Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

IlHesComm

ABSTRACT: Hesperia comma (common branded skipper), genomic and transcriptomic data

PROVIDER: PRJEB43783 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR6054630_1.fastq.gz	Fastqsanger.gz
	ERR6054630_2.fastq.gz	Fastqsanger.gz
	ERR6054626_1.fastq.gz	Fastqsanger.gz
	ERR6054626_2.fastq.gz	Fastqsanger.gz
	ERR6054627_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 11

Similar Datasets

ilHesComm

Project description:Hesperia comma (common branded skipper)

| PRJEB43800 | ENA

ilHesComm1

Project description:Hesperia comma (common branded skipper) genome assembly, ilHesComm1

| PRJEB43996 | ENA

ilHesComm1 alternate haplotype

Project description:Hesperia comma (common branded skipper) genome assembly, ilHesComm1, alternate haplotype

| PRJEB43997 | ENA

Hesperia comma

Project description:Hesperia comma overview

| PRJNA724778 | ENA

ilLeuComm

Project description:Leucania comma, genomic and transcriptomic data

| PRJEB62566 | ENA

Skipper analysis of RNA-protein interactions highlights depletion of genetic variation in translation factor binding sites

Project description:Technology for crosslinking and immunoprecipitation followed by sequencing (CLIP-seq) has identified the transcriptomic targets of hundreds of RNA-binding proteins in cells. To improve the power of existing and future CLIP-seq datasets, we introduce Skipper, an end-to-end workflow that converts unprocessed reads into annotated binding sites using an improved statistical framework. Compared to existing methods, Skipper on average calls 3.1-4.2 times more transcriptomic binding sites and sometimes >10 times more sites, providing deeper insight into post-transcriptional gene regulation. Skipper also calls binding to annotated repetitive elements and identifies bound elements for 99% of enhanced CLIP experiments. We perform nine translation factor enhanced CLIPs and apply Skipper to learn determinants of translation factor occupancy including transcript region, sequence, and subcellular localization. Furthermore, we observe depletion of genetic variation in occupied sites and nominate transcripts subject to selective constraint because of translation factor occupancy. Skipper offers fast, easy, customizable analysis of CLIP-seq data.

2022-10-08 | GSE213867 | GEO

ilPolCalb

Project description:Nymphalis c-album (comma), genomic and transcriptomic data

| PRJEB55961 | ENA

ilPyrSerr

Project description:Pyrgus serratulae (olive skipper), genomic and transcriptomic data

| PRJEB82542 | ENA

ilThyLine

Project description:Thymelicus lineola (Essex skipper), genomic and transcriptomic data

| PRJEB59397 | ENA

ilPyrMalv

Project description:Pyrgus malvae (grizzled skipper), genomic and transcriptomic data