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. 2016 Oct 5;45(Database issue):D104–D114. doi: 10.1093/nar/gkw888

Table 1. Overview of data curated in POSTAR.

Category Human Mouse Resource/calculation methoda
RBP binding sites RBP binding sites from experiments 1 752 329 1 003 984 All CLIP-seq peaks called by Piranha (human: 65 RBPs; mouse: 30 RBPs)b
39 201 78 922 HITS-CLIP peaks called by CIMS (human: 17 RBPs; mouse: 23 RBPs)b
7 731 846 96 346 PAR-CLIP peaks called by PARalyzer (human: 44 RBPs; mouse: 4 RBPs)b
4 598 307 1 013 008 iCLIP peaks called by CITS (human: 9 RBPs; mouse: 8 RBPs)b
6 703 559 NA eCLIP-seq peaks called by ENCODE (human: 56 RBPs)c
439 817 NA PIP-seq peaks called by PMID24393486 (human: global RBPs)
RBP binding site from predictions 25 623 567 18 540 386 Peaks predicted by FIMO (human: 88 RBPs; mouse: 88 RBPs)d
19 447 967 24 621 203 Peaks predicted by TESS (human: 88 RBPs; mouse: 88 RBPs)d
16 586 127 11 905 150 Peaks predicted by DeepBind (human: 82 RBPs; mouse: 82 RBPs)e
Data module I: Gene/RBP annotations RBPs 132 104 Ensembl, PMID25365966
Sequence motifs 726 180 MEME, HOMER
Structural preferences 720 179 RNApromo, RNAcontext
Gene Ontologies 15 677 13 849 GOBP, GOMF, GOCCf
Biological pathways 186 105 KEGG
Gene expression 34 cells/tissue types 18 cell/tissue types TopHat, Cufflinksg
Alternative splicing (skip exon) 34 cells/tissue types 18 cell/tissue types TopHat, MISOg
Data module II: Molecular annotations miRNA binding sites from experiments 3 906 955 1 588 861 AGO CLIP-seq peaks called by Piranha, the targeting miRNAs identified by miRandah
miRNA binding sites from predictions 70 516 087 38 336 372 RNAhybrid, TargetScan, miRanda
RNA modification sites 177 049 91 930 RMBase, PMID26863196
RNA editing sites 2 583 302 8846 RADAR, DARNED
Splicing elements 1 995 574 1 152 186 Anno. in GENCODE human v19, mouse vM7
Conserved structural regions 725 691 EvoFam
Data module III: Genomic variants SNPs 149 398 310 77 785 586 dbSNP v146
Tissue-specific eQTL 19 530 607 NA GTEx
GWAS SNPs 278 473 NA GWASdb2, RNAfoldi
Clinically important SNPs 131 919 NA ClinVar, RNAfoldi
Cancer TCGA whole-exome SNVs 828 119 NA PMID24390350, RNAfoldi
Cancer TCGA whole-genome SNVs 4 745 891 NA PMID23945592, RNAfoldi
Cancer COSMIC SNVs 2 371 219 NA COSMIC v76, RNAfoldi
Data module IV: Gene-Function associations Tissue-specific genes 21 549 NA TiGER, SpeCond
Gene-Disease associations 419 906 NA OMIM, DisGeNET
Gene-Cancer associations 4485 NA Manually curated from 60 publicationsj
Gene-Drug associations 35 201 NA DGIdb 2.0
Data module V: RNA secondary structures Predicted local structures 82 242 543 57 095 233 RNAfold with restraints from experimental structural probing data (human: DMS-seq, PARS; mouse: icSHAPE, Frag-seq, CIRS-seq)k

aResults and data firstly generated by POSTAR are in bold font.

bWe provide all CLIP-seq peaks called by Piranha with P < 0.01. For CIMS, CITS and PARalyzer, we provide peaks with default significance cutoffs.

cSee Supplementary File 2 for the full list of eCLIP-seq data. The peaks were called by ENCODE.

dSee Supplementary File 5 for the RBPs and motifs used for prediction.

eSee Supplementary File 6 for the RBPs in DeepBind model.

fBP, Biological Process; MF, Molecular Function; CC, Cellular Component.

gSee Supplementary File 4 for the full list of 230 RNA-seq data sets in human and mouse.

hWe used all AGO CLIP-seq peaks called by Piranha (P < 0.01). The targeting miRNAs of the peaks were identified using miRanda with default parameters.

iWe used RNAfold to calculate the minimal free energy changes of local RNA secondary structures that are induced by the mutations.

jSee Supplementary File 3 for the full list of manually curated cancer genes.

kSee Supplementary File 7 for the experimental structural probing datasets. We predicted one local structure centered on each RBP binding site (window size: 150nt).