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        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411
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        Tool Citations

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        To help with this, you can download publication details of the tools mentioned in this report:

        About MultiQC

        This report was generated using MultiQC, version 1.29

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        REPORTE DE MUESTRA

        Los datos para este muestra provienen del artículo A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae de Nookaew et al., en el cual se estudia la cepa de S. cerevisiae CEN.PK 113-7D (levadura) bajo dos condiciones metabólicas distintas: exceso de glucosa (batch) y limitación de glucosa (chemostat).
        Nombre
        Thalassomics
        Contacto
        info@thalassomics.com
        Sitio Web
        https://thalassomics.com
        Tipo de proyecto
        RNA-seq
        Platafora
        HiSeq 2500 High Output V4
        Setup
        2x125

        Resumen general

        Showing 12/12 rows and 6/16 columns.
        Sample Name% Duplication% > Q30Mb Q30 basesReads After FilteringGC content% PF% AdapterError rateNon-primaryReads mapped% Mapped% Proper pairs% MapQ 0 readsTotal seqsMean insert% Aligned
        batch1
        0.16%
        0.0M
        0.1M
        99.9%
        99.2%
        0.0%
        0.1M
        167.6bp
        99.9%
        batch1_raw
        0.0%
        92.8%
        7.6Mb
        0.1M
        43.4%
        99.4%
        1.5%
        batch2
        0.15%
        0.0M
        0.1M
        99.9%
        99.4%
        0.0%
        0.1M
        172.8bp
        99.9%
        batch2_raw
        0.0%
        92.9%
        10.6Mb
        0.1M
        43.4%
        100.0%
        0.6%
        batch3
        0.16%
        0.0M
        0.1M
        99.9%
        99.3%
        0.0%
        0.1M
        168.8bp
        99.8%
        batch3_raw
        0.0%
        92.8%
        8.1Mb
        0.1M
        43.6%
        99.5%
        1.4%
        chem1
        0.26%
        0.0M
        0.1M
        99.9%
        98.9%
        0.0%
        0.1M
        166.1bp
        99.9%
        chem1_raw
        0.0%
        92.9%
        6.7Mb
        0.1M
        43.4%
        100.0%
        0.7%
        chem2
        0.25%
        0.0M
        0.1M
        99.9%
        99.0%
        0.0%
        0.1M
        172.7bp
        99.9%
        chem2_raw
        0.0%
        93.1%
        8.4Mb
        0.1M
        43.3%
        100.0%
        0.5%
        chem3
        0.25%
        0.0M
        0.1M
        99.9%
        99.1%
        0.0%
        0.1M
        172.3bp
        99.9%
        chem3_raw
        0.0%
        93.1%
        10.1Mb
        0.1M
        43.4%
        100.0%
        0.6%

        fastp

        Version: 0.23.4

        Análisis de calidad de lecturas con Fastp.URL: https://github.com/OpenGene/fastpDOI: 10.1093/bioinformatics/bty560

        Este módulo analiza la calidad de las lecturas utilizando Fastp, proporcionando estadísticas detalladas sobre la calidad de las secuencias.

        Filtered Reads

        Filtering statistics of sampled reads.

        Created with MultiQC

        Insert Sizes

        Insert size estimation of sampled reads.

        Created with MultiQC

        Sequence Quality

        Average sequencing quality over each base of all reads.

        Created with MultiQC

        GC Content

        Average GC content over each base of all reads.

        Created with MultiQC

        N content

        Average N content over each base of all reads.

        Created with MultiQC


        Samtools

        Version: 1.20 HTSlib: 1.21

        Análisis de archivos BAM con Samtools.URL: http://www.htslib.orgDOI: 10.1093/bioinformatics/btp352

        Este módulo utiliza Samtools para analizar archivos BAM, proporcionando estadísticas sobre la alineación y cobertura de las lecturas.

        Percent mapped

        Alignment metrics from samtools stats; mapped vs. unmapped reads vs. reads mapped with MQ0.

        For a set of samples that have come from the same multiplexed library, similar numbers of reads for each sample are expected. Large differences in numbers might indicate issues during the library preparation process. Whilst large differences in read numbers may be controlled for in downstream processings (e.g. read count normalisation), you may wish to consider whether the read depths achieved have fallen below recommended levels depending on the applications.

        Low alignment rates could indicate contamination of samples (e.g. adapter sequences), low sequencing quality or other artefacts. These can be further investigated in the sequence level QC (e.g. from FastQC).

        Reads mapped with MQ0 often indicate that the reads are ambiguously mapped to multiple locations in the reference sequence. This can be due to repetitive regions in the genome, the presence of alternative contigs in the reference, or due to reads that are too short to be uniquely mapped. These reads are often filtered out in downstream analyses.

        Created with MultiQC

        Alignment stats

        This module parses the output from samtools stats. All numbers in millions.

        Created with MultiQC

        Bowtie 2 / HiSAT2

        Alineamiento de lecturas con Bowtie2.URL: http://bowtie-bio.sourceforge.net/bowtie2; https://ccb.jhu.edu/software/hisat2DOI: 10.1038/nmeth.1923; 10.1038/nmeth.3317; 10.1038/s41587-019-0201-4

        Este módulo utiliza Bowtie2 para alinear las lecturas a un genoma de referencia, proporcionando estadísticas sobre el alineamiento.

        Paired-end alignments

        This plot shows the number of reads aligning to the reference in different ways.

        Please note that single mate alignment counts are halved to tally with pair counts properly.

        There are 6 possible types of alignment:

        • PE mapped uniquely: Pair has only one occurence in the reference genome.
        • PE mapped discordantly uniquely: Pair has only one occurence but not in proper pair.
        • PE one mate mapped uniquely: One read of a pair has one occurence.
        • PE multimapped: Pair has multiple occurence.
        • PE one mate multimapped: One read of a pair has multiple occurence.
        • PE neither mate aligned: Pair has no occurence.
        Created with MultiQC

        GffCompare

        Version: 0.12.9

        Tool to compare, merge and annotate one or more GFF files with a reference annotation in GFF format.URL: https://ccb.jhu.edu/software/stringtie/gffcompare.shtmlDOI: 10.12688/f1000research.23297.1

        Accuracy values

        Displayed are the accuracy values precisiond and sensitivity for different levels of genomic features. The metrics are calculated for the comparison of a query and reference GTF file.

        Accuracy metrics are calculated as described in Burset et al. (1996). Sensitivity is the true positive rate, Precision True Positives are query features that agree with features in the reference. The exact definition depends on the feature level:

        • Base: True positives are bases reported at the same coordinates.
        • Exon: Comparison units are exons that overlap in query and reference with same coordinates.
        • Intron chain: True positives are query transcripts for which all introns coordinates match those in the reference.
        • Transcript: More stringent then intron chain, all Exon coordinates need to match. Outer exon coordinates (start + end) can vary by 100 bases in default settings
        • Locus: Cluster of exons need to match.

        A more in depth description can be found here.

        Created with MultiQC

        Novel features

        Number of novel features, present in the query data but not found in the reference annotation.

        Created with MultiQC

        Missing features

        False negative features, which are found in the reference annotation but missed (not present) in the query data.

        Created with MultiQC

        Matriz de distancia

        Created with MultiQC

        Mapa de calor de abundancias

        Mapa de calor (heatmap) con los valores de abundancia de los genes/transcritos expresados diferencialmente (valores normalizados).

        Created with MultiQC

        Análisis PCA

        Este gráfico muestra los resultados del Análisis de Componentes Principales (PCA) con valores normalizados (VSD) con colores por grupo.

        Created with MultiQC

        Gráfico Volcano

        Gráfico de volcan los resultados del análisis de expresión diferencial.

        Created with MultiQC

        Software Versions

        Software Versions lists versions of software tools extracted from file contents.

        GroupSoftwareVersion
        GffCompareGffCompare0.12.9
        SamtoolsHTSlib1.21
        Samtools1.20
        fastpfastp0.23.4