Uloborus diversus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA846873 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR20374779_1.fastq.gz | Fastqsanger.gz | |||
| SRR20374779_2.fastq.gz | Fastqsanger.gz | |||
| SRR20374780_1.fastq.gz | Fastqsanger.gz | |||
| SRR20374780_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 11 |
Similar Datasets
Project description:Uloborus diversus Genome sequencing and assembly
| PRJNA747999 | ENA
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
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Project description:The northern white rhinoceros (Ceratotherium simum cottoni) genome and annotation were previously published, but the annotation contained few genes, with many annotation misalignments, and nomenclature not matching HGNC/VGNC naming conventions, making transcriptional studies very difficult. We used in vivo collected granulosa cells for RNA sequencing and de novo transcript assembly through StringTie to identify all nucleotide gene sequences in our samples. Through extensive manual curation we were able to generate a greatly improved genome annotation increasing gene numbers by 81%. This will greatly enable researchers in this field to utilize the genome and annotation to complete transcriptional studies with this species.
2026-01-14 | GSE300824 | GEO
Project description:We identified hankyphage prophages within B. thetaiotaomicron isolates gathered from French hospitals. We extracted genomic DNA from an overnight culture from a single colony of each strain and sequenced them using Nanopore sequencing using the Plasmidsaurus platform. This long-read approach helped the assembly of the phages and determination of the hankyphage ends. We also improved the annotation of the reference hankyphage (hankyphage p00 from P. dorei HM719) using a structural prediction approach and annotated our B. thetaiotaomicron hankyphages using this new annotation. In this project we upload the genomic raw reads of nanopore sequencing of our hankyphage-bearing B. thetaiotaomicron collection (jmh strains) and the processed assembled hankyphages.
2025-01-24 | E-MTAB-14724 | biostudies-arrayexpress
Project description:Vongsangnak2008 - Genome-scale metabolic
network of Aspergillus oryzae (iWV1314)
This model is described in the article:
Improved annotation through
genome-scale metabolic modeling of Aspergillus oryzae.
Vongsangnak W, Olsen P, Hansen K,
Krogsgaard S, Nielsen J.
BMC Genomics 2008; 9: 245
Abstract:
BACKGROUND: Since ancient times the filamentous fungus
Aspergillus oryzae has been used in the fermentation industry
for the production of fermented sauces and the production of
industrial enzymes. Recently, the genome sequence of A. oryzae
with 12,074 annotated genes was released but the number of
hypothetical proteins accounted for more than 50% of the
annotated genes. Considering the industrial importance of this
fungus, it is therefore valuable to improve the annotation and
further integrate genomic information with biochemical and
physiological information available for this microorganism and
other related fungi. Here we proposed the gene prediction by
construction of an A. oryzae Expressed Sequence Tag (EST)
library, sequencing and assembly. We enhanced the function
assignment by our developed annotation strategy. The resulting
better annotation was used to reconstruct the metabolic network
leading to a genome scale metabolic model of A. oryzae.
RESULTS: Our assembled EST sequences we identified 1,046 newly
predicted genes in the A. oryzae genome. Furthermore, it was
possible to assign putative protein functions to 398 of the
newly predicted genes. Noteworthy, our annotation strategy
resulted in assignment of new putative functions to 1,469
hypothetical proteins already present in the A. oryzae genome
database. Using the substantially improved annotated genome we
reconstructed the metabolic network of A. oryzae. This network
contains 729 enzymes, 1,314 enzyme-encoding genes, 1,073
metabolites and 1,846 (1,053 unique) biochemical reactions. The
metabolic reactions are compartmentalized into the cytosol, the
mitochondria, the peroxisome and the extracellular space.
Transport steps between the compartments and the extracellular
space represent 281 reactions, of which 161 are unique. The
metabolic model was validated and shown to correctly describe
the phenotypic behavior of A. oryzae grown on different carbon
sources. CONCLUSION: A much enhanced annotation of the A.
oryzae genome was performed and a genome-scale metabolic model
of A. oryzae was reconstructed. The model accurately predicted
the growth and biomass yield on different carbon sources. The
model serves as an important resource for gaining further
insight into our understanding of A. oryzae physiology.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180056.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-07-30 | MODEL1507180056 | BioModels
Project description:We compiled the transcriptome by extracting mRNA, reverse transcription and Illumina sequencing, followed by assembly and annotation by comparison with public databases (including; Nr, SwissProt and COG). Quantitative data on the transcription abundance of each putative protein sequence is provided as assesed by the SOAPdenovo_trans assembly tool.
2013-10-28 | E-MTAB-1859 | biostudies-arrayexpress
Project description:This dataset includes RNAseq data of 7 tissues/developmental stages of Lathyrus sativus genotype LSWT11 and 2 tissues with drought- and well-watered treatments of Lathyrus sativus genotypes LS007 and Mahateora. These data were used in the functional annotation pipeline of the Rbp1.0 genome assembly of LS007. The multi-tissue transcriptome was also used to support gene candidate identification by mRNA abundance. Also included is Hi-C sequencing data used to scaffold the assembly into pseudochromosomes
2023-01-31 | GSE223956 | GEO
Project description:Understanding gene expression diversity across human populations is essential for accurate genome annotation and disease interpretation. However, existing annotations are primarily based on European-derived transcriptomic data, potentially limiting their applicability to other populations. This study aims to assess population-specific transcript diversity and its impact on gene annotation. To achieve this, we performed long-read RNA sequencing on lymphoblastoid cell lines from 43 individuals across eight globally diverse populations. Our workflow included RNA extraction, cDNA synthesis, and sequencing using Oxford Nanopore long-read technology, followed by transcript assembly and comparison with existing gene annotations. We also integrated novel transcripts into reference annotations to evaluate their effect on allele-specific transcript usage detection. This work provides a critical step toward improving transcriptome annotation across diverse populations, ensuring a more comprehensive representation of human genetic variation.
2025-03-13 | E-MTAB-14935 | biostudies-arrayexpress
Project description:Intervention type:DRUG
Name of intervention:Huaier
Dose form / Japanese Medical Device Nomenclature:GRANULES
Route of administration / Site of application:ORAL
Dose per administration:20?
g
Dosing frequency / Frequency of use:OTHER, SPECIFY
20g? per day
Planned duration of intervention:3 months to extending if necessary
Intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary
detailes of teratment arms:hepatocellular carcinoma, breast cancer, colorectal cancer and related gastrointestinal cancers, urologic cancers including prostate cancer, pancreas cancer, and lung cancer, etc.
Comparative intervention name:None
Dose form / Japanese Medical Device Nomenclature:
Route of administration / Site of application:
Dose per administration:
Dosing frequency / Frequency of use:
Planned duration of intervention:
Intended dose regimen:
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.
Study Design: Comparative test, None, No, open(masking not used), EXPLORATORY
| 98681 | ecrin-mdr-crc