Experimental Genomics High Impact Factor Journals

Experimental Genomics High Impact Factor Journals

The research focuses on the development of molecular methods allowing large-scale analysis of DNA, RNA, and proteins in both bulk samples and single cells. A method that has facilitated high throughput investigation of the functional constituents of a cell is massively DNA barcoding of emulsion droplets. In this method, the DNA barcodes are linked to DNA (or cDNA) molecules in droplets and sequenced using a massively parallel sequencing (MPS) platform. The sequenced DNA molecules are each traced back to a share droplet allowing mutation analysis and transcript profiling of individual cells. The group is also working on a new approach for droplet-based DNA-assisted proteomics. The main focus of the project is on a novel principle for simultaneous detection and quantification of proteins in complex samples, where a combination of immunorecognition (DNA-labeled antibodies) and massively parallel DNA sequencing is applied. The impact factor of the journal provides a quantitative assessment tool for grading, evaluating, sorting, and comparing journals of a similar kind. It reflects the average number of citations to recent articles published in science and social science journals in a particular year or period, and is frequently used as a proxy for the relative importance of a journal within its field. It is first devised by Eugene Garfield, the founder of the Institute for Scientific Information. The impact factor of a journal is evaluated by dividing the number of current year citations to the source items published in that journal during the previous two years.


Last Updated on: Apr 20, 2025

Global Scientific Words in Genetics & Molecular Biology