THE COLLECTION OF COMMON GENOME ANNOTATION
Genome GTF Rfam Structures RNAs Index Useful Softwares

rRNA

Human and mouse rRNA copies are collected from SILVA. And precursor rRNA from NCBI is collected. The matured rRNA is the spliced from pre-rRNA. Below is structure of pre-rRNA.

 5_spacer(5'ETS)    18S    spacer_1(ITS1)   5.8S    spacer_2(ITS2)    28S    3_spacer(3'ETS)            IGS                SP      IGS      UCE/CPE
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rRNA sequences are located in /150T/zhangqf/GenomeAnnotation/rRNA

tRNA

Human and mouse tRNAs are collected from Gencode and GtRNAdb. GtRNAdb contains tRNA gene predictions made by tRNAscan-SE on complete or nearly complete genomes. Unless otherwise noted, all annotation is automated, and has not been inspected for agreement with published literature. Predicted secondary structures are also provided.

tRNA sequences and structures are located in /150T/zhangqf/GenomeAnnotation/tRNA

human Asp tRNA

human Leu tRNA

miRNA

miRNAs from miRBase are collected. The miRBase database is a searchable database of published miRNA sequences and annotation.

miRNA sequences and structures are located in /150T/zhangqf/GenomeAnnotation/miRNA

>hsa-mir-106a hsa-miR-106a-5p:13-35 hsa-miR-106a-3p:50-71
ccuuggccauguAAAAGUGCUUACAGUGCAGGUAGcuuuuugagaucuaCUGCAAUGUAAGCACUUCUUACauuaccaugg
((.(((..(((((((((((((((((.(((((.(((.((.....)).)))))))).))))))))))).))))))..))).))

snoRNA

snoRNAs from snoatlas are collected. Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs that guide the post-transcriptional processing of other non-coding RNAs (mostly ribosomal RNAs), but have also been implicated in processes ranging from microRNA-dependent gene silencing to alternative splicing

snoRNA sequences are located in /150T/zhangqf/GenomeAnnotation/SnoRNA

>CD_ID0370-1_H.sapiens_(chrX)_68858373,68858439_+_hg19_ATTGTGA_38_ATGA_20_TTGATAA_5_CTGA_59
GGGCTTGATAACTGTGCAAATGATTTTCTCAAATAGCATTGTGATGATGCCAAGAGCTCTGAATGCT
>HACA_67-1_P.troglodytes_(adopted_1)_135095584,135095720_-_hsa_HACA_67-5_97.81-100.74-189_AGAGTA_61_ACA_132
GCATGGTAATGGATTTATGGTGGGTCCTTCTCTCTGGGCCTCTCATAGTGTACCCATGCCAGAGTAAATGGCAGCCTCGAACCATTGCCCAGTCCCCTTACCTGTGGGCTGTGAGCACTGAAGGGGGTTGCACAGTG