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Autor:
Sari Jurvansuu, Päivi Rissanen
Publikováno v:
Kuntoutus
Artikkelissa tarkastellaan vertaistoimintaa päihde- ja mielenterveysjärjestöissä. Tutkimusaineisto koostuu kahdesta kyselystä. Ensimmäisessä kartoitettiin paikallisten päihde- ja mielenterveysyhdistysten (n=187) ja valtakunnallisten järjest
Publikováno v:
Bioinformatics. 38:985-989
Motivation With the increasing availability of 3D-data, the focus of comparative bioinformatic analysis is shifting from protein sequence alignments toward more content-rich 3D-alignments. This raises the need for new ways to improve the accuracy of
Publikováno v:
Bioinformatics
Summary Multiple sequence alignment is an initial step in many bioinformatics pipelines, including phylogeny estimation, protein structure prediction and taxonomic identification of reads produced in amplicon or metagenomic datasets, etc. Yet, alignm
Publikováno v:
Bioinformatics
Motivation In the last decade, de novo protein structure prediction accuracy for individual proteins has improved significantly by utilising deep learning (DL) methods for harvesting the co-evolution information from large multiple sequence alignment
Publikováno v:
Bioinformatics
Motivation Recent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcri
Publikováno v:
Bioinformatics. 38:115-124
Motivation Intrinsically disordered protein regions interact with proteins, nucleic acids and lipids. Regions that bind lipids are implicated in a wide spectrum of cellular functions and several human diseases. Motivated by the growing amount of expe
Autor:
Sarah-Jane Dawson, Benjamin Solomon, Dineika Chandrananda, Sebastian Hollizeck, Stephen Q. Wong
Publikováno v:
Bioinformatics. 37:3916-3919
Summary This work describes two novel workflows for variant calling that extend the widely used algorithms of Strelka2 and FreeBayes to call somatic mutations from multiple related tumour samples and one matched normal sample. We show that these work
Autor:
Tobias Tekath, Martin Dugas
Publikováno v:
Bioinformatics
Motivation Each year, the number of published bulk and single-cell RNA-seq datasets is growing exponentially. Studies analyzing such data are commonly looking at gene-level differences, while the collected RNA-seq data inherently represents reads of
Publikováno v:
Bioinformatics. 38:9-15
Motivation Aberrant DNA methylation is strongly associated with heterogeneity in tumors. This study investigated the prognostic value of CpG island methylator phenotype in hepatocellular carcinoma (HCC). Results A total of 319 HCC samples with 21 121