Research Areas

Our scientific team offers you to perform a nonpublic research special for the
specific needs of your company. The results will permit your workflow improvement!

Digital Genomics research vectors are directed by scientific interests and academic background of our team experts.

Our extensive research capabilities, along with an interdisciplinary approach, allow us to conduct a wide range of studies.An ever-growing quantity of peer-reviewed publications demonstrate how our exploration activities help drive insights, technology findings and enhance disorders discoveries.

Here you can learn more about our scientific goals and achievements.

Production of a bioinformatic pipeline

for clinical data processing from WES and WGS sequencing

Used to analyze over

5000 samples
  1. PCR-free whole genome sequencing data was analyzed using an automated algorithm that includes the removal of adapters and low quality sequences (FASTP package)
  2. Read alignment to the hg38 reference human genome (BWA-MEM2 package)
  3. Sorting reads by coordinate (SAMTOOLS package)
  4. Optical and PCR duplicates filtering (SAMBLASTER package)
  5. Single nucleotide genetic variants and short insertions and deletions detection and filtering according to quality (STRELKA2 package)
  6. Sequencing quality control (NGS-BITS package)
  7. Structural genetic variants detection by two orthogonal methods (CLINCNV and MANTA packages)
  8. Short tandem repeats number evaluation at clinically significant loci (EXPANSION HUNTER package) and variants annotation regarding clinical information databases (ENSEMBL-VEP package)

Research of the new genotype-phenotype interactions in clinical genomics

Cyberleninka

Multiple rare and common variants in APOB gene locus associated with oxidatively modified low-density lipoprotein levels

Cyberleninka

Molecular markers of paragangliomas / pheochromocytomas

Cyberleninka

Дилатационня картиомиопатия и синдром некомпактного миокарда левого жедлудочка у пациента с синдромом Альпорта

Development of a probabilistic method for estimation of absolute copy number of genomic segments

based on NGS data and a study of the CNV role in adaptability of organisms

Conclusion

It was designed a new probabilistic framework of the read depth based approach for accurate absolute CN
This framework enabled it to generate fine-scale genomic maps of segmental duplications and study patterns of CNV loci in several species (Canis lupus , Canis lupus familiaris, Macaca mulatta, Pan troglodytes, Equus ferus caballus).
CNV of some genes with potential functional relevance lie at the very core of related phenotypic differences between Canis lupus and Canis lupus familiaris, as well as phenotypic diversity between dog breeds.
Cyberleninka

The landscape of somatic mutation in cerebral cortes of autistic and neurotypical individuals revealed by ultra-deep whole-genome sequencing

Cyberleninka

Landmarks of human embryonic development inscribed in somatic mutations

Cyberleninka

Copy number variation underlies complex phenotypes in domestic dog breeds and other canids

Role of genetic interactions in protein sequences evolution

Conclusion

Constant selection constrain asymptotic value between, but cannot reduce substantially the rate at which this level is approached.
Sequence space of homologous proteins with the very distant common ancestral state continue to diverge which is contrary to constant selection model
The rate of convergent evolution declines with time, indicating changings in the strength of selection
Not less the 85% of amino acid states of some proteins may be involved in epistatic interactions
Cyberleninka

The landscape of somatic mutation in cerebral cortes of autistic and neurotypical individuals revealed by ultra-deep whole-genome sequencing

Cyberleninka

Landmarks of human embryonic development inscribed in somatic mutations

Cyberleninka

Copy number variation underlies complex phenotypes in domestic dog breeds and other canids

Gene expression research based on NGS data

Natural Variation in Abiotic Stress Responsive Gene Expression and Local Adaptation to Climate in Arabidopsis thaliana

Jesse R. Lasky &, David L. Des Marais, David B. Lowry, Inna Povolotskaya, John K. McKay, James H. Richards, Timothy H. Keitt, Thomas E. Juenger &% Author Notes

Molecular Biology and Evolution, Volume 31, Issue 9, September 2014, Pages 2283-2296, Published: 21 May 2014

Natural Variation in Abiotic Stress Responsive Gene Expression and Local Adaptation to Climate in Arabidopsis thaliana

Jesse R. Lasky &, David L. Des Marais, David B. Lowry, Inna Povolotskaya, John K. McKay, James H. Richards, Timothy H. Keitt, Thomas E. Juenger &% Author Notes

Molecular Biology and Evolution, Volume 31, Issue 9, September 2014, Pages 2283-2296, Published: 21 May 2014

Natural Variation in Abiotic Stress Responsive Gene Expression and Local Adaptation to Climate in Arabidopsis thaliana

Jesse R. Lasky &, David L. Des Marais, David B. Lowry, Inna Povolotskaya, John K. McKay, James H. Richards, Timothy H. Keitt, Thomas E. Juenger &% Author Notes

Molecular Biology and Evolution, Volume 31, Issue 9, September 2014, Pages 2283-2296, Published: 21 May 2014