戻る
「早戻しボタン」を押すと検索画面に戻ります。

今後説明を表示しない

[OK]

コーパス検索結果 (1語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 son of interest was not recorded in forensic DNA database.
2 ne sequence from the unannotated C. albicans DNA database.
3 is compatible with the data format of the UK DNA database.
4 own genes and those not described in current DNA databases.
5 R using primers designed from information in DNA databases.
6 own genes and those not described in current DNA databases.
7 ally edited and searched against protein and DNA databases.
8  no significant homologies to known genes in DNA databases.
9 R products with gene sequences accessible in DNA databases.
10 rved sequence of oleosins to locate, via the DNA database, all 16 oleosin genes in the Arabidopsis ge
11                                              DNA database analysis revealed that this clone has 86% i
12                                              DNA database analysis reveals that target sites are pres
13 he algorithm, called mcast, takes as input a DNA database and a collection of binding site motifs tha
14 lts underscore the utility of mining genomic DNA databases and reveal FGF-20 to be a novel oncogene t
15 the GenBank and expressed sequence tag (EST) DNA databases and their nightly updates using the tfastx
16  known minisatellites in a large, downloaded DNA database, and PCR amplification supported the genera
17 nown and novel AEGs, not reported in current DNA databases, are described that display early or late
18                         The expansion of the DNA database arising as a result of the human genome seq
19                              These reference DNA databases contain a total of 3545 alignments, compri
20 simple approach to screen any microsatellite DNA database for parthenogens, which will enable hypothe
21 resent an algorithm that efficiently scans a DNA database for short (approximately 20-30 base) sequen
22 omputer program was designed to search large DNA databases for consensus -1 ribosomal frameshift sign
23 imScan) is specialized for searching massive DNA databases for distant similarities.
24 y complexity of crude venoms and the lack of DNA databases for many of the organisms of interest pres
25  widely used tools for searching protein and DNA databases for sequence similarities.
26                          Publicly accessible DNA databases (genome browsers) are rapidly accelerating
27                                              DNA databases have relatively low dimensionality; the ge
28  the profile with the DNA profiles held on a DNA Database in as little as 3 h.
29 e database, translating each sequence in the DNA database in six frames and scoring alignments with g
30            Searching DNA sequences against a DNA database is an essential element of sequence analysi
31                                  Noncriminal DNA databases may serve a societal role in identifying v
32                  Searches of the protein and DNA databases reveal a rapidly growing family of homolog
33 ch can be used to assess the significance of DNA database search results.
34 ces are usually undesirable in the output of DNA database searches.
35       A search of the Caenorhabditis elegans DNA databases, using the sequences of Arabidopsis genes,
36 arches of expressed sequence tag and genomic DNA databases, we have identified two sequences in mamma
37 n a yeast two-hybrid screen and by searching DNA databases, we identified a family of 26 human F-box

WebLSDに未収録の専門用語(用法)は "新規対訳" から投稿できます。