Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

BAC-derived HSV-1 strain 17 genome sequencing using both Illumina and PacBio technologies

ABSTRACT: BAC-derived HSV-1 strain 17 genome sequencing using both Illumina and PacBio technologies

PROVIDER: PRJEB40048 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3278852_subreads.fastq.gz	Fastqsanger.gz
	ERR3278848_1.fastq.gz	Fastqsanger.gz
	ERR3278848_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

BAC-derived HSV-2 strain MS genome sequencing using both Illumina and PacBio technologies

Project description:BAC-derived HSV-2 strain MS genome sequencing using both Illumina and PacBio technologies

| PRJEB40046 | ENA

HSV-1 strain 17 genome sequencing using both Illumina and PacBio technologies

Project description:HSV-1 strain 17 genome sequencing using both Illumina and PacBio technologies

| PRJEB40047 | ENA

HSV-2 strain MS genome sequencing using both Illumina and PacBio technologies

Project description:HSV-2 strain MS genome sequencing using both Illumina and PacBio technologies

| PRJEB40042 | ENA

RNA-seq (Illumina and PacBio) of hESC

Project description:We used PacBio data to identify more reliable transcripts from hESC, based on which we can estimate gene/transcript abundance better from Illumina data. PacBio long reads and Illumina short reads were generated from the same hESC cell line H1. PacBio reads were error-corrected by Illumina reads to identify transcripts. rSeq is used to estimate gene/transcript abundance of the identified transcriptome.

2013-10-30 | E-GEOD-51861 | biostudies-arrayexpress

HSV-2 strain 333 genome sequencing using PacBio

Project description:HSV-2 strain 333 genome sequencing using PacBio

| PRJEB40057 | ENA

RNA-seq (Illumina and PacBio) of hESC

Project description:We used PacBio data to identify more reliable transcripts from hESC, based on which we can estimate gene/transcript abundance better from Illumina data.

2013-10-30 | GSE51861 | GEO

Sequencing of wild type and BAC-derived HSV-1 strain 17 and HSV-2 MS viruses.

Project description:Sequencing of wild type and BAC-derived HSV-1 strain 17 and HSV-2 MS viruses.

| PRJEB32150 | ENA

Reference Short-Read Transcriptomes of Human Peripheral Blood Lymphocytes (Illumina RNA-Seq, Matched to PacBio Iso-Seq Data)

Project description:Long-read sequencing technologies such as Iso-Seq (PacBio Inc.) generate highly accurate sequences of full-length mRNA transcript isoforms. Long-read transcriptomics may be especially useful in the context of lymphocyte functional plasticity as it relates to human health and disease. However, no long-read isoform-aware reference transcriptomes of human circulating lymphocytes seem to be publicly available despite being valuable as benchmarks in a variety of transcriptomic studies. To begin to fill this gap, we purified four lymphocyte subsets (CD4 T, CD8 T, NK, and Pan B cells) from the peripheral blood of a healthy male donor and obtained high-quality RNA (RIN>8) for PacBio Iso-Seq analysis and parallel RNA-Seq analysis.

2022-09-16 | GSE202328 | GEO

Reference Long-Read Transcriptomes of Human Peripheral Blood Lymphocytes (PacBio Iso-Seq, Matched to Illumina RNA-Seq Data)

2022-09-16 | GSE202327 | GEO

Analysis and comprehensive comparison of Pacbio and Nanopore-based RNA-sequencing in Arabidopsis transcriptome

Project description:Rapidly increased studies by third-generation sequencing [Pacific Biosciences (Pacbio) and Oxford Nanopore Technologies (ONT)] have been used in all kinds of research areas. Among them, the plant full-length single-molecule transcriptome studies were most used by Pacbio while ONT was rarely used. Therefore, in this study, we developed ONT RNA-sequencing methods in plants. We performed a detailed evaluation of reads from Pacbio and Nanopore PCR cDNA (ONT Pc) sequencing in plants (Arabidopsis), including the characteristics of raw data and identification of transcripts. We aimed to provide a valuable reference for applications of ONT in plant transcriptome analysis.

2019-12-15 | GSE141641 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data