Bacillus Unannotated Protvec Model

Protvec model  trained using 425,000 sequences from the Genome Taxonomy Database (GTDB). Sequences were dereplicated at 70% using CDHIT and filtered to remove sequences containing 'X', sequences shorter than 30 amino acids and sequences longer than 1024 amino acids. 

Training used a vector size of 100 and a context size of 25 to produce a dictionary object containing a 100-dimensional vector for each 3-mer present in the training data. 

Model is stored as a .pkl file which can be imported using the Python pickle module.

本数据集采用 Protvec 模型进行训练，该模型基于来自基因组分类数据库（GTDB）的425,000条序列。通过CDHIT算法在70%的序列上进行去冗余处理，并筛选掉包含字符'X'的序列、长度小于30个氨基酸的序列以及长度超过1024个氨基酸的序列。在训练过程中，采用100维的向量尺寸和25个上下文大小，以生成包含训练数据中每个三联体（3-mer）的100维向量的字典对象。该模型以.pkl文件格式存储，可使用Python的pickle模块进行导入。