基因组元件分类
Genomic element classification
Classify sequence windows as promoters, enhancers, exons, introns or other genomic elements.
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- 协议
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任务体系
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58 / 58 个任务
Genomic element classification
Classify sequence windows as promoters, enhancers, exons, introns or other genomic elements.
Promoter recognition
Recognize promoter sequence windows; promoter activity is counted separately under D3.
Enhancer recognition
Recognize enhancer sequence windows independent of quantitative activity.
TF binding-site prediction
Predict sequence-specific TF occupancy or binding sites.
Chromatin accessibility prediction
Predict cell-type-specific accessible chromatin from DNA sequence.
Histone-mark prediction
Predict histone-mark assay signal from sequence.
Splice-site prediction
Predict splice donor and acceptor positions.
Alternative splicing pattern prediction
Predict splice pattern or exon inclusion without a specific variant perturbation.
Polyadenylation-site prediction
Locate or rank polyadenylation sites.
ncRNA family classification
Assign ncRNA sequences to functional families.
RNA modification-site prediction
Predict modification status at candidate nucleotides.
RNA subcellular localization
Predict RNA localization from sequence or sequence-derived representations.
Sequence motif discovery
Recover interpretable motifs rather than only predictive scores.
RNA secondary-structure base-pair prediction
Predict base pairs or dot-bracket secondary structure.
RNA non-canonical base-pair prediction
Predict non-canonical pair identities and contacts.
RNA contact or distance-map prediction
Predict pairwise contacts or distances without full coordinates.
RNA 3D coordinate prediction
Predict RNA 3D coordinates from sequence and optional auxiliary inputs.
DNA shape prediction
Predict local DNA shape features.
3D genome contact prediction
Predict Hi-C-like contact patterns from long sequence.
RNA probing-reactivity prediction
Predict chemical probing reactivity.
RNA 3D model quality assessment
Rank or score candidate RNA 3D models.
RNA conformational ensemble prediction
Predict multiple conformers or a conformational distribution.
All-atom nucleic-acid complex structure prediction
Predict complexes containing DNA/RNA and proteins, ligands or other nucleic acids.
Promoter activity prediction
Predict quantitative promoter activity.
Enhancer activity prediction
Predict quantitative enhancer activity, often cell-type specific.
Sequence-to-gene-expression prediction
Predict expression from cis-regulatory DNA context.
mRNA stability or half-life prediction
Predict RNA abundance decay or half-life.
Translation efficiency or ribosome-load prediction
Predict mean ribosome loading or translation efficiency.
Alternative polyadenylation quantification
Predict relative poly(A) site usage.
RNA degradation and vaccine-stability prediction
Predict degradation-related measurements as in OpenVaccine.
Ribozyme activity prediction
Predict activity of ribozymes or catalytic RNAs.
Programmable RNA-switch function prediction
Predict function of toehold or related RNA switches.
Nucleic-acid fitness prediction
Predict assay-specific sequence fitness; mutation-specific RNA DMS is cross-referenced to D4.
Regulatory variant-effect prediction
Predict effects of non-coding variants on regulatory activity.
Expression variant-effect prediction
Predict variant-induced expression changes.
Splicing variant-effect prediction
Predict variant effects on splicing.
RNA-binding variant-effect prediction
Predict variant effects on RBP binding.
RNA DMS effect prediction
Predict mutation effects across RNA deep-mutational-scanning assays.
Molecular functional or pathogenic variant interpretation
Restricted here to molecular/functional challenges; patient-level diagnosis and PRS are excluded.
Evolutionary constraint and conservation prediction
Predict evolutionary constraint at nucleotide resolution.
TF–DNA binding specificity
Predict TF–DNA specificity across factors and sequences.
RNA–protein binding prediction
Predict RBP–RNA binding or binding sites.
RNA–RNA interaction prediction
Predict intermolecular RNA pairing or interaction.
RNA–small-molecule binding prediction
Predict whether and how strongly small molecules bind RNA.
Aptamer–target affinity prediction
Predict aptamer binding to proteins or other targets.
Nucleic-acid–protein interface or docking
Predict interaction interface or relative pose.
Nucleic-acid–small-molecule docking
Predict ligand poses in nucleic-acid targets.
Promoter sequence design
Design promoters for a target activity.
Enhancer or cis-regulatory design
Design cis-regulatory sequences for desired activity.
5′UTR and translation-control design
Design 5′UTRs for target translation.
mRNA coding and stability co-design
Design coding and untranslated regions jointly under therapeutic constraints.
RNA secondary-structure inverse folding
Generate sequences expected to fold into a target secondary structure.
RNA 3D-conditioned design
Generate sequences conditioned on a target tertiary structure.
Aptamer design
Generate aptamers for a chosen target.
CRISPR guide on-target design
Design guides for high on-target efficiency.
CRISPR guide off-target design
Design or rank guides to minimize off-target activity.
siRNA, ASO or shRNA design
Design therapeutic oligonucleotides; chemistries remain dataset-specific.
Programmable RNA-switch design
Design RNA switches or sensors with target response.
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