string2string Studio：一款用于字符串到字符串算法的交互式浏览器内平台
string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms
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中文总结 AI 辅助
string2string Studio是一款开源浏览器内字符串到字符串分析平台，集成六大模块，核心操作本地运行，速度远超Python前身，可用于多领域算法的检查、调试与比较。
中文摘要 AI 辅助
我们推出string2string Studio，这是一款适用于自然语言处理、计算生物学和数字人文学科的字符串到字符串分析交互式浏览器内平台。该系统集成了六大核心模块（对齐、距离、相似度、搜索、生成指标及BLAST同源性搜索），可在字符、单词、token、行及残基层面运行。其基于C++的算法编译为WebAssembly，因此核心操作默认在本地运行，无需任何安装或数据上传。界面会报告分数及其“证据”（对齐结果、编辑路径、指标匹配项、搜索命中项及同源性轨迹），使得方法可检查、可调试，并能在共享输入上进行比较。内部基准测试显示，相比Python前身，其速度提升最高达2500倍，全局/局部对齐速度快于通用原生C对齐器，且在声明的设置下与独立参考完全一致。对于同源性搜索，限定范围的客户端blastn路径在匹配参数下与NCBI BLAST+的排名及统计数据高度吻合。精心策划的展示区和学习模式将经典算法与指标呈现为可复用的演示。string2string Studio为开源项目，可在此http URL免费获取。
英文摘要
We present string2string Studio, an interactive in-browser platform for string-to-string analysis across natural language processing, computational biology, and the digital humanities. The system integrates six main modules (alignment, distance, similarity, search, generation metrics, and BLAST homology search), operating at character, word, token, line, and residue levels. Its C++-based algorithms compile to WebAssembly, so core operations run locally by default without any installation or data upload. The interface reports scores with their "evidence" (alignments, edit paths, metric matches, search hits, and homology traces), making methods inspectable, debuggable, and comparable on shared inputs. Internal benchmarks show speedups of up to 2,500x over the Python predecessor, faster global/local alignment than a general-purpose native C aligner, and exact agreement with independent references under declared settings. For homology search, the scoped client-side blastn path closely matches NCBI BLAST+ rankings and statistics under matched parameters. A curated showcase and Learn mode present canonical algorithms and metrics as reusable demonstrations. string2string Studio is open-source and freely available at string2string.org.
