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TranscriptomicsNon-coding RNA tiling array in rice
The 1 Mb tiling array was used to represent the 10.0 Mb to 11.0 Mb region of japonica rice Chromosome 10. A tile path was designed with 36-mer probes at a step of 5 nt. All 388,994 probes were retained and synthesized into a single array. This array was hybridized to the cDNA target used for the ful...
ORGANISM(S): Oryza sativa 
2010-06-11 | E-GEOD-6922 | biostudies-arrayexpress
TranscriptomicsRNA at 92 M-BM-0C: the non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi.
The non-coding transcriptome of the hyperthermophilic archaeon Pyrococcus abyssi is investigated using the RNA-seq technology. A dedicated computational pipeline analyzes RNA-seq reads and prior genome annotation to identify small RNAs, untranslated regions of mRNAs, and cis-encoded antisense transc...
ORGANISM(S): Pyrococcus abyssi 
2014-05-31 | E-GEOD-58131 | biostudies-arrayexpress
ProteomicsA novel protein coding potential of long intergenic non-coding RNAs (lincRNAs) in the kinetoplastid protozoan parasite Leishmania major
Leishmania major is a kinetoplastid protozoan parasite which causes the debilitating infectious disease cutaneous leishmaniasis (CL). This disease results in scars and disfiguration of the infected individuals. The L. major genome was the first leishmanial genome to be sequenced in 2005 and this stu...
ORGANISM(S): Leishmania major 
2016-05-11 | PXD002465 | Pride
Cutaneous leishmaniasis Proteomics Gene annotations Non-coding rna Protozoan parasite 
ModelsDeshpande2019 - Random Forest model to predict long non-coding RNAs from coding RNAs in Zea Mays plant transcriptomic data
This is a Random Forest algorithm-based machine learning model to predict lncRNAs from coding mRNAs in plant transcriptomic data. The model assigns 1 for coding sequences and 2 for long non-coding sequences. The prediction is performed using a combination of Open Reading Frame (ORF) based, Sequence-...
2024-12-09 | BIOMD0000001067 | BioModels
Machine Learning Model FAIR-AIML 
ModelsDhawan2019 - Endogenous miRNA sponges mediate the generation of oscillatory dynamics for a non-coding RNA network
This is a delay differential equation model showing how non-coding RNA, acting as microRNA (miRNA) sponges in a conserved RNA-transcription factor feedback motif, can five rise to oscillatory behaviour.
2024-09-02 | BIOMD0000000841 | BioModels
ProteomicsComprehensive Identification of Soybean Long Non-coding RNAs Reveals a Subset of Small Peptide-Coding Transcripts
Long non-coding RNAs (lncRNAs) are defined as non-protein-coding transcripts that are at least 200 nucleotides long. They are known to play pivotal roles in regulating gene expression, especially during stress responses in plants. We used a large collection of in-house transcriptome data from variou...
ORGANISM(S): Glycine max 
2020-01-09 | PXD014553 | Pride
Long non-coding rna Proteomics Soybean Small peptide Transcriptomics 
TranscriptomicsSequencing of the non-ribosomal transcriptome allows the simultaneous identification of protein-coding and non-protein-coding RNAs
Deep Sequencing of protein-coding and non-protein-coding RNAs from mouse differentiated embryonic stem cells and 14.5dpc mouse fetal head Analysis of Ribominus RNA from mouse differentiated embryonic stem cells and 14.5dpc mouse fetal head There are no processed data files for GSM566806-GSM566811. ...
ORGANISM(S): Mus musculus 
2011-12-06 | E-GEOD-22959 | biostudies-arrayexpress
TranscriptomicsGlobal identification and characterization of intermediate-size non-coding RNAs in Oryza sativa
In this study, we employed a special size fractionation and cDNA library construction method followed by 454 deep sequencing to systematically profile rice intermediate-size ncRNAs. Our analysis resulted in the identification of 1349 ncRNAs in total, including 754 novel ncRNAs of an unknown function...
ORGANISM(S): Oryza sativa Japonica Group 
2012-07-27 | E-GEOD-39695 | biostudies-arrayexpress
TranscriptomicsIdentification of novel long non-coding RNAs in prostate cancers
Long non-coding RNAs show highly tissue and disease specific expression profiles. We analyzed prostate cancer and normal adjacent prostate samples to identify cancer-specific transcripts and found 334 candidates, of which 15 were validated by RT-PCR. 8 Prostate cancer samples from radical prostatect...
ORGANISM(S): Homo sapiens 
2015-03-02 | E-GEOD-59745 | biostudies-arrayexpress
TranscriptomicsHrp3 controls nucleosome positioning to suppress non-coding transcription in eu- and heterochromatin
This SuperSeries is composed of the following subset Series: GSE37697: Antisense Transcripts in Mutant Strains GSE40451: Hrp3 controls nucleosome positioning to suppress non-coding transcription in eu- and heterochromatin [MNase-Seq] Refer to individual Series
ORGANISM(S): Schizosaccharomyces pombe 
2012-10-02 | E-GEOD-40453 | biostudies-arrayexpress
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