key: cord-0909863-kumsi45h
authors: Allmer, Jens; Elloumi, Mourad; Comin, Matteo; Hofestädt, Ralf
title: Special Issue of the 1st International Applied Bioinformatics Conference (iABC'21)
date: 2021-12-16
journal: J Integr Bioinform
DOI: 10.1515/jib-2021-0042
sha: aa0fd387b3c13e90f4de79b7f158c34dbb7f4fde
doc_id: 909863
cord_uid: kumsi45h

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gene family paralogs (POTEE) are investigated in silico based on epigenetics in ovarian cancer [6] . Secondly, gene networks were reconstructed for glioblastoma [7] . In summary, this special issue encompasses novel algorithms, algorithm transfer from a different domain, and the application of bioinformatics tools on the analysis of several cancers.

We hope that the 2nd International Applied Bioinformatics Conference will be held in hybrid (in presence, but including live streams).

Special issue on COVID-19 data integration opportunities and vaccine development strategies

Fast alignment of reads to a variation graph with application to SNP detection

Modular network inference between miRNA-mRNA expression profiles using weighted co-expression network analysis

An evaluation study of biclusters visualization techniques of gene expression data

Disparity-filtered differential correlation network analysis: a case study on CRC metabolomics

In silico approach to elucidate POTEE paralog in ovarian cancer

Glioblastoma gene network reconstruction and ontology analysis by online bioinformatics tools

Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. Research funding: None declared.

The authors declare no conflicts of interest regarding this article.