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    • 免疫组学

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      https://www.sc-best-practices.org/air_repertoire/ir_profiling.html
      56a55e24-8f0e-4b43-a73b-0ee7beaf8d4e-image.png

      VDJ过程
      adc29db5-511a-48a1-bd0f-e9269ac0a751-image.png

    • 细胞与基因疗法 cell and gene therapy

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      Definition of Gene Therapy in the EU
      In the EU, the definition of a Gene Therapy Medicinal Product (GTMP) is provided
      in Directive 2009/120/EC amending Directive 2001/83/EC, part IV of Annex I.
      A GTMP means a biological medicinal product that has the following
      characteristics:
      (a) it contains an active substance that contains or consists of a recombinant
      nucleic acid used in or administered to human beings with a view to
      regulating, repairing, replacing, adding or deleting a genetic sequence;
      (b) its therapeutic, prophylactic or diagnostic effect relates directly to the
      recombinant nucleic acid sequence it contains, or to the product of the
      genetic expression of this sequence.
      GTMPs do not include vaccines against infectious diseases.
      Hazel Aranha, Humberto Vega-Mercado - Handbook of Cell and Gene Therapy_ From Proof-of-Concept through Manufacturing to Commercialization-CRC Press (2023).pdf

    • 代谢组学

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      核磁在代谢组学中的应用

      1.核磁共振技术原理
      https://www.youtube.com/watch?v=pUWcXvw1Rsg
      https://www.bilibili.com/video/BV1CU4y1E7xL/?spm_id_from=333.788.recommend_more_video.-1(有中文翻译 比较好)

    • 司法

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      https://bitbucket.org/rirgabiss/mhinngs/src/master/
      MHinNGS is a tool for analysis of microhaplotypes (MHs) in singleend sequencing data obtained through a massive parallel sequencing plattform (MPS). The tool identifies the reads with the MHs and calls the genotypes of the MHs according to the criteria and positions specified in the configuration file. It also searches for additional variants in the region defined by the start and the stop positions specified in the configuration file.
      这个软件的输入是参考序列和原始单端测序的fastq 包括了比对过程 依赖的第三方软件包括
      python 3.6 including pip
      samtools version 1.9
      hisat2 version 2.1.0
      stringtie version 2.0.3
      agrep T.R.E. version 0.8.0
      不支持双端序列

    • 表观遗传学

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      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828144/
      Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data
      3d1f0fc6-d2ed-4539-9cde-0c03bde51949-image.png

    • 合成生物学

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      https://github.com/mesoscope

    • 植物基因组学

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      M

      参考

      https://gatk.broadinstitute.org/hc/en-us/articles/360035531572-Evaluating-the-quality-of-a-germline-short-variant-callset

    • 蛋白组学

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      https://www.sinobiological.com/resource/protein-review/fc-fusion-proteins
      46c1ca94-e2a9-44bd-b53e-593a82afcd3c-image.png

    • 临床生物信息

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      1689181129856.gif

    • 肿瘤NGS数据分析

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      A

      https://civicdb.org/pages/about

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      Alpha Beta and Gamma Diversity
      • anneng

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      3c2e0401-8350-4292-affb-2c7f6cc47c2c-image.png

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      jupytor conda
      • anneng

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      https://towardsdatascience.com/get-your-conda-environment-to-show-in-jupyter-notebooks-the-easy-way-17010b76e874

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      数据管理平台选型
      • anneng

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      https://omeka.org/s/docs/user-manual/modules/datarepositoryconnector/

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      blastdb
      • anneng

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      https://hackmd.io/@aphanotus/localblast

    • A

      Toil验证记录
      • anneng

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      Toil Server模式

      docker run -d --name wes-rabbitmq -p 5672:5672 rabbitmq:3.9.5
      celery -A toil.server.celery_app worker --loglevel=INFO
      toil server

      curl --location --request POST 'http://localhost:8000/ga4gh/wes/v1/runs' --user test:test --form 'workflow_url="example.cwl"' --form 'workflow_type="cwl"' --form 'workflow_type_version="v1.0"' --form 'workflow_params="{"message": "Hello world!"}"' --form
      'workflow_attachment=@"./example.cwl"'

      ===========需要metrics-server==============================
      kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
      卸载 metrics-server
      kubectl delete -f components.yaml

      根据 https://stackoverflow.com/questions/71843068/metrics-server-is-currently-unable-to-handle-the-request

      labels: k8s-app: metrics-server spec: containers: - args: - --cert-dir=/tmp - --secure-port=443 - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname - --kubelet-use-node-status-port - --metric-resolution=15s - --kubelet-insecure-tls **# add this line**

      kubectl apply -f components.yaml
      否则会产生下面的错误
      kubectl get deployment/metrics-server -n kube-system
      v1beta1.metrics.k8s.io kube-system/metrics-server False (MissingEndpoints) 44m
      测试:
      kubectl top nodes
      NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
      node1 1076m 13% 17670Mi 75%
      node2 1295m 16% 10048Mi 65%
      node3 1168m 14% 14871Mi 63%

      ============apparmor可能有影响 删除这个服务(产品环境按照https://github.com/adamnovak/gi-kubernetes-autoscaling-config/blob/e1350ac9ad17d94b5073b20db3c75620957926e3/kubenode.ubuntu.cloud-config.yaml#L27-L67设置)=====
      sudo systemctl stop apparmor.service
      sudo systemctl disable apparmor.service

      Toil server在启动 toil-cwl-runner的时候 可能是没有把全局变量传递过去 会报错 但是 直接使用下面的提交 就成功了
      export TOIL_WORKDIR=/cephfs_data/toil
      export TOIL_KUBERNETES_HOST_PATH=/cephfs_data/toil
      toil-cwl-runner --writeMessages=/cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/bus_messages --batchSystem=kubernetes --workDir=/cephfs_data/toil --clean=always --outdir=/cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/outputs --jobStore=/cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/toil_job_store /cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/execution/example.cwl /cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/execution/wes_inputs.json

      cat /cephfs_data/toil/run-6aef556521e1460e94b0557ce848f49e/outputs/output.txt
      Hello world!

      后面产品环境看看是用hostpath 还是pv

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      细胞仿真
      • anneng

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      Whole-Cell Models and Simulations in Molecular Detail
      https://www.annualreviews.org/doi/abs/10.1146/annurev-cellbio-100617-062542

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      nf tower 验证
      • anneng

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      运行
      sudo apt install docker-compose
      sudo make run

      Cannot create container for service backend: create .: volume name is too short, names should be at least two alphanumeric characters
      vi docker-compose.yml
      这个地方/是必须的
      volumes:
      - $PWD/:/work

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      streamflow
      • anneng

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      REANA
      • anneng

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      NCBI sequence viewer 验证
      • anneng

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      covidseq
      • anneng

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      公共数据集
      • anneng

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      https://ddbj.nig.ac.jp/resource/bioproject/PRJEB31736
      We sequenced all 2,504 samples from the 1000 Genomes (1KG) Project to a minimum of 30x mean genome coverage. Though a small number of 1KG samples had been sequenced to high coverage previously, we sequenced all samples to depth on the latest technology, providing a unified dataset for the next phase of analyses. We processed these samples using the laboratory processes we have previously used for the CCDG project (with minor modifications). Specifically, we generated PCR-free sequencing libraries using unique dual indices to avoid the index switching phenomenon that occurs and causes low level sequencing data contamination on the Illumina patterned flow cells. We sequenced these samples on the Illumina NovaSeq 6000 sequencing instrument, with 2x150bp reads. We believe this instrument represents the future for WGS with short-read technology, and it was important to sequence the 1KG samples in a format that is consistent with future large scale sequencing projects. Our automated analysis pipeline for whole genome sequencing matches the CCDG and TOPMed recommended best practices. Sequencing reads were aligned to the human reference, hs38DH, using BWA-MEM v0.7.15. Data are further processed using the GATK best-practices (v3.5), which generates VCF files in the 4.2 format. Single nucleotide variants and Indels are called using GATK HaplotypeCaller (v3.5), which generates a single-sample GVCF.

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      Decoy sequences 诱饵序列
      • anneng

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      SV 结构编译分析
      • anneng

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      https://expert.cheekyscientist.com/structural-variant-calling-from-ngs-data/
      048cbf12-5b91-4e75-b9c7-9f844419a80a-image.png
      split-read

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      生信课程
      • anneng

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      临床突变分析
      • anneng

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      基因浏览器
      • anneng

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      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876635/
      对常见工具的一个分析 Tasks, Techniques, and Tools for Genomic Data Visualization

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      biostatistics 生物统计学课程
      • anneng

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      遗传距离矩阵
      • anneng

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      TECHNICAL_NOTE_Genetic_Distance_27-Feb-22.pdf
      DartR 对SNP如何计算距离讲的很好

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      RNA-seq数据分析
      • anneng

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      https://geoexplorer.rosalind.kcl.ac.uk/

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