Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Archer J. Wang"'
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Caenorhabditis elegans is an excellent research model whose populations have been used in many studies to address various biological questions. Although worm-to-worm phenotypic variations in isogenic populations have been persiste
Externí odkaz:
https://doaj.org/article/cb16a3aba66d44048811d6e5c9271b50
Autor:
Carol Smith, Jill G Canestrari, Archer J Wang, Matthew M Champion, Keith M Derbyshire, Todd A Gray, Joseph T Wade
Publikováno v:
eLife, Vol 11 (2022)
Most bacterial ORFs are identified by automated prediction algorithms. However, these algorithms often fail to identify ORFs lacking canonical features such as a length of >50 codons or the presence of an upstream Shine-Dalgarno sequence. Here, we us
Externí odkaz:
https://doaj.org/article/f95ff1f8c0b54ab4835c1b705bd552f1
Autor:
Archer J Wang, Jill G Canestrari, Carol Smith, Matthew M Champion, Keith M Derbyshire, Todd A Gray, Joseph T Wade
Publikováno v:
eLife. 11
Most bacterial ORFs are identified by automated prediction algorithms. However, these algorithms often fail to identify ORFs lacking canonical features such as a length of >50 codons or the presence of an upstream Shine-Dalgarno sequence. Here, we us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9880fc2cb23634e60f3f178421505bac
https://doi.org/10.7554/elife.73980
https://doi.org/10.7554/elife.73980
Autor:
Carol, Smith, Jill G, Canestrari, Archer J, Wang, Matthew M, Champion, Keith M, Derbyshire, Todd A, Gray, Joseph T, Wade
Publikováno v:
eLife. 11
Most bacterial ORFs are identified by automated prediction algorithms. However, these algorithms often fail to identify ORFs lacking canonical features such as a length of50 codons or the presence of an upstream Shine-Dalgarno sequence. Here, we use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::690d2930d010559298526d2ff335766a
https://pubmed.ncbi.nlm.nih.gov/35343439
https://pubmed.ncbi.nlm.nih.gov/35343439