Prof. Dr. Alice McHardy

Prof. Dr. Alice McHardy
Forschungsgruppenleiterin

Alice Carolyn McHardy besitzt ein Diplom in Biochemie und einen Doktortitel (Dr. rer. nat.) in Bioinformatik, beides von der Universität Bielefeld in Deutschland. Von 2005 bis 2007 arbeitete sie zunächst als Postdoc und dann als festangestellte Mitarbeiterin in der Gruppe “Bioinformatics and Pattern Discovery” am IBM T.J. Watson Research Center in Yorktown Heights, USA.

Danach wurde sie Leiterin der unabhängigen Forschungsgruppe für "Computational Genomics and Epidemiology" am Max-Planck-Institut für Informatik in Saarbrücken. Im Jahr 2010 wurde sie auf den Lehrstuhl für Algorithmische Bioinformatik an der Heinrich-Heine-Universität in Düsseldorf berufen. Im Jahr 2014 übernahm sie die Leitung der Abteilung Bioinformatik der Infektionsforschung am Helmholtz-Zentrum für Infektionsforschung in Braunschweig und wurde als Professorin an die TU Braunschweig berufen.

Publikationen
Goliaei S., Foroughmand-Araabi M.H., Roddy A., Weber A., Översti S., ... , Kühnert D., McHardy A.C. (2024)
Importations of SARS-CoV-2 lineages decline after nonpharmaceutical interventions in phylogeographic analyses
Nat.Commun., 15 (1)

Eloe-Fadrosh E.A., Mungall C.J., Miller M.A., Smith M., Patil S.S., Kelliher J.M., Johnson L.Y.D., Rodriguez F.E., Chain P.S.G., Hu B., Thornton M.B., McCue L.A., McHardy A.C., Harris N.L., Reddy T.B.K., Mukherjee S., Hunter C.I., ... , Walls R., Schriml L.M. (2024)
A Practical Approach to Using the Genomic Standards Consortium MIxS Reporting Standard for Comparative Genomics and Metagenomics
Methods Mol Biol, 2. edition (20)

Gündüz H.A., Mreches R., Moosbauer J., Robertson G., To X.Y., Franzosa E.A., Huttenhower C., Rezaei M., McHardy A.C., Bischl B., ... , Münch P.C., Binder M. (2024)
Erratum: Author Correction: Optimized model architectures for deep learning on genomic data (Communications biology (2024) 7 1 (516))
Communications biology, 7 (1)

Gündüz H.A., Mreches R., Moosbauer J., Robertson G., To X.Y., Franzosa E.A., Huttenhower C., Rezaei M., McHardy A.C., Bischl B., ... , Münch P.C., Binder M. (2024)
Optimized model architectures for deep learning on genomic data
Communications biology, 7 (1)

Hu K., Meyer F., Deng Z.L., Asgari E., Kuo T.H., ... , Münch P.C., McHardy A.C. (2024)
Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
Briefings in Bioinformatics, 25 (3)

Scheppach A., Gunduz H.A., Dorigatti E., Munch P.C., McHardy A.C., Bischl B., ... , Rezaei M., Binder M. (2023)
Neural Architecture Search for Genomic Sequence Data

Huttenhower C., Finn R.D., McHardy A.C. (2023)
Challenges and opportunities in sharing microbiome data and analyses
Nat.Microbiol., 8 (11)

Gündüz H.A., Binder M., To X.Y., Mreches R., Bischl B., McHardy A.C., ... , Münch P.C., Rezaei M. (2023)
A self-supervised deep learning method for data-efficient training in genomics
Commun.Biolog., 6 (1)

Stanelle-Bertram S., Beck S., Mounogou N.K., Schaumburg B., Stoll F., Al Jawazneh A., Schmal Z., Bai T., Zickler M., Beythien G., Becker K., de la Roi M., Heinrich F., Schulz C., Sauter M., Krasemann S., Lange P., Heinemann A., Van Riel D., Leijten L., Bauer L., van den Bosch T.P.P., Lopuhaäa B., Busche T., Wibberg D., Schaudien D., Goldmann T., Lüttjohann A., Ruschinski J., Jania H., Müller Z., Pinho dos Reis V., Krupp-Buzimkic V., Wolff M., Fallerini C., Baldassarri M., Furini S., Norwood K., Käufer C., Schützenmeister N., Von Köckritz-Blickwede M., Schroeder M., Jarczak D., Nierhaus A., Welte T., Kluge S., McHardy A.C., Sommer F., Kalinowski J., Krauss-Etschmann S., Richter F., von der Thüsen J., Baumgärtner W., Klingel K., Ondruschka B., ... , Renieri A., Gabriel G. (2023)
CYP19A1 mediates severe SARS-CoV-2 disease outcome in males
Cell Rep.Med.

Münch P.C., Eberl C., Woelfel S., Ring D., Fritz A., Herp S., Lade I., Geffers R., Franzosa E.A., Huttenhower C., ... , McHardy A.C., Stecher B. (2023)
Pulsed antibiotic treatments of gnotobiotic mice manifest in complex bacterial community dynamics and resistance effects
Cell Host.Microbe, 31 (6)

Dickson A., Asgari E., McHardy A.C., Mofrad M.R.K. (2023)
GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations
Bioinformatics., 39 (2)

Nourani E., Asgari E., McHardy A.C., Mofrad M.R.K. (2022)
TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks
IEEE/ACM Trans.Comput.BioL.Bioinf., 19 (6)

Kennedy K.M., de Goffau M.C., Perez-Munoz M.E., Arrieta M.C., Bäckhed F., Bork P., Braun T., Bushman F.D., Dore J., de Vos W.M., Earl A.M., Eisen J.A., Elovitz M.A., Ganal-Vonarburg S.C., Gänzle M.G., Garrett W.S., Hall L.J., Hornef M.W., Huttenhower C., Konnikova L., Lebeer S., Macpherson A.J., Massey R.C., McHardy A.C., Koren O., Lawley T.D., Ley R.E., O'Mahony L., O'Toole P.W., Pamer E.G., Parkhill J., Raes J., Rattei T., Salonen A., Segal E., Segata N., Shanahan F., Sloboda D.M., Smith G.C.S., Sokol H., Spector T.D., Surette M.G., Tannock G.W., Walker A.W., ... , Yassour M., Walter J. (2023)
Questioning the fetal microbiome illustrates pitfalls of low-biomass microbial studies
Nature, 613 (7945)

Petrillo M., Fabbri M., Kagkli D.M., Querci M., Van den Eede G., Alm E., Aytan-Aktug D., Capella-Gutierrez S., Carrillo C., Cestaro A., Chan K.G., Coque T., Endrullat C., Gut I., Hammer P., Kay G.L., Madec J.Y., Mather A.E., McHardy A.C., Naas T., Paracchini V., Peter S., Pightling A., Raffael B., Rossen J., Ruppé E., Schlaberg R., Vanneste K., Weber L.M., ... , Westh H., Angers-Loustau A. (2022)
A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing
F1000 Res., 10

Poussin C., Khachatryan L., Sierro N., Narsapuram V.K., Meyer F., Kaikala V., Chawla V., Muppirala U., Kumar S., Belcastro V., Battey J.N.D., Scotti E., Boué S., McHardy A.C., Peitsch M.C., ... , Ivanov N.V., Hoeng J. (2022)
Crowdsourced benchmarking of taxonomic metagenome profilers: lessons learned from the sbv IMPROVER Microbiomics challenge
BMC.Genomics, 23 (1)

Foroughmand-Araabi M.H., Goliaei S., McHardy A.C. (2022)
Scelestial: Fast and accurate single-cell lineage tree inference based on a Steiner tree approximation algorithm
PLoS.Comput.Biol., 18 (8)

Cernava T., Rybakova D., Buscot F., Clavel T., McHardy A.C., Meyer F., Meyer F., Overmann J., Stecher B., Sessitsch A., ... , Schloter M., Berg G. (2022)
Metadata harmonization-Standards are the key for a better usage of omics data for integrative microbiome analysis
Environ.Microbiome., 17 (1)

Meyer F., Fritz A., Deng Z.L., Koslicki D., Lesker T.R., Gurevich A., Robertson G., Alser M., Antipov D., Beghini F., Bertrand D., Brito J.J., Brown C.T., Buchmann J., Buluc A., Chen B., Chikhi R., Clausen P.T.L.C., Cristian A., Dabrowski P.W., Darling A.E., Egan R., Eskin E., Georganas E., Goltsman E., Gray M.A., Hansen L.H., Hofmeyr S., Huang P., Irber L., Jia H., Jorgensen T.S., Kieser S.D., Klemetsen T., Kola A., Kolmogorov M., Korobeynikov A., Kwan J., LaPierre N., Lemaitre C., Li C., Limasset A., Malcher-Miranda F., Mangul S., Marcelino V.R., Marchet C., Marijon P., Meleshko D., Mende D.R., Milanese A., Nagarajan N., Nissen J., Nurk S., Oliker L., Paoli L., Peterlongo P., Piro V.C., Porter J.S., Rasmussen S., Rees E.R., Reinert K., Renard B., Robertsen E.M., Rosen G.L., Ruscheweyh H.J., Sarwal V., Segata N., Seiler E., Shi L., Sun F., Sunagawa S., Sorensen S.J., Thomas A., Tong C., Trajkovski M., Tremblay J., Uritskiy G., Vicedomini R., Wang Z., Warren A., Willassen N.P., Yelick K., You R., Zeller G., Zhao Z., Zhu S., Zhu J., Garrido-Oter R., Gastmeier P., Hacquard S., Häussler S., Khaledi A., Maechler F., Mesny F., Radutoiu S., Schulze-Lefert P., Smit N., Strowig T., Bremges A., ... , Sczyrba A., McHardy A.C. (2022)
Critical Assessment of Metagenome Interpretation: the second round of challenges
Nature Methods, 19 (4)

Hotop S.K., Reimering S., Shekhar A., Asgari E., Beutling U., Dahlke C., Fathi A., Khan F., Lütgehetmann M., Ballmann R., Gerstner A., Tegge W., Cicin-Sain L., Bilitewski U., ... , McHardy A.C., Brönstrup M. (2022)
Peptide microarrays coupled to machine learning reveal individual epitopes from human antibody responses with neutralizing capabilities against SARS-CoV-2
Emerg.Microbes Infect, 11 (1)

Deng Z.L., Münch P.C., Mreches R., McHardy A.C. (2022)
Rapid and accurate identification of ribosomal RNA sequences via deep learning
Nucleic Acids Res.

Mirzayi C., Renson A., Furlanello C., Sansone S.A., Zohra F., Elsafoury S., Geistlinger L., Kasselman L.J., Eckenrode K., van de Wijgert J., Loughman A., Marques F.Z., MacIntyre D.A., Arumugam M., Azhar R., Beghini F., Bergstrom K., Bhatt A., Bisanz J.E., Braun J., Bravo H.C., Buck G.A., Bushman F., Casero D., Clarke G., Collado M.C., Cotter P.D., Cryan J.F., Demmer R.T., Devkota S., Elinav E., Escobar J.S., Fettweis J., Finn R.D., Fodor A.A., Forslund S., Franke A., Furlanello C., Gilbert J., Grice E., Haibe-Kains B., Handley S., Herd P., Holmes S., Jacobs J.P., Karstens L., Knight R., Knights D., Koren O., Kwon D.S., Langille M., Lindsay B., McGovern D., McHardy A.C., McWeeney S., Mueller N.T., Nezi L., Olm M., Palm N., Pasolli E., Raes J., Redinbo M.R., Rühlemann M., Balfour Sartor R., Schloss P.D., Schriml L., Segal E., Shardell M., Sharpton T., Smirnova E., Sokol H., Sonnenburg J.L., Srinivasan S., Thingholm L.B., Turnbaugh P.J., Upadhyay V., Walls R.L., Wilmes P., Yamada T., Zeller G., Zhang M., Zhao N., Zhao L., Bao W., Culhane A., Devanarayan V., Dopazo J., Fan X., Fischer M., Jones W., Kusko R., Mason C.E., Mercer T.R., Sansone S.A., Scherer A., Shi L., Thakkar S., Tong W., Wolfinger R., Hunter C., Segata N., Huttenhower C., Dowd J.B., Jones H.E., Waldron L., ... , Genomic Standards Consortium, Massive Analysis and Quality Control Society (2021)
Reporting guidelines for human microbiome research: the STORMS checklist
Nat.Med., 27 (11)

Lähnemann D., Köster J., Fischer U., Borkhardt A., McHardy A.C., Schönhuth A. (2021)
Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
Nat.Commun., 12 (1)

Fritz A., Bremges A., Deng Z.L., Lesker T.R., Götting J., Ganzenmueller T., Sczyrba A., Dilthey A., ... , Klawonn F., McHardy A.C. (2021)
Haploflow: strain-resolved de novo assembly of viral genomes
Genome Biol., 22 (1)

Bahai A., Asgari E., Mofrad M.R.K., Kloetgen A., McHardy A.C. (2021)
EpitopeVec: Linear Epitope Prediction Using Deep Protein Sequence Embeddings
Bioinformatics.

Jakob C.E.M., Stecher M., Fuhrmann S., Wingen-Heimann S., Heinen S., Anton G., Behnke M., Behrends U., Boeker M., Castell S., Demski H., Diefenbach M., Falgenhauer J.C., Fritzenwanker M., Gastmeier P., Gerhard M., Glöckner S., Golubovic M., Gunsenheimer Bartmeyer B., Ingenerf J., Kaiser R., Körner M.L., Loag W., McHardy A., Molitor E., Nübel U., Pritsch M., Ramharter M., Rieg S.R., Rupp J., Schindler D., Schwudke D., Spinner C., Stottmeier B., Vehreschild M., ... , Willmann M., Vehreschild J.J. (2021)
Needs for an Integration of Specific Data Sources and Items - First Insights of a National Survey Within the German Center for Infection Research
Stud.Health Technol.Inform., 278 ([4] Medical Informatics, 29. chapter)

Warnat-Herresthal S., Schultze H., Shastry K.L., Manamohan S., Mukherjee S., Garg V., Sarveswara R., Händler K., Pickkers P., Aziz N.A., Ktena S., Tran F., Bitzer M., Ossowski S., Casadei N., Herr C., Petersheim D., Behrends U., Kern F., Fehlmann T., Schommers P., Lehmann C., Augustin M., Rybniker J., Altmüller J., Mishra N., Bernardes J.P., Krämer B., Bonaguro L., Schulte-Schrepping J., De Domenico E., Siever C., Kraut M., Desai M., Monnet B., Saridaki M., Siegel C.M., Drews A., Nuesch-Germano M., Theis H., Heyckendorf J., Schreiber S., Kim-Hellmuth S., Balfanz P., Eggermann T., Boor P., Hausmann R., Kuhn H., Isfort S., Stingl J.C., Schmalzing G., Kuhl C.K., Röhrig R., Marx G., Uhlig S., Dahl E., Müller-Wieland D., Dreher M., Marx N., Nattermann J., Skowasch D., Kurth I., Keller A., Bals R., Nürnberg P., Rieß O., Rosenstiel P., Netea M.G., Theis F., Mukherjee S., Backes M., Aschenbrenner A.C., Ulas T., Angelov A., Bartholomäus A., Becker A., Bezdan D., Blumert C., Bonifacio E., Bork P., Boyke B., Blum H., Clavel T., Colome-Tatche M., Cornberg M., De La Rosa Velazquez I.A., Diefenbach A., Dilthey A., Fischer N., Förstner K., Franzenburg S., Frick J.S., Gabernet G., Gagneur J., Ganzenmueller T., Gauder M., Geißert J., Goesmann A., Göpel S., Grundhoff A., Grundmann H., Hain T., Hanses F., Hehr U., Heimbach A., Hoeper M., Horn F., Hübschmann D., Hummel M., Iftner T., Iftner A., Illig T., Janssen S., Kalinowski J., Kallies R., Kehr B., Keppler O.T., Klein C., Knop M., Kohlbacher O., Köhrer K., Korbel J., Kremsner P.G., Kühnert D., Landthaler M., Li Y., Ludwig K.U., Makarewicz O., Marz M., McHardy A.C., Mertes C., Münchhoff M., Nahnsen S., Nöthen M., Ntoumi F., Overmann J., Peter S., Pfeffer K., Pink I., Poetsch A.R., Protzer U., Pühler A., Rajewsky N., Ralser M., Reiche K., Ripke S., da Rocha U.N., Saliba A.E., Sander L.E., Sawitzki B., Scheithauer S., Schiffer P., Schmid-Burgk J., Schneider W., Schulte E.C., Sczyrba A., Sharaf M.L., Singh Y., Sonnabend M., Stegle O., Stoye J., Vehreschild J., Velavan T.P., Vogel J., Volland S., von Kleist M., Walker A., Walter J., Wieczorek D., Winkler S., Ziebuhr J., Breteler M.M.B., Giamarellos-Bourboulis E.J., Kox M., Becker M., Cheran S., Woodacre M.S., Goh E.L., Schultze J.L., ... , COVID-19 Aachen Study (COVAS), Deutsche COVID-19 Omics Initiative (DeCOI) (2021)
Swarm Learning for decentralized and confidential clinical machine learning
Nature, 594 (7862)

Bernardes J.P., Mishra N., Tran F., Bahmer T., Best L., Blase J.I., Bordoni D., Franzenburg J., Geisen U., Josephs-Spaulding J., Köhler P., Künstner A., Rosati E., Aschenbrenner A.C., Bacher P., Baran N., Boysen T., Brandt B., Bruse N., Dörr J., Dräger A., Elke G., Ellinghaus D., Fischer J., Forster M., Franke A., Franzenburg S., Frey N., Friedrichs A., Fuß J., Glück A., Hamm J., Hinrichsen F., Hoeppner M.P., Imm S., Junker R., Kaiser S., Kan Y.H., Knoll R., Lange C., Laue G., Lier C., Lindner M., Marinos G., Markewitz R., Nattermann J., Noth R., Pickkers P., Rabe K.F., Renz A., Röcken C., Rupp J., Schaffarzyk A., Scheffold A., Schulte-Schrepping J., Schunk D., Skowasch D., Ulas T., Wandinger K.P., Wittig M., Zimmermann J., Busch H., Hoyer B.F., Kaleta C., Heyckendorf J., Kox M., Rybniker J., Schreiber S., Schultze J.L., Rosenstiel P., Banovich N.E., Desai T., Eickelberg O., Haniffa M., Horvath P., Kropski J.A., Lafyatis R., Lundeberg J., Meyer K., Nawijn M.C., Nikolic M., Ordovas Montanes J., Pe'er D., Tata P.R., Rawlins E., Regev A., Reyfman P., Samakovlis C., Schultze J., Shalek A., Shepherd D., Spence J., Teichmann S., Theis F., Tsankov A., van den Berge M., von Papen M., Whitsett J., Zaragosi L.E., Angelov A., Bals R., Bartholomäus A., Becker A., Bezdan D., Bonifacio E., Bork P., Clavel T., Colme-Tatche M., Diefenbach A., Dilthey A., Fischer N., Förstner K., Frick J.S., Gagneur J., Goesmann A., Hain T., Hummel M., Janssen S., Kalinowski J., Kallies R., Kehr B., Keller A., Kim-Hellmuth S., Klein C., Kohlbacher O., Korbel J.O., Kurth I., Landthaler M., Li Y., Ludwig K., Makarewicz O., Marz M., McHardy A., Mertes C., Nöthen M., Nürnberg P., Ohler U., Ossowski S., Overmann J., Peter S., Pfeffer K., Poetsch A.R., Pühler A., Rajewsky N., Ralser M., Rieß O., Ripke S., Nunes da Rocha U., Saliba A.E., Sander L.E., Sawitzki B., Schiffer P., Schulte E.C., Sczyrba A., Stegle O., Stoye J., Vehreschild J., Vogel J., von Kleist M., Walker A., Walter J., Wieczorek D., Ziebuhr J., ... , HCA Lung Biological Network, the Deutsche C.O.V.I. (2020)
Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19
Immunity, 53 (6)

Meyer F., Lesker T.R., Koslicki D., Fritz A., Gurevich A., Darling A.E., Sczyrba A., ... , Bremges A., McHardy A.C. (2021)
Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit
Nat.Protoc., 16 (4)

Deng Z.L., Dhingra A., Fritz A., Götting J., Münch P.C., Steinbrück L., Schulz T.F., ... , Ganzenmüller T., McHardy A. (2021)
Evaluating assembly and variant calling software for strain-resolved analysis of large DNA viruses
Briefings in Bioinformatics, 22 (3)

Bankwitz D., Bahai A., Labuhn M., Doepke M., Ginkel C., Khera T., Todt D., Ströh L.J., Dold L., Klein F., Klawonn F., Krey T., Behrendt P., Cornberg M., ... , McHardy A.C., Pietschmann T. (2021)
Hepatitis C reference viruses highlight potent antibody responses and diverse viral functional interactions with neutralising antibodies
GUT

Münch P.C., Franzosa E.A., Stecher B., McHardy A.C., Huttenhower C. (2020)
Identification of Natural CRISPR Systems and Targets in the Human Microbiome
Cell Host.Microbe, 29 (1)

Hufsky F., Lamkiewicz K., Almeida A., Aouacheria A., Arighi C., Bateman A., Baumbach J., Beerenwinkel N., Brandt C., Cacciabue M., Chuguransky S., Drechsel O., Finn R.D., Fritz A., Fuchs S., Hattab G., Hauschild A.C., Heider D., Hoffmann M., Hölzer M., Hoops S., Kaderali L., Kalvari I., von Kleist M., Kmiecinski R., Kühnert D., Lasso G., Libin P., List M., Löchel H.F., Martin M.J., Martin R., Matschinske J., McHardy A.C., Mendes P., Mistry J., Navratil V., Nawrocki E.P., O'Toole ÁN, Ontiveros-Palacios N., Petrov A.I., Rangel-Pineros G., Redaschi N., Reimering S., Reinert K., Reyes A., Richardson L., Robertson D.L., Sadegh S., Singer J.B., Theys K., Upton C., Welzel M., ... , Williams L., Marz M. (2021)
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research
Brief.Bioinform., 22 (2)

Schulte-Schrepping J., Reusch N., Paclik D., Baßler K., Schlickeiser S., Zhang B., Krämer B., Krammer T., Brumhard S., Bonaguro L., De Domenico E., Wendisch D., Grasshoff M., Kapellos T.S., Beckstette M., Pecht T., Saglam A., Dietrich O., Mei H.E., Schulz A.R., Conrad C., Kunkel D., Vafadarnejad E., Xu C.J., Horne A., Herbert M., Drews A., Thibeault C., Pfeiffer M., Hippenstiel S., Hocke A., Müller-Redetzky H., Heim K.M., Machleidt F., Uhrig A., Bosquillon de Jarcy L., Jürgens L., Stegemann M., Glösenkamp C.R., Volk H.D., Goffinet C., Landthaler M., Wyler E., Georg P., Schneider M., Dang-Heine C., Neuwinger N., Kappert K., Tauber R., Corman V., Raabe J., Kaiser K.M., Vinh M.T., Rieke G., Meisel C., Ulas T., Becker M., Geffers R., Witzenrath M., Drosten C., Suttorp N., von Kalle C., Kurth F., Händler K., Schultze J.L., Aschenbrenner A.C., Li Y., Nattermann J., Sawitzki B., Saliba A.E., Sander L.E., Angelov A., Bals R., Bartholomäus A., Becker A., Bezdan D., Bonifacio E., Bork P., Clavel T., Colome-Tatche M., Diefenbach A., Dilthey A., Fischer N., Förstner K., Frick J.S., Gagneur J., Goesmann A., Hain T., Hummel M., Janssen S., Kalinowski J., Kallies R., Kehr B., Keller A., Kim-Hellmuth S., Klein C., Kohlbacher O., Korbel J.O., Kurth I., Ludwig K., Makarewicz O., Marz M., McHardy A., Mertes C., Nöthen M., Nürnberg P., Ohler U., Ossowski S., Overmann J., Peter S., Pfeffer K., Poetsch A.R., Pühler A., Rajewsky N., Ralser M., Rieß O., Ripke S., Nunes da Rocha U., Rosenstiel P., Schiffer P., Schulte E.C., Sczyrba A., Stegle O., Stoye J., Theis F., Vehreschild J., Vogel J., von Kleist M., Walker A., Walter J., Wieczorek D., ... , Ziebuhr J., Deutsche C.O.V.I. (2020)
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
Cell, 182 (6)

Spriewald S., Stadler E., Hense B.A., Münch P.C., McHardy A.C., Weiss A.S., Obeng N., ... , Müller J., Stecher B. (2020)
Evolutionary stabilization of cooperative toxin production through a bacterium-plasmid-phage interplay
MBio, 11 (4)

Kloetgen A., Duggimpudi S., Schuschel K., Hezaveh K., Picard D., Schaal H., Remke M., Klusmann J.H., Borkhardt A., ... , McHardy A.C., Hoell J.I. (2020)
YBX1 Indirectly Targets Heterochromatin-Repressed Inflammatory Response-Related Apoptosis Genes through Regulating CBX5 mRNA
Int.J.Mol.Sci., 21 (12)

Goeser F., Münch P., Lesker T.R., Lutz P.L., Krämer B., Kaczmarek D.J., Finnemann C., Nischalke H.D., Geffers R., Parcina M., McHardy A., Strassburg C., Hoerauf A., Nattermann J., ... , Bekeredjian-Ding I., Spengler U. (2021)
Neither black nor white: Do altered intestinal microbiota reflect chronic liver disease severity?
GUT, 70 (2)

Thiele S., Stanelle-Bertram S., Beck S., Kouassi N.M., Zickler M., Müller M., Tuku B., Resa-Infante P., Van Riel D., Alawi M., Günther T., Rother F., Hügel S., Reimering S., McHardy A., Grundhoff A., Brune W., Osterhaus A., Bader M., ... , Hartmann E., Gabriel G. (2020)
Cellular Importin-a3 Expression Dynamics in the Lung Regulate Antiviral Response Pathways against Influenza A Virus Infection
Cell Rep., 31 (3)

Lesker T.R., Durairaj A.C., Gálvez E.J.C., Lagkouvardos I., Baines J.F., Clavel T., Sczyrba A., ... , McHardy A.C., Strowig T. (2020)
An Integrated Metagenome Catalog Reveals New Insights into the Murine Gut Microbiome
Cell Rep., 30 (9)

Amann R.I., Baichoo S., Blencowe B.J., Bork P., Borodovsky M., Brooksbank C., Chain P.S.G., Colwell R.R., Daffonchio D.G., Danchin A., de Lorenzo V., Dorrestein P.C., Finn R.D., Fraser C.M., Gilbert J.A., Hallam S.J., Hugenholtz P., Ioannidis J.P.A., Jansson J.K., Kim J.F., Klenk H.P., Klotz M.G., Knight R., Konstantinidis K.T., Kyrpides N.C., Mason C.E., McHardy A.C., Meyer F., Ouzounis C.A., Patrinos A.A.N., Podar M., Pollard K.S., Ravel J., Munoz A.R., Roberts R.J., Rossello-Mora R., Sansone S.A., Schloss P.D., Schriml L.M., Setubal J.C., Sorek R., Stevens R.L., Tiedje J.M., Turjanski A., Tyson G.W., Ussery D.W., Weinstock G.M., White O., ... , Whitman W.B., Xenarios I. (2019)
Toward unrestricted use of public genomic data
Science, 363 (6425)

Reimering S., Munoz S., McHardy A.C. (2020)
Phylogeographic reconstruction using air transportation data and its application to the 2009 H1N1 influenza A pandemic
PLoS.Comput.Biol., 16 (2)

Khaledi A., Weimann A., Schniederjans M., Asgari E., Kuo T.H., Oliver A., Cabot G., Kola A., Gastmeier P., Hogardt M., Jonas D., Mofrad M.R., Bremges A., ... , McHardy A.C., Häußler S. (2020)
Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics
EMBO Mol.Med., 12 (3)

Lähnemann D., Köster J., Szczurek E., McCarthy D.J., Hicks S.C., Robinson M.D., Vallejos C.A., Campbell K.R., Beerenwinkel N., Mahfouz A., Pinello L., Skums P., Stamatakis A., Attolini C.S.-O., Aparicio S., Baaijens J., Balvert M., Barbanson B., Cappuccio A., Corleone G., Dutilh B.E., Florescu M., Guryev V., Holmer R., Jahn K., Lobo T.J., Keizer E.M., Khatri I., Kielbasa S.M., Korbel J.O., Kozlov A.M., Kuo T.H., Lelieveldt B.P.F., Mandoiu I.I., Marioni J.C., Marschall T., Mölder F., Niknejad A., Raczkowski L., Reinders M., Ridder J., Saliba A.E., Somarakis A., Stegle O., Theis F.J., Yang H., Zelikovsky A., McHardy A.C., Raphael B.J., ... , Shah S.P., Schönhuth A. (2020)
Eleven grand challenges in single-cell data science
Genome Biol., 21 (1)

Bremges A., Fritz A., McHardy A.C. (2020)
CAMITAX: Taxon labels for microbial genomes
Gigascience., 9 (1)

Zhou N., Jiang Y., Bergquist T.R., Lee A.J., Kacsoh B.Z., Crocker A.W., Lewis K.A., Georghiou G., Nguyen H.N., Hamid M.N., Davis L., Dogan T., Atalay V., Rifaioglu A.S., Dalkiran A., Cetin Atalay R., Zhang C., Hurto R.L., Freddolino P.L., Zhang Y., Bhat P., Supek F., Gemovic B., Perovic V.R., Davidovic R.S., Sumonja N., Veljkovic N., Asgari E., Mofrad M.R.K., Profiti G., Savojardo C., Martelli P.L., Casadio R., Boecker F., Schoof H., Kahanda I., Thurlby N., McHardy A.C., Renaux A., Saidi R., Gough J., Freitas A.A., Antczak M., Fabris F., Wass M.N., Hou J., Cheng J., Wang Z., Romero A.E., Paccanaro A., Yang H., Goldberg T., Zhao C., Holm L., Törönen P., Medlar A.J., Zosa E., Borukhov I., Novikov I., Wilkins A., Lichtarge O., Chi P.H., Tseng W.C., Linial M., Rose P.W., Dessimoz C., Vidulin V., Dzeroski S., Sillitoe I., Das S., Lees J.G., Jones D.T., Wan C., Cozzetto D., Fa R., Torres M., Warwick Vesztrocy A., Rodriguez J.M., Tress M.L., Frasca M., Notaro M., Grossi G., Petrini A., Re M., Valentini G., Mesiti M., Roche D.B., Reeb J., Ritchie D.W., Aridhi S., Alborzi S.Z., Devignes M.D., Koo D.C.E., Bonneau R., Gligorijevic V., Barot M., Fang H., Toppo S., Lavezzo E., Falda M., Berselli M., Tosatto S.C.E., Carraro M., Piovesan D., Ur Rehman H., Mao Q., Zhang S., Vucetic S., Black G.S., Jo D., Suh E., Dayton J.B., Larsen D.J., Omdahl A.R., McGuffin L.J., Brackenridge D.A., Babbitt P.C., Yunes J.M., Fontana P., Zhang F., Zhu S., You R., Zhang Z., Dai S., Yao S., Tian W., Cao R., Chandler C., Amezola M., Johnson D., Chang J.M., Liao W.H., Liu Y.W., Pascarelli S., Frank Y., Hoehndorf R., Kulmanov M., Boudellioua I., Politano G., Di Carlo S., Benso A., Hakala K., Ginter F., Mehryary F., Kaewphan S., Björne J., Moen H., Tolvanen M.E.E., Salakoski T., Kihara D., Jain A., Šmuc T., Altenhoff A., Ben-Hur A., Rost B., Brenner S.E., Orengo C.A., Jeffery C.J., Bosco G., Hogan D.A., Martin M.J., O'Donovan C., Mooney S.D., ... , Greene C.S., Radivojac P. (2019)
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Genome Biol., 20 (1)

Hoell J.I., Ginzel S., Kuhlen M., Kloetgen A., Gombert M., Fischer U., Hein D., Demir S., Stanulla M., Schrappe M., Zur Stadt U., Bader P., Babor F., Schuster F., Strahm B., Alten J., Moericke A., Escherich G., von Stackelberg A., Thiele R., McHardy A.C., Peters C., Bornhauser B., Bourquin J.P., Krause S., Enczmann J., Meyer L.H., Eckert C., ... , Borkhardt A., Meisel R. (2019)
Pediatric ALL relapses after allo-SCT show high individuality, clonal dynamics, selective pressure, and druggable targets
Blood Adv., 3 (20)

Asgari E., Garakani K., McHardy A.C., Mofrad M.R.K. (2019)
Corrigendum: MicroPheno: Predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples (Bioinformatics (2019) 35:6 (1082) DOI: 10.1093/bioinformatics/bty296)
Bioinformatics, 35 (6)

Klingen T.R., Loers J., Stanelle-Bertram S., Gabriel G., McHardy A.C. (2019)
Structures and functions linked to genome-wide adaptation of human influenza A viruses
Sci.Rep., 9 (1)

Meyer F., Bremges A., Belmann P., Janssen S., McHardy A.C., Koslicki D. (2019)
Assessing taxonomic metagenome profilers with OPAL
Genome Biol., 20 (1)

Asgari E., McHardy A.C., Mofrad M.R.K. (2019)
Probabilistic variable-length segmentation of protein sequences for discriminative motif discovery (DiMotif) and sequence embedding (ProtVecX)
Sci.Rep., 9 (1)

Duggimpudi S., Kloetgen A., Maney S.K., Münch P.C., Hezaveh K., Shaykhalishahi H., Hoyer W., McHardy A.C., Lang P.A., ... , Borkhardt A., Hoell J.I. (2018)
Transcriptome-wide analysis uncovers the targets of the RNA-binding protein MSI2 and effects of MSI2's RNA-binding activity on IL-6 signaling
J.Biol.Chem., 293 (40)

Vatanen T., Plichta D.R., Somani J., Münch P.C., Arthur T.D., Hall A.B., Rudolf S., Oakeley E.J., Ke X., Young R.A., Haiser H.J., Kolde R., Yassour M., Luopajärvi K., Siljander H., Virtanen S.M., Ilonen J., Uibo R., Tillmann V., Mokurov S., Dorshakova N., Porter J.A., McHardy A.C., Lähdesmäki H., Vlamakis H., Huttenhower C., ... , Knip M., Xavier R.J. (2019)
Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life
Nat.Microbiol., 4 (3)

Fritz A., Hofmann P., Majda S., Dahms E., Droge J., Fiedler J., Lesker T.R., Belmann P., DeMaere M.Z., Darling A.E., Sczyrba A., ... , Bremges A., McHardy A.C. (2019)
CAMISIM: simulating metagenomes and microbial communities
Microbiome., 7 (1)

Vatanen T., Plichta D.R., Somani J., Münch P.C., Arthur T.D., Hall A.B., Rudolf S., Oakeley E.J., Ke X., Young R.A., Haiser H.J., Kolde R., Yassour M., Luopajärvi K., Siljander H., Virtanen S.M., Ilonen J., Uibo R., Tillmann V., Mokurov S., Dorshakova N., Porter J.A., McHardy A.C., Lähdesmäki H., Vlamakis H., Huttenhower C., ... , Knip M., Xavier R.J. (2019)
Correction to: Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life (Nature Microbiology, (2019), 4, 3, (470-479), 10.1038/s41564-018-0321-5)
Nat.Microbiol., 4 (3)

Asgari E., Münch P.C., Lesker T.R., McHardy A.C., Mofrad M.R.K. (2019)
DiTaxa: Nucleotide-pair encoding of 16S rRNA for host phenotype and biomarker detection
Bioinformatics., 35 (14)

Reimering S., Munoz S., McHardy A.C. (2018)
A Fréchet tree distance measure to compare phylogeographic spread paths across trees
Sci.Rep., 8 (1)

Reimering S., McHardy A.C. (2018)
Software for Characterizing the Antigenic and Genetic Evolution of Human Influenza Viruses
Methods Mol.Biol., 1836 (chapter 26)

Bremges A., McHardy A.C. (2018)
Critical Assessment of Metagenome Interpretation Enters the Second Round
mSystems., 3 (4)

Asgari E., Garakani K., McHardy A.C., Mofrad M.R.K. (2018)
MicroPheno: predicting environments and host phenotypes from 16S rRNA gene sequencing using a k-mer based representation of shallow sub-samples
Bioinformatics., 34 (13)

Garrido-Oter R., Nakano R.T., Dombrowski N., Ma K.W., McHardy A.C., ... , Schulze-Lefert P., The AgBiome Team (2018)
Modular Traits of the Rhizobiales Root Microbiota and Their Evolutionary Relationship with Symbiotic Rhizobia
Cell Host and Microbe, 24 (1)

Meyer F., Hofmann P., Belmann P., Garrido-Oter R., Fritz A., ... , Sczyrba A., McHardy A.C. (2018)
AMBER: Assessment of Metagenome BinnERs
Gigascience., 7 (6)

Ibrahim B., Arkhipova K., Andeweg A.C., Posada-Cespedes S., Enault F., Gruber A., Koonin E.V., Kupczok A., Lemey P., McHardy A.C., McMahon D.P., Pickett B.E., Robertson D.L., Scheuermann R.H., Zhernakova A., Zwart M.P., Schonhuth A., ... , Dutilh B.E., Marz M. (2018)
Bioinformatics Meets Virology: The European Virus Bioinformatics Center's Second Annual Meeting
Viruses., 10 (5)

Naas A.E., Solden L.M., Norbeck A.D., Brewer H., Hagen L.H., Heggenes I.M., McHardy A.C., Mackie R.I., Pasa-Tolic L., Arntzen M.Ï., Eijsink V.G.H., Koropatkin N.M., Hess M., ... , Wrighton K.C., Pope P.B. (2018)
"Candidatus Paraporphyromonas polyenzymogenes" encodes multi-modular cellulases linked to the type IX secretion system
Microbiome, 6 (1)

Klingen T.R., Reimering S., Loers J., Mooren K., Klawonn F., Krey T., ... , Gabriel G., McHardy A.C. (2018)
Sweep Dynamics (SD) plots: Computational identification of selective sweeps to monitor the adaptation of influenza A viruses
Sci.Rep., 8 (1)

Grießmeier V., Bremges A., McHardy A.C., Gescher J. (2017)
Investigation of different nitrogen reduction routes and their key microbial players in wood chip-driven denitrification beds
Sci.Rep., 7 (1)

Maus I., Bremges A., Stolze Y., Hahnke S., Cibis K.G., Koeck D.E., Kim Y.S., Kreubel J., Hassa J., Wibberg D., Weimann A., Off S., Stantscheff R., Zverlov V.V., Schwarz W.H., Konig H., Liebl W., Scherer P., McHardy A.C., Sczyrba A., Klocke M., ... , Puhler A., Schluter A. (2017)
Genomics and prevalence of bacterial and archaeal isolates from biogas-producing microbiomes
Biotechnol.Biofuels., 10 (1)

Dröge J., Schönhuth A., McHardy A.C. (2017)
A probabilistic model to recover individual genomes from metagenomes
PeerJ Comput.Sci., 2017 (5)

Sczyrba A., Hofmann P., Belmann P., Koslicki D., Janssen S., Droge J., Gregor I., Majda S., Fiedler J., Dahms E., Bremges A., Fritz A., Garrido-Oter R., Jorgensen T.S., Shapiro N., Blood P.D., Gurevich A., Bai Y., Turaev D., DeMaere M.Z., Chikhi R., Nagarajan N., Quince C., Meyer F., Balvociute M., Hansen L.H., Sorensen S.J., Chia B.K.H., Denis B., Froula J.L., Wang Z., Egan R., Don Kang D., Cook J.J., Deltel C., Beckstette M., Lemaitre C., Peterlongo P., Rizk G., Lavenier D., Wu Y.W., Singer S.W., Jain C., Strous M., Klingenberg H., Meinicke P., Barton M.D., Lingner T., Lin H.H., Liao Y.C., Silva G.G.Z., Cuevas D.A., Edwards R.A., Saha S., Piro V.C., Renard B.Y., Pop M., Klenk H.P., Goker M., Kyrpides N.C., Woyke T., Vorholt J.A., Schulze-Lefert P., Rubin E.M., Darling A.E., ... , Rattei T., McHardy A.C. (2017)
Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software
Nat.Methods, 14 (11)

Klingen T.R., Reimering S., Guzmán C.A., McHardy A.C. (2017)
In Silico Vaccine Strain Prediction for Human Influenza Viruses
Trends Microbiol., 26 (2)

Krause S., Bremges A., Münch P.C., McHardy A.C., Gescher J. (2017)
Characterisation of a stable laboratory co-culture of acidophilic nanoorganisms
Sci.Rep., 7 (1)

Münch P.C., Stecher B., McHardy A.C. (2017)
EDEN: Evolutionary Dynamics within Environments
Bioinformatics., 33 (20)

Dong X., Droge J., von Toerne C., Marozava S., McHardy A.C., Meckenstock R.U. (2016)
Reconstructing metabolic pathways of a member of the genus Pelotomaculum suggesting its potential to oxidize benzene to carbon dioxide with direct reduction of sulfate
FEMS Microbiol.Ecol., 93 (3)

Kunath B.J., Bremges A., Weimann A., McHardy A.C., Pope P.B. (2017)
Metagenomics and CAZyme Discovery
Methods Mol.Biol., 1588

Weimann A., Mooren K., Frank J., Pope P.B., Bremges A., McHardy A.C. (2016)
From Genomes to Phenotypes: Traitar, the Microbial Trait Analyzer
mSystems, 1 (6)

Brugiroux S., Beutler M., Pfann C., Garzetti D., Ruscheweyh H.J., Ring D., Diehl M., Herp S., Lotscher Y., Hussain S., Bunk B., Pukall R., Huson D.H., Münch P.C., McHardy A.C., McCoy K.D., Macpherson A.J., Loy A., Clavel T., ... , Berry D., Stecher B. (2016)
Genome-guided design of a defined mouse microbiota that confers colonization resistance against Salmonella enterica serovar Typhimurium
Nat.Microbiol., 2

McHardy A.C., Kloetgen A. (2017)
Finding Genes in Genome Sequence
Methods Mol.Biol., 1525 (11)

Kloetgen A., Borkhardt A., Hoell J.I., McHardy A.C. (2016)
The PARA-suite: PAR-CLIP specific sequence read simulation and processing
PeerJ., 4

Frank J.A., Arntzen M.O., Sun L., Hagen L.H., McHardy A.C., Horn S.J., Eijsink V.G., ... , Schnurer A., Pope P.B. (2016)
Novel Syntrophic Populations Dominate an Ammonia-Tolerant Methanogenic Microbiome
mSystems., 1 (5)

Kratsch C., Klingen T.R., Mumken L., Steinbruck L., McHardy A.C. (2016)
Determination of antigenicity-altering patches on the major surface protein of human influenza A/H3N2 viruses
Virus Evol., 2 (1)

Doerrenberg M., Kloetgen A., Hezaveh K., Wossmann W., Bleckmann K., Stanulla M., Schrappe M., McHardy A.C., ... , Borkhardt A., Hoell J.I. (2016)
T-Cell Acute Lymphoblastic Leukemia in Infants Has Distinct Genetic and Epigenetic Features Compared to Childhood Cases
Genes Chromosomes.Cancer, 56 (2)

Gregor I., Schonhuth A., McHardy A.C. (2016)
Snowball: strain aware gene assembly of metagenomes
Bioinformatics., 32 (17)

Ikeda-Ohtsubo W., Strassert J.F., Kohler T., Mikaelyan A., Gregor I., McHardy A.C., Tringe S.G., Hugenholtz P., ... , Radek R., Brune A. (2016)
'Candidatus Adiutrix intracellularis', an endosymbiont of termite gut flagellates, is the first representative of a deep-branching clade of Deltaproteobacteria and a putative homoacetogen
Environ.Microbiol., 18 (8)

Hezaveh K., Kloetgen A., Bernhart S.H., Mahapatra K.D., Lenze D., Richter J., Haake A., Bergmann A.K., Brors B., Burkhardt B., Claviez A., Drexler H.G., Eils R., Haas S., Hoffmann S., Karsch D., Klapper W., Kleinheinz K., Korbel J., Kretzmer H., Kreuz M., Kuppers R., Lawerenz C., Leich E., Loeffler M., Mantovani-Loeffler L., Lopez C., McHardy A.C., Moller P., Rohde M., Rosenstiel P., Rosenwald A., Schilhabel M., Schlesner M., Scholz I., Stadler P.F., Stilgenbauer S., Sungalee S., Szczepanowski M., Trumper L., Weniger M.A., Siebert R., Borkhardt A., ... , Hummel M., Hoell J.I. (2016)
Alterations of miRNAs and miRNA-regulated mRNA expression in GC B cell lymphomas determined by integrative sequencing analysis
Haematologica, 101

Otte A., Marriott A.C., Dreier C., Dove B., Mooren K., Klingen T.R., Sauter M., Thompson K.A., Bennett A., Klingel K., Van Riel D., McHardy A.C., ... , Carroll M.W., Gabriel G. (2016)
Evolution of 2009 H1N1 influenza viruses during the pandemic correlates with increased viral pathogenicity and transmissibility in the ferret model
Sci.Rep., 6

Hacquard S., Kracher B., Hiruma K., Münch P.C., Garrido-Oter R., Thon M.R., Weimann A., Damm U., Dallery J.F., Hainaut M., Henrissat B., Lespinet O., Sacristan S., Ver Loren van Themaat E., Kemen E., McHardy A.C., ... , Schulze-Lefert P., O'Connell R.J. (2016)
Survival trade-offs in plant roots during colonization by closely related beneficial and pathogenic fungi
Nat.Commun., 7

Frank J.A., Pan Y., Tooming-Klunderud A., Eijsink V.G., McHardy A.C., ... , Nederbragt A.J., Pope P.B. (2016)
Improved metagenome assemblies and taxonomic binning using long-read circular consensus sequence data
Sci Rep., 6

Gregor I., Droge J., Schirmer M., Quince C., McHardy A.C. (2016)
PhyloPythiaS+: a self-training method for the rapid reconstruction of low-ranking taxonomic bins from metagenomes
PeerJ, 4

Bulgarelli D., Garrido-Oter R., Münch P.C., Weiman A., Dröge J., Pan Y., ... , McHardy A.C., Schulze-Lefert P. (2015)
Structure and function of the bacterial root microbiota in wild and domesticated barley
Cell Host.Microbe, 17 (3)

Bai Y., Muller D.B., Srinivas G., Garrido-Oter R., Potthoff E., Rott M., Dombrowski N., Münch P.C., Spaepen S., Remus-Emsermann M., Huttel B., McHardy A.C., ... , Vorholt J.A., Schulze-Lefert P. (2015)
Functional overlap of the Arabidopsis leaf and root microbiota
Nature, 528

Belmann P., Droge J., Bremges A., McHardy A.C., Sczyrba A., Barton M.D. (2015)
Bioboxes: standardised containers for interchangeable bioinformatics software
Gigascience., 4

McHardy A.C. (2015)
How to Grow a Computational Biology Lab
PLoS Comput.Biol., 11 (9)

Kloetgen A., Münch P.C., Borkhardt A., Hoell J.I., McHardy A.C. (2015)
Biochemical and bioinformaticmethods for elucidating the role of RNA-protein interactions in posttranscriptional regulation
Brief.Funct.Genomics, 14 (2)

Gubry-Rangin C., Kratsch C., Williams T.A., McHardy A.C., Embley T.M., ... , Prosser J.I., Macqueen D.J. (2015)
Coupling of diversification and pH adaptation during the evolution of terrestrial Thaumarchaeota
Proc.Natl.Acad.Sci U.S A, 112

Otte A., Sauter M., Daxer M.A., McHardy A.C., Klingel K., Gabriel G. (2015)
Adaptive mutations that occurred during 2009 H1N1 influenza virus pandemic circulation in humans enhance virulence in mice
J Virol., 89

Hacquard S., Garrido-Oter R., Gonzalez A., Spaepen S., Ackermann G., Lebeis S., McHardy A.C., Dangl J.L., Knight R., ... , Ley R., Schulze-Lefert P. (2015)
Microbiota and Host Nutrition across Plant and Animal Kingdoms
Cell Host.Microbe, 17 (5)

Dröge J., Gregor I., McHardy Alison C. (2014)
Taxator-tk: Precise Taxonomic Assignment of Metagenomes by Fast Approximation of Evolutionary Neighborhoods
Bioinformatics, 31

Steinbruck L., Klingen T.R., McHardy Alison C. (2014)
Computational prediction of vaccine strains for human influenza A (H3N2) viruses
Journal of Virology, 88 (20)

Schneiker S., Perlova O., Kaiser O., Gerth Klaus*, Alici A., Altmeyer M.O., Bartels D., Bekel T., Beyer S., Bode E., Bode H.B., Bolten C.J., Choudhuri J.V., Doss S., Elnakady Y.A., Frank B., Gaigalat L., Goesmann A., Groeger C., Gross F., Jelsbak L., Jelsbak L., Kalinowski J., Kegler C., Knauber T., Konietzny S., Kopp M., Krause L., Krug D., Linke B., Mahmud T., Martinez-Arias R., McHardy A.C., Merai M., Meyer F., Mormann S., Muoz-Dorado J., Perez J., Pradella S., Rachid S., Raddatz G., Rosenau F., Rückert C., Sasse Florian*, Scharfe Maren*, Schuster S.C., Suen G., Treuner-Lange A., Velicer G.J., Vorhölter F.-J., Weissmann K.J., Welch R.D., Wenzel S.C., Whithworth D.E., Wilhelm S., Wittmann C., Blöcker Helmut*, ... , Pühler A., Müller Rolf* (2007)
Complete genome sequence of the myxobacterium Sorangium cellulosum
Nature Biotechnology, 25 (11)

Schneiker S., Martins dos Santos Vitor A.P.*, Bartels D., Bekel T., Brecht M., Buhrmester J., Chernikova T.N., Denaro R., Ferrer M., Gertler C., Goesmann A., Golyshina Olga V.*, Kaminski F., Khachane A.N., Lang S., Linke B., McHardy A.C., Meyer F., Nechitaylo T., Puhler A., Regenhardt D., Rupp O., Sabirova J.S., Selbitschka W., Yakimov M.M., Timmis Kenneth N.*, Vorholter F.J., Weidner S., ... , Kaiser O., Golyshin Peter N.* (2006)
Genome sequence of the ubiquitous hydrocarbon-degrading marine bacterium Alcanivorax borkumensis
Nature Biotechnology, 24 (8)