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Schoennenbeck, P.

Publications and source records attributed to Schoennenbeck, P..

2 recordsLinked to original sources

Precise estimation of genome size from NGS data

Precise estimates of genome sizes are important parameters for both theoretical and practical biodiversity genomics. We present here a fast, easy-to-implement and precise method to estimate genome size from the number of bases sequenced and the mean sequence coverage. To estimate the latter, we take advantage of the fact that a precise estimation of the Poisson distribution parameter lambda is possible from truncated data, restricted to the part of the coverage distribution representing the true underlying distribution. With simulations we could show that reasonable genome size estimates can be gained even from low-coverage (10X), highly discontinuous genome drafts. Comparison of estimates from a wide range of taxa and sequencing strategies with flow-cytometry estimates of the same individuals showed a very good fit and suggested that both methods yield comparable, interchangeable results.

genomics

tbg - a new file format for genomic data

MotivationThe question of determining whether a Single-Nucleotide Polymorphism (SNP) or a variant in general leads to a change in the amino acid sequence of a protein coding gene is often a laborious and time-consuming challenge. Here, we introduce the tbg file format for storing genomic data and tbg-tools, a user-friendly toolbox for the faster analysis of SNPs. The file format stores information for each nucleotide in each gene, allowing to predict which change in the amino acid sequence will be caused by a variant in the nucleotide sequence. Our new tool therefore has the potential to make biological sense of the unprecedented amount of genome-wide genetic variation that researchers currently face. ResultsThe new tab-separated file for storing the nucleotide data can be easily analyzed and used for a wide variety of biological research. It is also possible to automate some of these analyses using the additional analysis tools from tbg-tools Availabilitytbg-tools is written in Python and allows the installation from the command line. It can be found on https://github.com/Croxa/tbg-tools. Contactpschoenn@students.uni-mainz.de

genomics