--- language: - en pretty_name: "NTv3 tutorial dataset - Genome & functional tracks" tags: - ๐Ÿงฌ genomics - ๐Ÿ“Š bigwig / functional tracks - ๐ŸŽฏ regression - โšก fine-tuning - ๐Ÿงช sequence-to-signal - ๐Ÿ“ functional-genomics - ๐Ÿ”ฌ bioinformatics task_categories: - other size_categories: - 100K/ โ”‚ โ”œโ”€โ”€ functional_tracks/ โ”‚ โ”‚ โ”œโ”€โ”€ .bigwig โ”‚ โ”‚ โ””โ”€โ”€ ... โ”‚ โ””โ”€โ”€ genome_annotation/ โ”‚ โ”œโ”€โ”€ .bed โ”‚ โ””โ”€โ”€ ... ``` ## Available Species - **arabidopsis** - **chicken** - **cattle** - **human** - **maize** - **rice** - **tomato** ## Downloading Files You can download files directly using their URLs: ```python from huggingface_hub import hf_hub_download import requests # Download a BigWig file bigwig_path = hf_hub_download( repo_id="InstaDeepAI/NTv3_benchmark_dataset", filename="human/functional_tracks/ENCSR628PLS.bigwig", repo_type="dataset" ) # Download a BED file bed_path = hf_hub_download( repo_id="InstaDeepAI/NTv3_benchmark_dataset", filename="human/genome_annotation/exon.bed", repo_type="dataset" ) ``` ### Direct URL Access You can also construct direct URLs to download files: ```python import requests # Construct URL base_url = 'https://huggingface.co/datasets/InstaDeepAI/NTv3_benchmark_dataset/resolve/main' file_path = "human/functional_tracks/ENCSR628PLS.bigwig" url = f"{base_url}/{file_path}" # Download file response = requests.get(url) with open("local_file.bigwig", "wb") as f: f.write(response.content) ``` ## Available Tracks ### Human #### Functional Tracks Files are named by their S3 track ID (file_id). The mapping from track ID to track description can be found in the benchmark documentation. - `human/functional_tracks/ENCSR628PLS.bigwig` (GM18861_chromatin_accessibility) - `human/functional_tracks/ENCSR487QSB.bigwig` (GM18907_chromatin_accessibility) - `human/functional_tracks/ENCSR410DWV.bigwig` (motor_neuron_chromatin_accessibility) - `human/functional_tracks/ENCSR325NFE.bigwig` (bile_duct_chromatin_accessibility) - `human/functional_tracks/ENCSR814RGG.bigwig` (ureter_chromatin_accessibility) - `human/functional_tracks/ENCSR863PSM.bigwig` (BLaER1_H3K4me1) - `human/functional_tracks/ENCSR682BFG.bigwig` (motor_neuron_H3K4me1) - `human/functional_tracks/ENCSR754DRC.bigwig` (motor_neuron_H3K27ac) - `human/functional_tracks/ENCSR962OTG.bigwig` (motor_neuron_H3K4me3) - `human/functional_tracks/ENCSR046BCI_M.bigwig` (A673_PROcap_minus) - `human/functional_tracks/ENCSR046BCI_P.bigwig` (A673_PROcap_plus) - `human/functional_tracks/ENCSR100LIJ_M.bigwig` (Caco-2_PROcap_minus) - `human/functional_tracks/ENCSR100LIJ_P.bigwig` (Caco-2_PROcap_plus) - `human/functional_tracks/ENCSR935RNW_M.bigwig` (Calu3_PROcap_minus) - `human/functional_tracks/ENCSR935RNW_P.bigwig` (Calu3_PROcap_plus) - `human/functional_tracks/ENCSR114HGS_M.bigwig` (K562_PROcap_minus) - `human/functional_tracks/ENCSR114HGS_P.bigwig` (K562_PROcap_plus) - `human/functional_tracks/ENCSR799DGV_M.bigwig` (MCF10A_PROcap_minus) - `human/functional_tracks/ENCSR799DGV_P.bigwig` (MCF10A_PROcap_plus) - `human/functional_tracks/ENCSR154HRN_M.bigwig` (K562_HNRNPA1_eCLIP_minus) - `human/functional_tracks/ENCSR154HRN_P.bigwig` (K562_HNRNPA1_eCLIP_plus) - `human/functional_tracks/ENCSR249ROI_M.bigwig` (K562_HNRNPC_eCLIP_minus) - `human/functional_tracks/ENCSR249ROI_P.bigwig` (K562_HNRNPC_eCLIP_plus) - `human/functional_tracks/ENCSR321PWZ_M.bigwig` (K562_SRSF1_eCLIP_minus) - `human/functional_tracks/ENCSR321PWZ_P.bigwig` (K562_SRSF1_eCLIP_plus) - `human/functional_tracks/ENCSR484LTQ_M.bigwig` (K562_NCBP2_eCLIP_minus) - `human/functional_tracks/ENCSR484LTQ_P.bigwig` (K562_NCBP2_eCLIP_plus) - `human/functional_tracks/ENCSR862QCH_M.bigwig` (K562_U2AF1_eCLIP_minus) - `human/functional_tracks/ENCSR862QCH_P.bigwig` (K562_U2AF1_eCLIP_plus) - `human/functional_tracks/ENCSR527JGN_M.bigwig` (BLaER1_gene_expression_minus) - `human/functional_tracks/ENCSR527JGN_P.bigwig` (BLaER1_gene_expression_plus) - `human/functional_tracks/ENCSR701YIC.bigwig` (motor_neuron_gene_expression) - `human/functional_tracks/ENCSR619DQO_M.bigwig` (ureter_gene_expression_minus) - `human/functional_tracks/ENCSR619DQO_P.bigwig` (ureter_gene_expression_plus) #### Genome Annotations - `human/genome_annotation/exon.bed` (exon) - `human/genome_annotation/intron.bed` (intron) - `human/genome_annotation/splice_acceptor.bed` (splice_acceptor) - `human/genome_annotation/start_codon.bed` (start_codon) ### Chicken #### Functional Tracks - `chicken/functional_tracks/ERX9662174.bigwig` (bone_marrow_chromatin_accessibility) - `chicken/functional_tracks/ERX9662188.bigwig` (bone_marrow_gene_expression) - `chicken/functional_tracks/ERX9662177.bigwig` (heart_chromatin_accessibility) - `chicken/functional_tracks/ERX9662190.bigwig` (heart_gene_expression) - `chicken/functional_tracks/ERX9662178.bigwig` (kidney_chromatin_accessibility) - `chicken/functional_tracks/ERX9662192.bigwig` (kidney_gene_expression) - `chicken/functional_tracks/ERX9662183.bigwig` (testis_chromatin_accessibility) - `chicken/functional_tracks/ERX9662196.bigwig` (testis_gene_expression) - `chicken/functional_tracks/ERX9662185.bigwig` (thymus_chromatin_accessibility) - `chicken/functional_tracks/ERX9662198.bigwig` (thymus_gene_expression) - `chicken/functional_tracks/ERX9662186.bigwig` (trachea_chromatin_accessibility) - `chicken/functional_tracks/ERX9662200.bigwig` (trachea_gene_expression) - `chicken/functional_tracks/ERX9662180.bigwig` (uterus_chromatin_accessibility) - `chicken/functional_tracks/ERX9662194.bigwig` (uterus_gene_expression) ### Arabidopsis #### Functional Tracks - `arabidopsis/functional_tracks/SRR13808079.bigwig` (flower_mature_riboseq) - `arabidopsis/functional_tracks/SRR13808080.bigwig` (flower_mature_riboseq_2) - `arabidopsis/functional_tracks/SRR13808081.bigwig` (fruit_mature_riboseq) - `arabidopsis/functional_tracks/SRR13808084.bigwig` (root_mature_riboseq) ### Rice #### Functional Tracks - `rice/functional_tracks/SRR13808064.bigwig` (leaf_V2_stage_riboseq) - `rice/functional_tracks/SRR13808065.bigwig` (leaf_V2_stage_riboseq_2) - `rice/functional_tracks/SRR13808066.bigwig` (leaf_booting_stage_riboseq_2) - `rice/functional_tracks/SRR13808067.bigwig` (leaf_booting_stage_riboseq) - `rice/functional_tracks/SRR13808068.bigwig` (root_V2_stage_riboseq) - `rice/functional_tracks/SRR13808069.bigwig` (seedling_V2_stage_riboseq) - `rice/functional_tracks/SRR13808070.bigwig` (sheath_V2_stage_riboseq) - `rice/functional_tracks/SRR13808072.bigwig` (sheath_V2_stage_riboseq_2) - `rice/functional_tracks/SRR13808073.bigwig` (sheath_booting_stage_riboseq) - `rice/functional_tracks/SRR13808074.bigwig` (sheath_booting_stage_riboseq_2) - `rice/functional_tracks/SRR13808075.bigwig` (spikelet_booting_stage_riboseq) - `rice/functional_tracks/SRR13808076.bigwig` (spikelet_booting_stage_riboseq_2) - `rice/functional_tracks/SRR13808077.bigwig` (stem_booting_stage_riboseq) - `rice/functional_tracks/SRR13808078.bigwig` (stem_booting_stage_riboseq_2) ### Maize #### Functional Tracks - `maize/functional_tracks/SRR13808051.bigwig` (ear_V12_stage_riboseq) - `maize/functional_tracks/SRR13808052.bigwig` (ear_V12_stage_riboseq_2) - `maize/functional_tracks/SRR13808056.bigwig` (root_14days_riboseq) - `maize/functional_tracks/SRR13808058.bigwig` (seedling_14days_riboseq) - `maize/functional_tracks/SRR13808059.bigwig` (stem_14days_riboseq) - `maize/functional_tracks/SRR13808061.bigwig` (stem_14days_riboseq_2) - `maize/functional_tracks/SRR13808062.bigwig` (tassel_V12_stage_riboseq) - `maize/functional_tracks/SRR13808063.bigwig` (tassel_V12_stage_riboseq_2) ### Tomato #### Functional Tracks - `tomato/functional_tracks/SRX27799703.bigwig` (fruit_0DPA_chromatin_accessibility) - `tomato/functional_tracks/SRX29291440.bigwig` (fruit_0DPA_MicroTom_gene_expression) - `tomato/functional_tracks/SRX29291439.bigwig` (fruit_0DPA_MicroTom_gene_expression_2) - `tomato/functional_tracks/SRX29291438.bigwig` (fruit_0DPA_MicroTom_gene_expression_3) - `tomato/functional_tracks/SRX27799731.bigwig` (fruit_10DPA_chromatin_accessibility) - `tomato/functional_tracks/SRX29291448.bigwig` (fruit_10DPA_MicroTom_gene_expression) - `tomato/functional_tracks/SRX29291447.bigwig` (fruit_10DPA_MicroTom_gene_expression_2) - `tomato/functional_tracks/SRX29291446.bigwig` (fruit_10DPA_MicroTom_gene_expression_3) - `tomato/functional_tracks/SRX29291431.bigwig` (fruit_15DPA_MicroTom_gene_expression) - `tomato/functional_tracks/SRX29291430.bigwig` (fruit_15DPA_MicroTom_gene_expression_2) - `tomato/functional_tracks/SRX29291445.bigwig` (fruit_15DPA_Wild_LA1781_gene_expression) - `tomato/functional_tracks/SRX29291442.bigwig` (fruit_15DPA_Wild_LA1781_gene_expression_2) - `tomato/functional_tracks/SRX27799722.bigwig` (fruit_3DBA_chromatin_accessibility) - `tomato/functional_tracks/SRX27799719.bigwig` (fruit_3DPA_chromatin_accessibility) - `tomato/functional_tracks/SRX27799727.bigwig` (fruit_5DPA_chromatin_accessibility) - `tomato/functional_tracks/SRX29291444.bigwig` (fruit_5DPA_MicroTom_gene_expression) - `tomato/functional_tracks/SRX29291443.bigwig` (fruit_5DPA_MicroTom_gene_expression_2) - `tomato/functional_tracks/SRX29291441.bigwig` (fruit_5DPA_MicroTom_gene_expression_3) - `tomato/functional_tracks/SRX27799718.bigwig` (fruit_7DPA_chromatin_accessibility) - `tomato/functional_tracks/SRX27799733.bigwig` (leaf_chromatin_accessibility) #### Genome Annotations - `tomato/genome_annotation/exon.bed` (exon) - `tomato/genome_annotation/intron.bed` (intron) - `tomato/genome_annotation/splice_acceptor.bed` (splice_acceptor) - `tomato/genome_annotation/start_codon.bed` (start_codon) ### Cattle #### Genome Annotations - `cattle/genome_annotation/exon.bed` (exon) - `cattle/genome_annotation/intron.bed` (intron) - `cattle/genome_annotation/splice_acceptor.bed` (splice_acceptor) - `cattle/genome_annotation/start_codon.bed` (start_codon) ## Track Information ### Functional Tracks Functional tracks include: - Chromatin Accessibility tracks - Histone modifications (H3K4me1, H3K4me3, H3K27ac) - Transcription initiation (PRO-cap) - RNA binding sites (eCLIP) - Gene Expression - mRNA translation (Ribo-seq) ### Genome Annotations Genome annotation tracks include: - Exon - Intron - Splice Acceptor - Start Codon ## Notes - BigWig files can be read using libraries like `pyBigWig` - BED files can be read using `pyranges` or `pandas` - All tracks are in the same coordinate system as specified in the benchmark