<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>25(1)</volume><submitter>Shmakov NА</submitter><pubmed_abstract>De novo transcriptome assembly is an important stage of RNA-seq data computational analysis. It allows the researchers to obtain the sequences of transcripts presented in the biological sample of interest. The availability of accurate and complete transcriptome sequence of the organism of interest is, in turn, an indispensable condition for further analysis of RNA-seq data. Through years of transcriptomic research, the bioinformatics community has developed a number of assembler programs for transcriptome reconstruction from short reads of RNA-seq libraries. Different assemblers makes it possible to conduct a de novo transcriptome reconstruction and a genome-guided reconstruction. The majority of the assemblers working with RNA-seq data are based on the De Bruijn graph method of sequence r</pubmed_abstract><journal>Vavilovskii zhurnal genetiki i selektsii</journal><pagination>30-38</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8627909</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Improving the quality of barley transcriptome de novo assembling by using a hybrid approach for lines with varying spike and stem coloration.</pubmed_title><pmcid>PMC8627909</pmcid><pubmed_authors>Shmakov NА</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improving the quality of barley transcriptome de novo assembling by using a hybrid approach for lines with varying spike and stem coloration.</name><description>De novo transcriptome assembly is an important stage of RNA-seq data computational analysis. It allows the researchers to obtain the sequences of transcripts presented in the biological sample of interest. The availability of accurate and complete transcriptome sequence of the organism of interest is, in turn, an indispensable condition for further analysis of RNA-seq data. Through years of transcriptomic research, the bioinformatics community has developed a number of assembler programs for transcriptome reconstruction from short reads of RNA-seq libraries. Different assemblers makes it possible to conduct a de novo transcriptome reconstruction and a genome-guided reconstruction. The majority of the assemblers working with RNA-seq data are based on the De Bruijn graph method of sequence r</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Feb</publication><modification>2025-04-05T13:59:19.284Z</modification><creation>2022-02-11T14:55:26.616Z</creation></dates><accession>S-EPMC8627909</accession><cross_references><pubmed>34901701</pubmed><doi>10.18699/VJ21.004</doi></cross_references></HashMap>