Our new article has been accepted in Bioinformatics: Martin R, Nguyen MK, Lowack N, Heider D: ODNA: Identification of Organellar DNA by Machine Learning. Bioinformatics 2023, in press. (Link) Abstract MotivationIdentifying organellar DNA, such as mitochondrial or plastid sequences, inside a whole genome assembly, remains challenging and requires biological background knowledge. To address this, we…
For the summer semester 2023, Dominik is appointed as a visiting professor at the T.H. Chan School of Public Health, Harvard University.
Our new article has been accepted in Computational and Structural Biotechnology Journal: Ezekannagha C, Welzel M, Heider D, Hattab G: DNAsmart: Multiple Attribute Ranking Tool for DNA Data Storage Systems Author links open overlay panel. Computational and Structural Biotechnology Journal 2023, 1448-1460 (Link) Abstract In an ever-growing need for data storage capacity, the Deoxyribonucleic Acid…
Our new article has been accepted in Nature Communications: Welzel M, Schwarz PM, Löchel HF, Kabdullayeva T, Clemens S, Becker A, Freisleben B, Heider D. DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage. Nature Communications 2023, 14:628. (Link) Abstract The extensive information capacity of DNA, coupled with decreasing costs…
Our new article has been accepted in Lancet Digital Health: Näher AF, Vorisek CN, Klopfenstein SAI, Lehne M, Thun S, Alsalamah S, Pujari S, Heider D, Ahrens W, Pigeot I, Marckmann G, Jenny MA, Renard BY, von Kleist M, Wieler LH, Balzer F, Grabenhenrich L. Secondary data for global health digitalisation. Lancet Digital Health 2023,…
Our new article has been accepted in Cancer Research: Namba S, Saito Y, Kogure Y, Masuda T, Bondy ML, Gharahkhani P, Gockel I, Heider D, Hillmer A, Jankowski J, MacGregor S, Maj C, Melin B, Ostrom QT, Palles C, Schumacher J, Tomlinson I, Whiteman DC, Okada Y, Kataoka K: Common Germline Risk Variants Impact Somatic…
Our new article has been accepted in NARGAB: Hattab G, Anžel A, Spänig S, Neumann N, Heider D: A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification. NAR Genomics and Bioinformatics 2023, 5(1): lqac103. (Link) Summary Exploring new ways to represent and discover organic molecules is critical to the development…
Our new article has been accepted in iScience: Hauschild AC, Martin R, Holst SC, Wienbeck J, Heider D: Guideline for Software Life Cycle in Health Informatics. iScience 2022, in press. (
Our new article has been accepted in Antibiotics: Ren Y, Chakraborty T, Doijad S, Falgenhauer L, Falgenhauer J, Goesmann A, Schwengers O, Heider D: Deep Transfer Learning Enables Robust Prediction of Antimicrobial Resistance for Novel Antibiotics. Antibiotics 2022, 11:1611. (Link) Abstract Antimicrobial resistance (AMR) has become one of the serious global health problems, threatening the…
Our new article has been accepted in Cancers: Leyh C, Heucke N, Schotten C, Büchter M, Bechmann LP, Wichert M, Dechêne A, Herrmann K, Heider D, Sydor S, Lemmer P, Ludwig JM, Pospiech J, Theysohn J, Damm R, March C, Powerski M, Pech M, Özcürümez M, Weigt J, Keitel V, Lange CM, Schmidt H, Canbay…
