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Genomics02:02

Genomics

40.9K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
40.9K
Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

37.3K
Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
37.3K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.7K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.7K
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

9.2K
While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

17.1K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Associative Learning01:27

Associative Learning

1.5K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Updated: Feb 16, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

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精神医学ゲノミクスのためのディープラーニング:ツールからアプリケーションへ

Junhao Liu1, Siwei Xu1, Dongbo Sun1

  • 1Department of Computer Science, University of California, Irvine, 6210 Donald Bren Hall, Irvine, 92697 CA, USA.

Current opinion in genetics & development
|February 14, 2026
PubMed
まとめ

ディープラーニング (DL) は,複雑な精神疾患のゲノム分析を進めています. これらのAIツールは,コード化されていない遺伝子変異の解釈を助け,新しい治療戦略の道を開きます.

科学分野:

  • ゲノミクスゲノミクスとは
  • 人工知能 (AI) とは,人工知能 (AI) のことです.
  • 神経科学は神経科学である.

背景:

  • 精神疾患には複雑な遺伝構造があり,非コーディングDNAには多くのリスク変異がある.
  • 脳内のこれらのノンコーディング変異の規制効果を理解することは,大きな課題です.

研究 の 目的:

  • 精神医学ゲノミクスにおけるディープラーニング (DL) の進化と応用をレビューする.
  • 基礎モデルを含むDLが,非コーディング遺伝子変異の解釈における課題に対処する方法を強調する.

主な方法:

  • ゲノミクスにおけるDLモデルの発展を追跡し,タスク固有のモデルから基礎モデルまで.
  • ゲノム言語モデル,単細胞基礎モデル,および大型言語モデルを検証する.
  • 精神医学ゲノミクス研究におけるDLアプリケーションの調査.

主要な成果:

  • DLは,複雑な遺伝子データを分析し,規制上の影響を理解するための強力なツールを提供します.
  • 基礎モデルは,生物学的データに先行訓練され,ゲノム言語を解釈する新しい方法を提供します.
  • 最近のDLの進歩により,精神疾患に関連するノンコーディング変異の研究が容易になりました.

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Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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関連する実験動画

Last Updated: Feb 16, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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結論:

  • ディープラーニングは,精神医学ゲノミクス研究におけるパラダイムシフトを表しています.
  • これらの高度なAIの方法は,遺伝学的発見と治療戦略の間のギャップを埋めることができます.
  • 研究者は,精神疾患をよりよく理解し,治療するためにDLを活用することができます.