five

SunnyLin/GCF-GRCh38-p14-genomic

收藏
Hugging Face2025-11-17 更新2025-12-20 收录
下载链接:
https://hf-mirror.com/datasets/SunnyLin/GCF-GRCh38-p14-genomic
下载链接
链接失效反馈
官方服务:
资源简介:
--- tags: - biology pretty_name: GCF-GRCh38 size_categories: - 1M<n<10M --- ## Dataset Summary This dataset is a processed, tabular representation of the **NCBI RefSeq GFF file** for the human reference genome **GRCh38.p14**. The original GFF (General Feature Format) data, `GCF_000001405.40_GRCh38.p14_genomic.gff`, has been converted to the **Parquet format** for efficient storage and fast querying using libraries like Pandas and Apache Arrow. The data contains annotations for all genomic features (genes, transcripts, exons, CDS, etc.) on the primary sequences of the GRCh38 human genome assembly. ## Data Structure The dataset is stored as a single **Parquet** file and can be easily loaded into a Pandas DataFrame. | Column Name | Data Type | Description | Example Value | | :--- | :--- | :--- | :--- | | `seqid` | string | NCBI Accession ID for the sequence (chromosome). **Needs mapping to `chrX` names.** | `NC_000001.11` | | `source` | string | Source of the feature (e.g., RefSeq, BestRefSeq). | `BestRefSeq` | | `type` | string | Type of the genomic feature (e.g., `gene`, `transcript`, `exon`, `CDS`). | `gene` | | `start` | int32 | Feature start position (1-based, inclusive). | `11874` | | `end` | int32 | Feature end position (1-based, inclusive). | `14409` | | `score` | string | Score (always `.`) | `.` | | `strand` | string | Feature strand (`+` for forward, `-` for reverse). | `+` | | `phase` | string | Phase for CDS features (0, 1, or 2). | `.` | | `attributes` | string | **Feature attributes, stored as a JSON string/dictionary.** | `{"ID": "gene-DDX11L1", "Dbxref": ["GeneID:100287102", "HGNC:HGNC:37102"]...}` | ## Usage #### 1. Python (Pandas) Setup To easily convert the `seqid` (NCBI Accession ID) to the standard chromosome name (`chr1`, `chr2`, etc.), you can use the following mapping dictionary extracted from the GRCh38.p14 assembly report. ```python ncid2chr = { 'NC_000001.11': 'chr1', 'NC_000002.12': 'chr2', 'NC_000003.12': 'chr3', 'NC_000004.12': 'chr4', 'NC_000005.10': 'chr5', 'NC_000006.12': 'chr6', 'NC_000007.14': 'chr7', 'NC_000008.11': 'chr8', 'NC_000009.12': 'chr9', 'NC_000010.11': 'chr10', 'NC_000011.10': 'chr11', 'NC_000012.12': 'chr12', 'NC_000013.11': 'chr13', 'NC_000014.9': 'chr14', 'NC_000015.10': 'chr15', 'NC_000016.10': 'chr16', 'NC_000017.11': 'chr17', 'NC_000018.10': 'chr18', 'NC_000019.10': 'chr19', 'NC_000020.11': 'chr20', 'NC_000021.9': 'chr21', 'NC_000022.11': 'chr22', 'NC_000023.11': 'chrX', 'NC_000024.10': 'chrY', 'NC_012920.1': 'chrM' } ```
提供机构:
SunnyLin
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作