生成图文并茂的分析报告/实验报告/质检报告(固定模版)。当用户要求"生成报告/总结报告/实验报告/质检报告/QC报告",或分析流程收尾需要交付报告时使用。报告必须基于真实分析输出,包含固定章节结构、关键指标表格和真实结果图。
日本語の概要は準備中です。原文の説明を表示しています。
Select, document, download, and checksum-verify the most appropriate NCBI reference genome on an HPC cluster. Use whenever an analysis needs a reference genome, genome FASTA, genome annotation, assembly accession, or genome index and no exact approved assembly is already available; when a user asks to fetch a species genome from NCBI; or when a pipeline must resolve and cache a reproducible reference assembly on a remote cluster.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Resolve the exact assembly before analysis, download it directly on the cluster, and preserve enough provenance to reproduce the choice. Never interpret “best” as “largest N50” alone.
Discover these from the request, repository, pipeline config, environment, or existing cluster files before asking:
genome,gff3,gtf,seq-report; omit annotation formats the downstream tool does not use.Ask only for missing information that cannot be safely inferred. Never invent a cluster host, account, filesystem path, strain, or assembly build. If the project or user pins an accession, treat it as authoritative and skip automatic ranking after confirming it is current.
datasets, Python 3, SSH, scheduler conventions, destination permissions, quota, and free space.scripts/fetch_ncbi_reference.py to the cluster. Run it first without --yes to produce a read-only candidate report and proposed destination.--yes on the cluster.status: downloaded or status: already-present, that NCBI MD5 checks pass, and that provenance.json exists.Apply constraints before ranking:
Rank eligible cellular-organism assemblies lexicographically:
reference genome > representative genome > unclassified.GCF_) > GenBank-only (GCA_).Report the leading candidates rather than hiding the decision. Do not switch an established project to another accession merely because it scores higher.
For viruses, organelles, pangenomes, mixed taxa, hybrids, or strain-sensitive microbial work, do not apply the cellular assembly ranking blindly. Resolve the biological unit and downstream compatibility first; use the corresponding NCBI Datasets virus/organelle workflow or an explicit accession.
Execute on the machine where the reference should reside:
python3 scripts/fetch_ncbi_reference.py \
--taxon "Homo sapiens" \
--dest-root /cluster/shared/references \
--include genome,gff3,gtf,seq-report
The first run is a dry run. After reviewing its JSON report:
python3 scripts/fetch_ncbi_reference.py \
--taxon "Homo sapiens" \
--dest-root /cluster/shared/references \
--include genome,gff3,gtf,seq-report \
--yes
Use --accession GCF_... to honor a pinned assembly and repeat --search VALUE for a required strain, assembly name, or submitter. Read python3 scripts/fetch_ncbi_reference.py --help for all options.
.40; never reduce an accession to an unversioned alias.md5sum.txt, and publish the final directory atomically.--api-key-env.provenance.json, candidate_report.json, NCBI reports, and the original package ZIP unless storage policy requires removing the ZIP after verification.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
生成图文并茂的分析报告/实验报告/质检报告(固定模版)。当用户要求"生成报告/总结报告/实验报告/质检报告/QC报告",或分析流程收尾需要交付报告时使用。报告必须基于真实分析输出,包含固定章节结构、关键指标表格和真实结果图。
日本語の概要は準備中です。原文の説明を表示しています。
Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.
日本語の概要は準備中です。原文の説明を表示しています。
Trim PCR primers from aligned reads in amplicon-panel BAMs using samtools ampliconclip. Use when processing SARS-CoV-2 ARTIC, hereditary cancer panels, ctDNA hot-spot panels, or any amplicon assay where primer-derived bases would falsely confirm reference at primer footprints.
日本語の概要は準備中です。原文の説明を表示しています。
Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality alignments, or subsetting to target regions.
日本語の概要は準備中です。原文の説明を表示しています。
Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam. Use when enabling random access to alignment files or fetching specific genomic regions.
日本語の概要は準備中です。原文の説明を表示しています。
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats.
日本語の概要は準備中です。原文の説明を表示しています。