PhyloBench: A Benchmark for Evaluating Phylogenetic Programs.

Phylogenetic inference based on protein sequence alignment is a widely used procedure. Numerous phylogenetic algorithms have been developed, most of which have many parameters and options. Choosing a program, options, and parameters can be a nontrivial task.

Annotation of nuclear lncRNAs based on chromatin interactions.

The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRNAs have been shown to be important regulatory components acting locally. As RNA-chromatin interaction and Hi-C chromatin conformation data showed that chromatin interactions of nuclear lncRNAs are determined by the local chromatin 3D conformation, we used Hi-C data to identify potential target genes of lncRNAs.

RNA-Chrom: a manually curated analytical database of RNA-chromatin interactome.

Every year there is more and more evidence that non-coding RNAs play an important role in biological processes affecting various levels of organization of living systems: from the cellular (regulation of gene expression, remodeling and maintenance of chromatin structure, co-transcriptional suppression of transposons, splicing, post-transcriptional RNA modifications, etc.) to cell populations and even organismal ones (development, aging, cancer, cardiovascular and many other diseases). The development and creation of mutually complementary databases that will aggregate, unify and structure different types of data can help to reach the system level of studying non-coding RNAs.

How Often Does Filtering of Alignment Columns Improve the Phylogenetic Inference of Two-Domain Proteins?

e-mail: sas@belozersky.msu.ru Protein phylogeny is usually reconstructed basing on a multiple alignment of amino acid sequences.

[RNA-Chromatin Interactome: What? Where? When?].

It was noticed in the early 1960s that a large amount of RNAs is associated with chromatin. What kind of RNAs are they? Where are they located on chromatin? When and in what processes do these RNAs perform their physiologically normal or pathogenic functions? The review describes the modern approaches that help, to some extent, to answer these questions. Consideration is given to the experimental methods that make it possible to obtain the complete RNA-chromatin interactome of a cell or the genome-wide interaction maps of individual RNAs with chromatin, as well as the methods to process the experimental data.