发音：/proʊtəˌtaɪp/^tophonetics

1. A method for checking the accuracy and quality of your data, typically performed prior to importing and processing. It can also be considered a form of data cleansing.

2. It ensures that your data is complete (no blank or null values), unique (contains distinct values that are not duplicated), and the range of values is consistent with what you expect. 

3. Often, data validation is used as a part of processes such as ETL (Extract, Transform, and Load) where you move data from a source database to a target data warehouse so that you can join it with other data for analysis. Data validation helps ensure that when you perform analysis, your results are accurate.

发音：/haɪ-ˈθruːpʊt ˈsiːkwənsɪŋ/ ^tophonetics

1. 高通量测序。。一次并行对几十万到几百万条DNA分子进行序列测定和一般读长较短等为标志。.

2. 又称“下一代”测序技术（"Next-generation" sequencing technology），是对传统Sanger测序（一代测序技术）的革命性提升和改变。

3. 是一次并行对几十万到几百万条核酸分子进行序列测定。