光の反射特性を用いた固体間の接触状態測定法

名古屋大学Nagoya University博士(工学)名古屋大学博士学位論文 学位の種類:博士(工学) (論文) 学位授与年月日:平成9年2月10日doctoral thesi

金融行動におけるミステイク : 金融リテラシーや金融意識との関係を中心に

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Upper Bound on the Decay τ→μγ from the Belle Detector

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A THEORY OF ℘-DIMENSIONAL DETERMINANTS.

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Presence of poly(A) signal sequences.

Frequency of poly(A) signal sequences were determined within a 50 nt window upstream of identified poly(A) site clusters. From left to right: predictions of ContextMap 2 (all samples and replicates), predictions of KLEAT (all samples and replicates) and “gold standard” poly(A) site clusters identified from RNA-PET data (all samples, replicate 1) with at least 3 and 10 reads, respectively. Poly(A) signal sequences were determined in the order of overall frequency determined by Beaudoing et al. [32], i.e. first the most frequent AAUAAA signal was searched, then the second-most frequent signal AUUAAA, and so on.</p

HSV-1 poly(A) site expression.

(A) Heatmap of read counts (log2 scale) for predicted poly(A) sites corresponding to annotated poly(A) signals in the HSV-1 genome. Poly(A) sites are denoted by the corresponding gene name. In case a poly(A) site corresponds to more than one gene, only one gene name is given. Time points are shown on the x-axis and numbers in round brackets indicate the replicate. (B) Heatmap of read coverages (log2 scale) within 1000 nt upstream of an annotated poly(A) signal. Again, only one gene name is shown if more than one gene use the same poly(A) signal. Genes are ordered according to the clustering obtained on the read counts for HSV-1 poly(A) sites.</p

Identified poly(A) sites for example genes.

<p>Number of mapped reads for each nucleotide as well as identified poly(A) site clusters are shown for two example genes, i.e. <i>SQSTM1</i> and <i>C5orf45</i>. Transcripts annotated for both genes in Ensembl are shown in the top row, with protein-coding exons and untranslated regions indicated by large and small boxes, respectively, introns by lines and strand by arrow heads. Transcripts corresponding to the major and minor poly(A) sites (according to the RNA-seq data) are indicated in blue and red (dark: <i>SQSTM1</i>, light: <i>C5orf45</i>), respectively. For each sample, numbers of mapped reads are shown separately for the two strands (green) and ranges of read numbers are indicated in brackets. Poly(A) site clusters are indicated by red boxes and cluster names indicate the strand: fwd = positive strand, rev = negative strand.</p

Additional file 4 of Watchdog – a workflow management system for the distributed analysis of large-scale experimental data

Computational overhead of Watchdog. Contains an analysis of the computational overhead of Watchdog and Snakemake for executing a workflow with a variable number of samples. (PDF 157 kb

Evaluation results on known transcripts.

<p>Evaluation results on known transcripts.</p

Runtime of ContextMap 2 and KLEAT.

<p>Runtime of ContextMap 2 and KLEAT.</p