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BioBam at LongTREC meeting in Sweden

Our Teammate and PhD student Fabian Jetzinger, part of the LongTREC MSCA doctoral network, recently spent two months in Stockholm to collaborate with the developers of the isONpipeline tools. This pipeline, part of the OmicsBox Transcriptomics module, facilitates reference-free transcriptome reconstruction from Oxford Nanopore or PacBio long-read RNA sequencing data. Learning from their expertise and bringing in his own set

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Combining Transcriptomes with TAMA Merge

In analyzing long-read RNA-sequencing data, defining a custom transcriptome by identifying novel isoforms is a complex yet essential task that can have far-reaching consequences for any downstream analyses. As long reads allow researchers to examine isoform diversity in significantly greater detail than short reads, long-read sequencing often reveals a large variety of isoforms not yet present in reference annotations, even

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End-to-End Analysis of Long Reads in OmicsBox

Long-read sequencing has gained widespread popularity in many areas of biological research due to the many advantages these technologies offer over short reads, as well as the decreasing error rates and costs. Nature Methods named it the method of the year 2022. The field of transcriptomics shows particular interest in long reads, as long-read RNA-sequencing can shed light on the

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IsoQuant: Long-Read Isoform Identification and Quantification

  Defining transcript models to characterize isoforms from aligned reads is a crucial step in analyzing transcriptomics data, particularly when dealing with long reads originating from technologies such as Pacific Biosciences (PacBio) or Oxford Nanopore Technologies (ONT). In the past few years, so many algorithms to achieve this task have been published, that it is challenging to keep an overview

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