说明 (NOTES): |
本网站用于科学研究(This website is constructed for Scientific Research)。 |
Go to IOCMIN.
IOCMIN: Identification of Conserved Motifs in Networks
Go to ALDB database.
ALDB: a domestic-animal long noncoding RNA database
Aimin Li, Junying Zhang*, Zhongyin Zhou, Lei Wang, Yujuan Liu, Yajun Liu.
ALDB: A Domestic-Animal Long Noncoding RNA Database. Plos One, 2015, 10(4): e0124003.
(IF 2015= 3.057,中科院大类分区=3,小类分区=3,被引用次数=61)
Full text: https://doi.org/10.1371%2Fjournal.pone.0124003
Go to miRBond database.
Genome-scale identification of miRNA–mRNA and miRNA–lncRNA interactions in domestic animals
Aimin Li, Junying Zhang*, Zhongyin Zhou, Lei Wang, Xiaohan Sun, Yujuan Liu.
Genome-scale identification of miRNA-mRNA and miRNA-lncRNA interactions in domestic animals.
Animal Genetics, 2015, 46(6): 716~719.
(IF 2015=1.779,中科院大类分区=3,小类分区=2)
Full text: https://doi.org/10.1111%2Fage.12329
Go to pigvar database.
THE PIG VARIATIONS AND POSITIVE SELECTION DATABASE
Zhongyin Zhou#, Aimin Li#, Yanhu Liu, DM Irwin, Lu Wang, AC Adeola, Junying Zhang, Haibing Xie*, Ya-Ping Zhang*.
PigVar: a database of pig variations and positive selection signatures.
Database, 2017, 2017: bax048.
(IF 2017=3.978,中科院大类分区=2,小类分区=2) Published: June 13, 2017.
Fulll text: https://doi.org/10.1093%2Fdatabase%2Fbax048
Go to plek software.
predictor of long non-coding RNAs and messenger RNAs based on an improved k-mer scheme
Aimin Li, Junying Zhang*, Zhongyin Zhou.
PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme.
BMC Bioinformatics, 2014, 15(1): 311~314.
(IF 2015=2.435,中科院大类分区=3,小类分区=2,被引用次数=196, ESI 1%高被引论文)
Full text: https://doi.org/10.1186%2F1471-2105-15-311
Go to rattransc database.
RatTransc: a rat long noncoding RNA database
Aimin Li#*, Zhongyin Zhou#, Xinhong Hei#, Newton O. Otecko, Junying Zhang, Yajun Liu, Hongfang Zhou, Zhiqiang Zhao, Lei Wang*.
Genome-wide discovery of long intergenic noncoding RNAs and their epigenetic signatures in the rat.
Scientific Reports, 2017, 7(1): 14817.
(IF 2017= 4.122,中科院大类分区=3,小类分区=3)
Full text: https://doi.org/10.1038/s41598-017-13844-9
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