的一个案例显示了这种方法的实际帮助。一名患有严重癫痫的儿童尽管进行了基因组测序仍未获得诊断。AVI 将基因 DNM1 中之前被分类为不明确的变体排到了候选列表的首位。","AlphaGenome 的预测还提供了机制。该变体在基因转录本处理过程中产生了错误的剪接位点，使蛋白质延长了 13 个构建模块。但这种情况仅发生在大脑中专门表达的基因版本中。这就是为什么早期对血液样本的研究没有发现任何问题。","实验室实验证实了这一预测，研究人员建议将其分类为可能致病。回顾联盟已经解决的病例，AVI 在 29.5% 的情况下将致病变体排在前 50 个候选中，而 CADD 仅为 12.5%。","该图谱还旨在推动人口研究向前发展。为了找出某一基因组区域的罕见变异是否会影响诸如血液指标之类的特征，必须对大量样本进行分析，因为单个变异过于罕见，无法进行统计。如果将无害和有效的变异混合在一起，信号就会淹没在噪声中。","埃克塞特大学的加雷斯·霍克斯使用该图谱仅对那些预测作用相同的变异进行分组，这依赖于来自超过54,000名英国生物样本库参与者的基因组数据。与传统筛选方法相比，这种方法发现非编码变异与血液中蛋白水平之间的关联增加了22%。","根据这些预测，团队还得出了2,601种重复出现的短DNA模式，基本上就是基因组中调控蛋白附着的“词语”。","AlphaGenome也有其局限性。它并不了解每种细胞类型，并且无法捕捉通过其他调控蛋白数量产生效果的作用。DeepMind指出，该图谱和AVI是研究工具，只能作为诊断证据链中的一个环节。","该图谱可通过网页门户供非商业用途使用：https://alphagenome.google/atlas，API：https://github.com/google-deepmind/alphagenome，以及作为Google Antigravity中的一项技能：https://antigravity.google/use-cases/science。商业版本将通过Google Cloud发布。","保持对AI的关注。内容清晰、有用，无冗余。","关注The Decoder获取AI新闻、背景故事和专家分析。","解码器：https://the-decoder.com/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。 Aioga 将其归入「行业动态」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：公司与行业类动态需要放在竞争格局、商业化路径、资本信号和监管环境中观察，单条公告不能代表最终结果。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察官方文件、合作落地、收入或用户信号、竞品动作和监管后续。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-09-28T06:19:15.340Z","sourceHash":"e396c80c8bb58812","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["行业动态","The Decoder：AI News（RSS）"],"translations":{"zh-CN":{"title":"DeepMind 发布 AlphaGenome Atlas，预测人类基因组约 90 亿种单碱基突变的影响","summary":"Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。","category":"行业动态","source":"the-decoder.com","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind 发布 AlphaGenome Atlas，预测人类基因组约 90 亿种单碱基突变的影响 - Aioga AI资讯","description":"Google DeepMind 发布 AlphaGenome Atlas，对人类基因组约 90 亿种可能的单碱基突变预计算影响预测，数据集达 1 PB，超过 AlphaFold 数据库 30 倍以上。","url":"https://www.aioga.com/news/cmtu5ycjs10dprofptxhkbenw/","articleBody":["谷歌DeepMind已经预测了人类基因组中大约九十亿种可能的单个字母变化在体内可能产生的影响。AlphaGenome Atlas旨在帮助研究人员在大量基因变异中识别出少数相关的变异。","人类基因组大约有三十亿个DNA字母。每个人都携带有从参考序列上略有偏差的数百万个微小变异，通常是单个字母的替换。大多数变异是无害的，少数会引发疾病。哪些可能致病不能仅从DNA序列直接读取，而且在实验室中测试每一种变异基本上是不可能的，因为可能的替换大约有九十亿种。","新发布的AlphaGenome Atlas试图通过预测来填补这一空白。对于这九十亿种变化中的每一种，它提供了关于这种变化可能如何影响数百种细胞类型和组织的分子过程的估计。该数据集容量达到一拍字节，是蛋白质结构数据库AlphaFold的30倍以上。","它基于2025年推出的人工智能模型AlphaGenome：https://the-decoder.com/deepminds-alphagenome-predicts-how-small-dna-changes-affect-genes/。该模型可以读取长达一百万个字母的DNA片段，预测基因的表达强度、调控蛋白是否能结合DNA以及基因转录本的剪接方式。此前，该模型必须针对每种变异逐一查询。现在答案已被预先计算好。根据论文：https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/alphagenome-atlas-a-predictive-map-of-every-possible-dna-letter-change-in-the-human-genome/alphagenome-atlas.pdf，每种变异平均伴随着大约27,000个单独的预测值。","这一点对于大约占98%的基因组区域尤为重要，这些区域并不编码蛋白质。非编码区域像开关和旋钮一样，决定基因何时以及在何种组织中活跃。大多数与疾病相关的变异都位于这些区域，而这些变异的影响也一直是最难解读的。","团队表示，每个变体有成千上万的预测值，对于日常使用来说太多了。因此，DeepMind 构建了 AlphaGenome 变体影响评分（AVI），将所有信息浓缩成一个数字。一个小型神经网络将 AlphaGenome 的预测与蛋白质模型 AlphaMissense 以及两个衡量 DNA 位点在数百万年进化中保持不变的指标结合起来。AVI 使用 18 个输入特征，而既有的基准工具 CADD 使用的特征超过 150 个。","几乎没有哪个变体能确定地知道它是否会造成伤害。团队对此进行了处理。那些在人群中极少出现的变体被视为可能有害，而常见的变体被视为可能无害，因为有害突变在几代中传播较少。尽管采用这种间接训练，AVI 在对已经临床分类的变体进行测试时超过了现有工具，尤其是在非编码区域。根据论文，在某些任务中，竞争工具略微领先。这个图谱还为每个变体细分了是什么过程推动了其评分，例如是基因转录本的剪接还是开关受到影响。","来自 GREGoR 联盟研究未解稀有疾病的一个案例显示了这种方法的实际帮助。一名患有严重癫痫的儿童尽管进行了基因组测序仍未获得诊断。AVI 将基因 DNM1 中之前被分类为不明确的变体排到了候选列表的首位。","AlphaGenome 的预测还提供了机制。该变体在基因转录本处理过程中产生了错误的剪接位点，使蛋白质延长了 13 个构建模块。但这种情况仅发生在大脑中专门表达的基因版本中。这就是为什么早期对血液样本的研究没有发现任何问题。","实验室实验证实了这一预测，研究人员建议将其分类为可能致病。回顾联盟已经解决的病例，AVI 在 29.5% 的情况下将致病变体排在前 50 个候选中，而 CADD 仅为 12.5%。","该图谱还旨在推动人口研究向前发展。为了找出某一基因组区域的罕见变异是否会影响诸如血液指标之类的特征，必须对大量样本进行分析，因为单个变异过于罕见，无法进行统计。如果将无害和有效的变异混合在一起，信号就会淹没在噪声中。","埃克塞特大学的加雷斯·霍克斯使用该图谱仅对那些预测作用相同的变异进行分组，这依赖于来自超过54,000名英国生物样本库参与者的基因组数据。与传统筛选方法相比，这种方法发现非编码变异与血液中蛋白水平之间的关联增加了22%。","根据这些预测，团队还得出了2,601种重复出现的短DNA模式，基本上就是基因组中调控蛋白附着的“词语”。","AlphaGenome也有其局限性。它并不了解每种细胞类型，并且无法捕捉通过其他调控蛋白数量产生效果的作用。DeepMind指出，该图谱和AVI是研究工具，只能作为诊断证据链中的一个环节。","该图谱可通过网页门户供非商业用途使用：https://alphagenome.google/atlas，API：https://github.com/google-deepmind/alphagenome，以及作为Google Antigravity中的一项技能：https://antigravity.google/use-cases/science。商业版本将通过Google Cloud发布。","保持对AI的关注。内容清晰、有用，无冗余。","关注The Decoder获取AI新闻、背景故事和专家分析。","解码器：https://the-decoder.com/"]},"en":{"title":"DeepMind releases AlphaGenome Atlas, predicting the effects of approximately 9 billion single-base mutations in the human genome","summary":"Google DeepMind released the AlphaGenome Atlas, which precomputes impact predictions for approximately 9 billion possible single-base mutations in the human genome, with a dataset reaching 1 PB, over 30 times larger than the AlphaFold database.","category":"Industry","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind releases AlphaGenome Atlas, predicting the effects of approximately 9 billion single-base mutations in the human genome - Aioga AI News","description":"Google DeepMind released the AlphaGenome Atlas, which precomputes impact predictions for approximately 9 billion possible single-base mutations in the human genome, with a dataset...","url":"https://www.aioga.com/en/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:03:39.926Z"},"ja":{"title":"DeepMindはAlphaGenome Atlasを発表し、ヒトゲノムの約90億の単一塩基変異の影響を予測","summary":"Google DeepMind は AlphaGenome Atlas を発表し、人間のゲノムにおける約90億種類の可能な一塩基変異の影響予測を事前に計算しました。データセットのサイズは1 PBに達し、AlphaFold データベースの30倍以上です。","category":"業界動向","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMindはAlphaGenome Atlasを発表し、ヒトゲノムの約90億の単一塩基変異の影響を予測 - Aioga AIニュース","description":"Google DeepMind は AlphaGenome Atlas を発表し、人間のゲノムにおける約90億種類の可能な一塩基変異の影響予測を事前に計算しました。データセットのサイズは1 PBに達し、AlphaFold データベースの30倍以上です。","url":"https://www.aioga.com/ja/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:03:46.308Z"},"ko":{"title":"DeepMind가 AlphaGenome Atlas를 발표하여 인간 게놈 약 90억 종류의 단일 염기 변이 영향을 예측하다","summary":"Google DeepMind는 AlphaGenome Atlas를 발표했으며, 인간 게놈의 약 90억 가지 가능한 단일 염기 변이에 대한 영향 예측을 사전 계산했으며, 데이터셋은 1 PB에 달해 AlphaFold 데이터베이스의 30배 이상입니다.","category":"업계 동향","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind가 AlphaGenome Atlas를 발표하여 인간 게놈 약 90억 종류의 단일 염기 변이 영향을 예측하다 - Aioga AI 뉴스","description":"Google DeepMind는 AlphaGenome Atlas를 발표했으며, 인간 게놈의 약 90억 가지 가능한 단일 염기 변이에 대한 영향 예측을 사전 계산했으며, 데이터셋은 1 PB에 달해 AlphaFold 데이터베이스의 30배 이상입니다.","url":"https://www.aioga.com/ko/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:04:30.898Z"},"es":{"title":"DeepMind lanza AlphaGenome Atlas, prediciendo el impacto de aproximadamente 9 mil millones de mutaciones de bases únicas en el genoma humano","summary":"Google DeepMind lanzó AlphaGenome Atlas, que predice de manera precomputada los efectos de aproximadamente 9 mil millones de posibles mutaciones de un solo nucleótido en el genoma humano, con un conjunto de datos de 1 PB, más de 30 veces mayor que la base de datos de AlphaFold.","category":"Industria","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind lanza AlphaGenome Atlas, prediciendo el impacto de aproximadamente 9 mil millones de mutaciones de bases únicas en el genoma humano - Aioga Noticias de IA","description":"Google DeepMind lanzó AlphaGenome Atlas, que predice de manera precomputada los efectos de aproximadamente 9 mil millones de posibles mutaciones de un solo nucleótido en el genoma...","url":"https://www.aioga.com/es/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:04:28.733Z"},"fr":{"title":"DeepMind publie AlphaGenome Atlas, prédisant l'impact d'environ 9 milliards de mutations ponctuelles du génome humain","summary":"Google DeepMind a publié l'AlphaGenome Atlas, qui prédit les effets possibles d'environ 9 milliards de mutations mononucléotidiques du génome humain, avec un ensemble de données atteignant 1 Po, soit plus de 30 fois celui de la base de données AlphaFold.","category":"Industrie","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind publie AlphaGenome Atlas, prédisant l'impact d'environ 9 milliards de mutations ponctuelles du génome humain - Aioga Actualités IA","description":"Google DeepMind a publié l'AlphaGenome Atlas, qui prédit les effets possibles d'environ 9 milliards de mutations mononucléotidiques du génome humain, avec un ensemble de données at...","url":"https://www.aioga.com/fr/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:05:15.924Z"},"de":{"title":"DeepMind veröffentlicht AlphaGenome Atlas, um die Auswirkungen von etwa 9 Milliarden Einzelbasenmutationen im menschlichen Genom vorherzusagen","summary":"Google DeepMind veröffentlicht AlphaGenome Atlas, der die Auswirkungen von etwa 9 Milliarden möglichen Einzelbasenmutationen im menschlichen Genom vorberechnet prognostiziert, der Datensatz erreicht 1 PB und übertrifft die AlphaFold-Datenbank um mehr als das 30-fache.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind veröffentlicht AlphaGenome Atlas, um die Auswirkungen von etwa 9 Milliarden Einzelbasenmutationen im menschlichen Genom vorherzusagen - Aioga KI-News","description":"Google DeepMind veröffentlicht AlphaGenome Atlas, der die Auswirkungen von etwa 9 Milliarden möglichen Einzelbasenmutationen im menschlichen Genom vorberechnet prognostiziert, der...","url":"https://www.aioga.com/de/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:05:15.135Z"},"pt-BR":{"title":"DeepMind lança AlphaGenome Atlas, prevendo os efeitos de cerca de 9 bilhões de mutações de base única no genoma humano","summary":"Google DeepMind lançou o AlphaGenome Atlas, prevendo antecipadamente os impactos de cerca de 9 bilhões de possíveis mutações de base única no genoma humano, com um conjunto de dados de 1 PB, mais de 30 vezes maior do que o banco de dados AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind lança AlphaGenome Atlas, prevendo os efeitos de cerca de 9 bilhões de mutações de base única no genoma humano - Aioga Notícias de IA","description":"Google DeepMind lançou o AlphaGenome Atlas, prevendo antecipadamente os impactos de cerca de 9 bilhões de possíveis mutações de base única no genoma humano, com um conjunto de dado...","url":"https://www.aioga.com/pt-BR/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:05:57.881Z"},"ru":{"title":"DeepMind выпустила AlphaGenome Atlas, предсказывающий влияние примерно 9 миллиардов однонуклеотидных мутаций в геноме человека","summary":"Google DeepMind выпустила AlphaGenome Atlas, который заранее вычисляет прогнозируемое влияние примерно 9 миллиардов возможных точечных мутаций в геноме человека, размер набора данных достигает 1 ПБ, что более чем в 30 раз превышает базу данных AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind выпустила AlphaGenome Atlas, предсказывающий влияние примерно 9 миллиардов однонуклеотидных мутаций в геноме человека - Aioga Новости ИИ","description":"Google DeepMind выпустила AlphaGenome Atlas, который заранее вычисляет прогнозируемое влияние примерно 9 миллиардов возможных точечных мутаций в геноме человека, размер набора данн...","url":"https://www.aioga.com/ru/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:06:03.207Z"},"ar":{"title":"أعلنت شركة DeepMind عن أتلَس AlphaGenome، لتوقع تأثير حوالي 9 مليارات طفرة نوكليوتيد أحادي في الجينوم البشري","summary":"أعلنت Google DeepMind عن خريطة AlphaGenome، والتي تحسب تأثيرات التغيرات المحتملة في القواعد المفردة للجينوم البشري البالغ عددها حوالي 9 مليارات مسبقًا، ويصل حجم مجموعة البيانات إلى 1 بيتابايت، وهو أكثر من 30 ضعفًا من قاعدة بيانات AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"أعلنت شركة DeepMind عن أتلَس AlphaGenome، لتوقع تأثير حوالي 9 مليارات طفرة نوكليوتيد أحادي في الجينوم البشري - Aioga أخبار الذكاء الاصطناعي","description":"أعلنت Google DeepMind عن خريطة AlphaGenome، والتي تحسب تأثيرات التغيرات المحتملة في القواعد المفردة للجينوم البشري البالغ عددها حوالي 9 مليارات مسبقًا، ويصل حجم مجموعة البيانات إلى...","url":"https://www.aioga.com/ar/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:06:57.496Z"},"hi":{"title":"DeepMind ने AlphaGenome Atlas जारी किया, जो मानव जीनोम में लगभग 9 अरब एकल-न्यूक्लियोटाइड उत्परिवर्तन के प्रभावों की भविष्यवाणी करता है","summary":"गूगल डीपमाइंड ने AlphaGenome Atlas जारी किया, जो मानव जीनोम में लगभग 9 अरब संभावित सिंगल-बेस म्यूटेशन के प्रभाव की पूर्वानुमान गणना करता है, डेटासेट का आकार 1 PB है, जो AlphaFold डेटाबेस से 30 गुना से अधिक है।","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind ने AlphaGenome Atlas जारी किया, जो मानव जीनोम में लगभग 9 अरब एकल-न्यूक्लियोटाइड उत्परिवर्तन के प्रभावों की भविष्यवाणी करता है - Aioga AI समाचार","description":"गूगल डीपमाइंड ने AlphaGenome Atlas जारी किया, जो मानव जीनोम में लगभग 9 अरब संभावित सिंगल-बेस म्यूटेशन के प्रभाव की पूर्वानुमान गणना करता है, डेटासेट का आकार 1 PB है, जो AlphaFold ड...","url":"https://www.aioga.com/hi/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:07:05.659Z"},"it":{"title":"DeepMind ha pubblicato AlphaGenome Atlas, prevedendo l'impatto di circa 9 miliardi di mutazioni di singoli nucleotidi nel genoma umano","summary":"Google DeepMind ha rilasciato AlphaGenome Atlas, che prevede gli effetti di circa 9 miliardi di possibili mutazioni di singoli nucleotidi nel genoma umano, con un dataset che raggiunge 1 PB, più di 30 volte il database di AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind ha pubblicato AlphaGenome Atlas, prevedendo l'impatto di circa 9 miliardi di mutazioni di singoli nucleotidi nel genoma umano - Aioga Notizie IA","description":"Google DeepMind ha rilasciato AlphaGenome Atlas, che prevede gli effetti di circa 9 miliardi di possibili mutazioni di singoli nucleotidi nel genoma umano, con un dataset che raggi...","url":"https://www.aioga.com/it/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:07:48.582Z"},"nl":{"title":"DeepMind heeft de AlphaGenome Atlas uitgebracht, die de effecten van ongeveer 9 miljard enkele basismutaties in het menselijk genoom voorspelt","summary":"Google DeepMind heeft AlphaGenome Atlas uitgebracht, dat voorspellingen vooraf berekent over de effecten van ongeveer 9 miljard mogelijke enkelvoudige basenmutaties in het menselijk genoom, met een dataset van 1 PB, meer dan 30 keer groter dan de AlphaFold-database.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind heeft de AlphaGenome Atlas uitgebracht, die de effecten van ongeveer 9 miljard enkele basismutaties in het menselijk genoom voorspelt - Aioga AI-nieuws","description":"Google DeepMind heeft AlphaGenome Atlas uitgebracht, dat voorspellingen vooraf berekent over de effecten van ongeveer 9 miljard mogelijke enkelvoudige basenmutaties in het menselij...","url":"https://www.aioga.com/nl/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:07:49.242Z"},"tr":{"title":"DeepMind, insan genomundaki yaklaşık 9 milyar tek bazlı mutasyonun etkilerini tahmin eden AlphaGenome Atlas'ı yayımladı","summary":"Google DeepMind, insan genomundaki yaklaşık 9 milyar olası tek baz değişikliğinin önceden hesaplanmış etkilerini tahmin eden AlphaGenome Atlas’ı yayınladı; veri kümesi 1 PB büyüklüğünde olup, AlphaFold veritabanının 30 katından fazladır.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind, insan genomundaki yaklaşık 9 milyar tek bazlı mutasyonun etkilerini tahmin eden AlphaGenome Atlas'ı yayımladı - Aioga AI Haberleri","description":"Google DeepMind, insan genomundaki yaklaşık 9 milyar olası tek baz değişikliğinin önceden hesaplanmış etkilerini tahmin eden AlphaGenome Atlas’ı yayınladı; veri kümesi 1 PB büyüklü...","url":"https://www.aioga.com/tr/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:08:40.926Z"},"vi":{"title":"DeepMind phát hành AlphaGenome Atlas, dự đoán tác động của khoảng 9 tỷ biến thể đơn nucleotide trong bộ gen người","summary":"Google DeepMind phát hành AlphaGenome Atlas, dự đoán trước tác động của khoảng 9 tỷ khả năng đột biến một nucleotide trong bộ gen người, bộ dữ liệu đạt 1 PB, gấp hơn 30 lần cơ sở dữ liệu AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind phát hành AlphaGenome Atlas, dự đoán tác động của khoảng 9 tỷ biến thể đơn nucleotide trong bộ gen người - Tin tức AI Aioga","description":"Google DeepMind phát hành AlphaGenome Atlas, dự đoán trước tác động của khoảng 9 tỷ khả năng đột biến một nucleotide trong bộ gen người, bộ dữ liệu đạt 1 PB, gấp hơn 30 lần cơ sở d...","url":"https://www.aioga.com/vi/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:08:32.012Z"},"id":{"title":"DeepMind merilis AlphaGenome Atlas, memprediksi dampak sekitar 9 miliar mutasi basa tunggal pada genom manusia","summary":"Google DeepMind merilis AlphaGenome Atlas, yang memprediksi secara prekomputasi dampak dari sekitar 9 miliar kemungkinan mutasi basa tunggal dalam genom manusia, dengan dataset mencapai 1 PB, lebih dari 30 kali lipat database AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind merilis AlphaGenome Atlas, memprediksi dampak sekitar 9 miliar mutasi basa tunggal pada genom manusia - Berita AI Aioga","description":"Google DeepMind merilis AlphaGenome Atlas, yang memprediksi secara prekomputasi dampak dari sekitar 9 miliar kemungkinan mutasi basa tunggal dalam genom manusia, dengan dataset men...","url":"https://www.aioga.com/id/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:09:27.077Z"},"th":{"title":"DeepMind เปิดตัว AlphaGenome Atlas เพื่อทำนายผลกระทบของการกลายพันธุ์แบบเบสเดียวประมาณ 9 พันล้านรายการในจีโนมของมนุษย์","summary":"Google DeepMind เปิดตัว AlphaGenome Atlas สำหรับการคำนวณผลกระทบที่อาจเกิดขึ้นจากการกลายพันธุ์ของเบสเดี่ยวในจีโนมของมนุษย์ประมาณ 9 พันล้านแบบ ขนาดชุดข้อมูลถึง 1 เพตะไบต์ มากกว่าฐานข้อมูล AlphaFold กว่า 30 เท่า","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind เปิดตัว AlphaGenome Atlas เพื่อทำนายผลกระทบของการกลายพันธุ์แบบเบสเดียวประมาณ 9 พันล้านรายการในจีโนมของมนุษย์ - ข่าว AI Aioga","description":"Google DeepMind เปิดตัว AlphaGenome Atlas สำหรับการคำนวณผลกระทบที่อาจเกิดขึ้นจากการกลายพันธุ์ของเบสเดี่ยวในจีโนมของมนุษย์ประมาณ 9 พันล้านแบบ ขนาดชุดข้อมูลถึง 1 เพตะไบต์ มากกว่าฐานข...","url":"https://www.aioga.com/th/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:09:30.512Z"},"pl":{"title":"DeepMind opublikował Atlas AlphaGenome, przewidujący wpływ około 9 miliardów pojedynczych mutacji nukleotydowych w genomie człowieka","summary":"Google DeepMind opublikowało AlphaGenome Atlas, który przewiduje skutki około 9 miliardów możliwych pojedynczych mutacji nukleotydowych w ludzkim genomie, a zestaw danych osiąga 1 PB, co jest ponad 30 razy większe niż baza danych AlphaFold.","category":"行业动态","source":"The Decoder：AI News（RSS）","aggregationSource":"The Decoder：AI News（RSS）","pageTitle":"DeepMind opublikował Atlas AlphaGenome, przewidujący wpływ około 9 miliardów pojedynczych mutacji nukleotydowych w genomie człowieka - Aioga Wiadomości AI","description":"Google DeepMind opublikowało AlphaGenome Atlas, który przewiduje skutki około 9 miliardów możliwych pojedynczych mutacji nukleotydowych w ludzkim genomie, a zestaw danych osiąga 1...","url":"https://www.aioga.com/pl/news/cmtu5ycjs10dprofptxhkbenw/","contentTranslated":true,"sourceHash":"b7fd06f2f01adb18","translatedAt":"2026-09-09T15:10:18.112Z"}},"evidenceTier":"verified-news","reviewStatus":"automated-ingest","indexable":true,"editorialCover":""}}