Improving Silkworm Genome Annotation Using a Proteogenomics Approach

2019 ◽  
Vol 18 (8) ◽  
pp. 3009-3019 ◽  
Author(s):  
Xiaogang Ye ◽  
Xiaoli Tang ◽  
Xiaoxiao Wang ◽  
Jiaqian Che ◽  
Meiyu Wu ◽  
...  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Michael F. Z. Wang ◽  
Madhav Mantri ◽  
Shao-Pei Chou ◽  
Gaetano J. Scuderi ◽  
David W. McKellar ◽  
...  

AbstractConventional scRNA-seq expression analyses rely on the availability of a high quality genome annotation. Yet, as we show here with scRNA-seq experiments and analyses spanning human, mouse, chicken, mole rat, lemur and sea urchin, genome annotations are often incomplete, in particular for organisms that are not routinely studied. To overcome this hurdle, we created a scRNA-seq analysis routine that recovers biologically relevant transcriptional activity beyond the scope of the best available genome annotation by performing scRNA-seq analysis on any region in the genome for which transcriptional products are detected. Our tool generates a single-cell expression matrix for all transcriptionally active regions (TARs), performs single-cell TAR expression analysis to identify biologically significant TARs, and then annotates TARs using gene homology analysis. This procedure uses single-cell expression analyses as a filter to direct annotation efforts to biologically significant transcripts and thereby uncovers biology to which scRNA-seq would otherwise be in the dark.


Genomics ◽  
2020 ◽  
Author(s):  
Xinshuai Zhang ◽  
Yao Ruan ◽  
Wukang Liu ◽  
Qian Chen ◽  
Lihong Gu ◽  
...  

2004 ◽  
Vol 101 (6) ◽  
pp. 1650-1655 ◽  
Author(s):  
B. J. Hwang ◽  
H.-M. Muller ◽  
P. W. Sternberg

2007 ◽  
Vol 35 (Web Server) ◽  
pp. W201-W205 ◽  
Author(s):  
C. D. Schmid ◽  
T. Sengstag ◽  
P. Bucher ◽  
M. Delorenzi

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Marcel Huntemann ◽  
Natalia N. Ivanova ◽  
Konstantinos Mavromatis ◽  
H. James Tripp ◽  
David Paez-Espino ◽  
...  

2009 ◽  
Vol 46 (1) ◽  
pp. S2-S13 ◽  
Author(s):  
Jennifer Russo Wortman ◽  
Jane Mabey Gilsenan ◽  
Vinita Joardar ◽  
Jennifer Deegan ◽  
John Clutterbuck ◽  
...  

2004 ◽  
Vol 33 (Database issue) ◽  
pp. D75-D79 ◽  
Author(s):  
P. Kim

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Juanjuan Chai ◽  
Guruprasad Kora ◽  
Tae-Hyuk Ahn ◽  
Doug Hyatt ◽  
Chongle Pan
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