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Parametric analysis of RNA-seq expression data

Parametric analysis of RNA-seq expression data

Various methods had been introduced for normalization and comparison of RNA-seq count data. However, they lacked objectivity because they based on ad hoc assumptions that were never verified their appropriateness. Here, researchers from Akita Prefectural University introduced a method that assumes ...

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IsomiR Bank – a research resource for tracking IsomiRs

IsomiR Bank – a research resource for tracking IsomiRs

Next-Generation Sequencing (NGS) technology has revealed that microRNAs (miRNAs) are capable of exhibiting frequent differences from their corresponding mature reference sequences, generating multiple variants: the isoforms of miRNAs (isomiRs). These isomiRs mainly originate via the imprecise and alternative cleavage during ...

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Comparative transcriptomics across the prokaryotic tree of life

Comparative transcriptomics across the prokaryotic tree of life

Whole-transcriptome sequencing studies from recent years revealed an unexpected complexity in transcriptomes of bacteria and archaea, including abundant non-coding RNAs, cis-antisense transcription and regulatory untranslated regions (UTRs). Understanding the functional relevance of the plethora of non-coding RNAs in a given ...

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Flexible expressed region analysis for RNA-seq with derfinder

Flexible expressed region analysis for RNA-seq with derfinder

Differential expression analysis of RNA sequencing (RNA-seq) data typically relies on reconstructing transcripts or counting reads that overlap known gene structures. Researchers at Johns Hopkins University previously introduced an intermediate statistical approach called differentially expressed region (DER) finder that seeks ...

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