| 1. | Concurring with expectations, the degree of polymorphism was highest in the central .
正如所料，多型性程度在中部种群中最高。 |
| 2. | Differences with regard to the incidence of natural inversion polymorphism are likely to exist between species as well as between sub-species .
自然倒位多型性的发生率在种间以及亚种间可能不同。 |
| 3. | But such single - nucleotide polymorphism ( snp ) profiles can be deceptive , duster warns
但达斯特提出警告，这种单核苷酸多型性的剖析可能会有错误。 |
| 4. | Recent snps analysis tools are transforming the traditional genotyping and resequencing in the same way as expression arrays
有关单点核苷酸多型性的新进分析工具，将传统的基因型?定资料与微阵列基因表现资料做同样的转换。 |
| 5. | Based on poor glandular formation , necrosis , cellular atypia , nuclear pleomorphism , invasion of soft tissue and bone , and vascular permeation
主要基于腺管的结构分化不良，坏死，细胞异型性，核多型性，软组织和骨浸润以及血管浸润。 |
| 6. | Snps are dna sequences that differ by a single nucleotide , or code letter , between one part of a population and another
这种标志称为单核苷酸多型性（ snp ） ，指的是族群中部份成员与其他成员的dna序列上，只出现一个核苷酸（编码字母）的差异。 |
| 7. | The massive amount of high - throughput microarray , snps and other biological data bring a great challenge of developing advanced statistical and computational data mining tools
大量的高产能微阵列、单点核苷酸多型性及其他生物资料也对高级统计计算之资料探勘工具产生极大的挑战。 |
| 8. | Based on the currently developed user friendly statistical analysis platform gears for microarray gene expression data , the gstcd firstly seeks to expand the platform from microarray gene expression studies to snps data analysis
所以，统计团队将扩充目前已发展出的微阵列基因表现资料之统计分析平台，俾便分析单点核苷酸多型性资料。 |
| 9. | Varieties of flowering colors present cline . specially , variations of flowering colors within puer population are many and varied . longs and widths of perianths as well as longs of stamens are continuous variation of quantitative characters
结果表明：居群内各种形态性状都具有丰富的多态性，居群间具有明显的多型性；花色呈梯度变异，特别是普洱居群花色变异式样最丰富；花被片的长与宽和雄蕊的长度是数量性状的连续变异。 |
