从科研问题到技术栈落地方案
构建您的生物计算科研工作流程
以经同行评议发表的权威证据为纽带，打通算法软件、计算资源与湿实验闭环。工作流程是选型规划指南，非直接执行的实验规程。
Research workflow suitability and Decision Passport
The previous fixed-template workflow scorer cannot establish comparative scientific suitability. For a task-specific assessment, enter the biological objective, the actual sample/data modalities and method constraints in the offline Decision Lab. Select the reviewed method deliberately and compare it against a mandatory non-AI baseline.
Open scientific Decision LabHistorical workflow templates are examples, not validated executable pipelines, clinical decisions or ranked model recommendations.
生命科学AI三大核心技术支柱
计算生物学行业标准技术架构方案
共记录 6 条完整路径 · 评测证据与技术笔记录入于2026年9月。商业可用性需根据具体模型官方许可条款逐案确认。
Provider-tested configuration
Predict biomolecular structures
AlphaFold 3 documentation lists a single H100 80 GB as an officially supported inference configuration. Other H100 variants are not established by this evidence.
1 · 初始输入数据
Biomolecular sequences and supported molecular inputs, with sequence-search preparation.
2 · 核心软件与算力需求
H100 80 GB; CPU/RAM and sequence databases are also required. Larger inputs can require configuration changes.
3 · 计算输出成果
Predicted structures for scientific review.
4 · 湿实验交接验证
Editorial next step: select an appropriate structural or functional validation assay with the research team. No direct instrument integration has been verified.
知识产权与商用许可
Code and model parameters have separate terms. Parameter access must be obtained from the provider; commercial eligibility is not established here.
各项成本构成
GPU access, CPU preparation, sequence storage and researcher time; no live price estimate.
方法学局限与边界
Hardware support is not evidence of accuracy for a particular biological target. No local benchmark was run.
查阅原始文献与基准证据 ↗
Provider implementation example
Run protein-folding workflows in the cloud
AWS documents AlphaFold2 and OpenFold workflows on SageMaker. This evidence does not establish AlphaFold 3 compatibility.
1 · 初始输入数据
Protein sequences and the chosen workflow's reference data.
2 · 核心软件与算力需求
Workflow-specific cloud instances, storage and orchestration; verify current instance availability and dependencies.
3 · 计算输出成果
Structure predictions and tracked experiments.
4 · 湿实验交接验证
Editorial next step: choose experimental validation based on the biological question. No automatic laboratory handoff is documented here.
知识产权与商用许可
AWS service terms and each model/data licence must be evaluated separately.
各项成本构成
Instance runtime, storage, data transfer and idle resources; confirm regional prices.
方法学局限与边界
Historical implementation example; not a guarantee that the original deployment instructions still run unchanged.
查阅原始文献与基准证据 ↗
Manufacturer-listed research
Connect cellular imaging to machine-learning analysis
Revvity lists research combining Opera Phenix imaging with machine learning. AI analysis is a workflow component, not assumed to be included in every instrument configuration.
1 · 初始输入数据
Prepared biological samples and an imaging assay.
2 · 核心软件与算力需求
Analysis workstation or server requirements depend on the selected pipeline and image volume; not yet verified.
3 · 计算输出成果
Cellular images and analysis-dependent measurements.
4 · 湿实验交接验证
Imaging is the laboratory step. Confirm assay design, controls, sample formats and export compatibility before linking an analysis tool.
知识产权与商用许可
Instrument, analysis software and model licences require separate confirmation.
各项成本构成
Instrument quotation, maintenance, consumables, analysis software and compute.
方法学局限与边界
Publication-list evidence, not an independently reproduced benchmark or verified plug-and-play integration.
查阅原始文献与基准证据 ↗
Project documentation; editorial evaluation plan
Evaluate cell segmentation
Compare these alternative analysis tools on the same images; no cross-tool interoperability is asserted.
1 · 初始输入数据
Microscopy images with representative expert annotations
2 · 核心软件与算力需求
Select the release and dataset size before sizing CPU, GPU, RAM and storage; no hardware configuration verified here.
3 · 计算输出成果
Segmentation masks or workflow-specific classifications
4 · 湿实验交接验证
Editorial next step: review results against independent annotations, truth sets or relevant experiments. No automatic laboratory integration is established.
知识产权与商用许可
Confirm the selected code, model and data terms separately.
各项成本构成
Compute, storage, annotation and researcher time; no current price estimate.
方法学局限与边界
Tools are not locally benchmarked; this path describes an evaluation plan and does not assert clinical validity or superiority.
查阅原始文献与基准证据 ↗
Project documentation; editorial evaluation plan
Evaluate single-cell representations
These are alternative research approaches. Batch effects and held-out donor evaluation must be considered; a direct pipeline between them is not verified.
1 · 初始输入数据
Quality-controlled single-cell expression data
2 · 核心软件与算力需求
Select the release and dataset size before sizing CPU, GPU, RAM and storage; no hardware configuration verified here.
3 · 计算输出成果
Model-specific embeddings or downstream predictions
4 · 湿实验交接验证
Editorial next step: review results against independent annotations, truth sets or relevant experiments. No automatic laboratory integration is established.
知识产权与商用许可
Confirm the selected code, model and data terms separately.
各项成本构成
Compute, storage, annotation and researcher time; no current price estimate.
方法学局限与边界
Tools are not locally benchmarked; this path describes an evaluation plan and does not assert clinical validity or superiority.
查阅原始文献与基准证据 ↗
Project documentation; editorial evaluation plan
Evaluate a variant-calling pipeline
Choose the sequencing-platform model and compare to appropriate reference truth data; this is not clinical interpretation.
1 · 初始输入数据
Aligned reads, reference genome and platform-matched model
2 · 核心软件与算力需求
Select the release and dataset size before sizing CPU, GPU, RAM and storage; no hardware configuration verified here.
3 · 计算输出成果
Genetic variant calls
4 · 湿实验交接验证
Editorial next step: review results against independent annotations, truth sets or relevant experiments. No automatic laboratory integration is established.
知识产权与商用许可
Confirm the selected code, model and data terms separately.
各项成本构成
Compute, storage, annotation and researcher time; no current price estimate.
方法学局限与边界
Tools are not locally benchmarked; this path describes an evaluation plan and does not assert clinical validity or superiority.
查阅原始文献与基准证据 ↗
