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Tag Archives: GEO

GEOparse – a Python library to query Gene Expression Omnibus database

October 16, 2015 Leave a comment 6,828 Views

rna-seq

by Rafal Gumienny The python API for computational biology is constantly growing and slowly catches up with R. One of the common tasks that bioinformaticians often encounter is to compare their results to some publicly available data. If one wanted ...

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Recent RNA-SEQ Pubs

Prepubertal exposure to a high dose of cadmium induces hypothalamic injury through transcriptome profiling alteration and neuronal degeneration in female rats.
Computationally reconstructing cotranscriptional RNA folding from experimental data reveals rearrangement of non-native folding intermediates.
Aethionema arabicum genome annotation using PacBio full-length transcripts provides a valuable resource for seed dormancy and Brassicaceae evolution research.
Genome-Wide Discovery of Natural Variation in Pre-mRNA Splicing and Prioritizing Causal Alternative Splicing to Salt Stress Response in Rice.
NOTCH3, a crucial target of miR-491-5p/miR-875-5p, promotes gastric carcinogenesis by upregulating PHLDB2 expression and activating Akt pathway.
HAND1 and BARX1 act as transcriptional and anatomic determinants of malignancy in gastrointestinal stromal tumor.

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What is RNA-Seq?

long RNAs are first converted into a library of cDNA fragments through either RNA fragmentation or DNA fragmentation. Sequencing adaptors (blue) are subsequently added to each cDNA fragment and a short sequence is obtained from each cDNA using high-throughput sequencing technology. The resulting sequence reads are aligned with the reference genome or transcriptome, and classified as three types: exonic reads, junction reads and poly(A) end-reads. These three types are used to generate a base-resolution expression profile for each gene. Nat Rev Genet 10(1):57-63 (2009)


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