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مقایسه شاخ‌به‌شاخ مدل‌های زیستی، موتورهای داکینگ و پایپ‌لاین‌های محاسباتی. فیلتر بر اساس مدل دسترسی، مصرف پردازشی و دسته‌بندی جهت اخذ تصمیم دقیق در کمتر از یک دقیقه.
| مشخصه | ＋ افزودن ابزار | |||
|---|---|---|---|---|
| Category | Genomics & Bioinformatics | Genomics & Bioinformatics | Genomics & Bioinformatics | — |
| Subcategory | Variant Interpretation | Regulatory Genomics | Conventional or Statistical Baselines | — |
| Company | Illumina | Google DeepMind | Research / method authors | — |
| Access mode | Public code / project terms | Research code or publication | Confirm distribution and exact release | — |
| Licence conditions | Review the linked release, model weights, datasets and service terms separately | Check code and model weights separately | NOT_INDEPENDENTLY_AUDITED | — |
| Compute requirements | Consult linked installation guidance; workload dependent | Check selected checkpoint and runtime; no GPU catalog recommendation | Version and data dependent | — |
| Biological application | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Research workflow | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Evidence level | Project or provider documentation; no local performance benchmark | Peer-reviewed primary method | PEER_REVIEWED_METHOD_OR_CONFERENCE | — |
| Commercial eligibility | Not independently confirmed | Unknown, requires audit | NOT_INDEPENDENTLY_AUDITED | — |
| Price | See project terms; compute costs may apply | Check selected model licence | Verify access and licence | — |
| Availability ⓘ | See project access and maintenance status | Public research method/code | Method paper or official documentation | — |
| Features | Deep-learning prediction of splice-altering variants, Input: Sequence variants and compatible reference genome, Output: Predicted splice-site changes and scores | Predicts genomic regulatory tracks and predicted functional effects of noncoding DNA variants., Genomic regulatory track, sequence-variant contrast | bcftools scientific method, Reference genome with aligned short-read input and correct ploidy assumptions, VCF/BCF variant calls and variants QC operations | — |
| Entry type | Research software / model | Research AI model / method | Classical/statistical scientific method | — |
| AI role | Scientific machine learning | Published biomedical AI method | NON_AI_STATISTICAL | — |
| Input data | Sequence variants and compatible reference genome | DNA sequence interval; alleles and tissue/assay ontology | Reference genome with aligned short-read input and correct ploidy assumptions | — |
| Output data | Predicted splice-site changes and scores | Genomic regulatory track; sequence-variant contrast | VCF/BCF variant calls and variants QC operations | — |
| Validation | Evaluate on representative data; no clinical suitability established | Requires independent dataset-specific evaluation | Published method scope; no independent BioAtlas execution or benchmark | — |
| Type | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Intended use | Biological and pharmaceutical research | ثبت‌نشده | ثبت‌نشده | — |
| Compatibility | ثبت‌نشده | ثبت‌نشده | ثبت‌نشده | — |
| Limitations | Code and pretrained model terms differ; predictions alone do not determine pathogenicity. | ثبت‌نشده | ثبت‌نشده | — |