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Ask your data. Get answers. No coding needed

We will help you doing your research much faster, more accurately and even cheaper than ever before.

Empowering researchers to analyze omics data seamlessly

Extracting insights from omics data shouldn't require complex coding

Automated Analysis

Let AI handle complex
bioinformatics.

Faster Insights

Reduce analysis time from weeks to minutes.

No Coding Needed

User-friendly interface for all researchers.

How it works

Forget complex scripts and manual data processing. Our AI-driven platform simplifies bioinformatics.

Upload data

Easily upload your data

Ask questions

Use simple questions to access your data.

Get insights

AI-driven analysis and interactive visualizations

Refine & Explore

Iterate on findings with intuitive tools

Our platform's analytics are already trusted by scientists around the world

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It is so difficult to find reliable data scientists. Then it takes long time for the analysis, aimed analytics offers us very quick feedback.​

Dr. Wataru Fujii

Kyoto Prefectural University of Medicine

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The detailed familiarization with the project and the extra analysis of the data tailored to the problem made the difference.

Prof. Dr. Anja Schneider

DZNE

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Quick turn over times, profound biological background, professional and personal communciation.

Prof. Dr. rer. nat. Sven Wehner

UKB - Universitätsklinikum Bonn

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The bioinformatician could understand the experimental settings and this helped with finding common ground for the analyses.​

Prof. Dr. Veronika Lukacs-Kornek

Universität Bonn

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Fast and efficacious

Prof. Dr. med. Annkristin Heine

UKB - Universitätsklinikum Bonn

Use-Cases

Our software is helping with different medical challenges. Here are some examples to demonstrate the power of our product.

Immunological characteristics of bronchoalveolar lavage fluid and blood across connective tissue disease-associated interstitial lung diseases

Aiko Hirano, Aki Sakashita, Wataru Fujii, Kevin Baßler, Taisuke Tsuji, Masatoshi Kadoya, Atsushi Omoto, Noriya Hiraoka et al. (2024)

Suppressive Myeloid Cells Are a Hallmark of Severe COVID-19

Schulte-Schrepping, Jonas, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, et al. 2020.

Alterations of Multiple Alveolar Macrophage States in Chronic Obstructive Pulmonary Disease

Kevin Baßler, Wataru Fujii, Theodore S. Kapellos, Arik Horne, Benedikt Reiz, Erika Dudkin, Malte Lücken, et al. 2020.

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Günther, et al. 2020.

A rule-based data-informed cellular consensus map of the human mononuclear phagocyte cell space

Patrick Günther, Branko Cirovic, Kevin Baßler, Kristian Händler, Matthias Becker, et al. 2019.

Aging Induces an Nlrp3 Inflammasome-Dependent Expansion of Adipose B Cells That Impairs Metabolic Homeostasis.

Camell CD, Günther P, Lee A, Goldberg EL, Spadaro O, Youm YH, Bartke A, Hubbard GB, Ikeno Y, Ruddle NH, Schultze J, Dixit VD.

Memory-Driven Computing Accelerates Genomic Data Processing

Matthias Becker, Milind Chabbi, Stefanie Warnat-Herresthal, Kathrin Klee, Jonas Schulte-Schrepping, Pawel Biernat, Patrick Günther, Kevin Baßler, et al. 2019.

Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming

Christ A, Günther P, Lauterbach MAR, Duewell P, Biswas D, Pelka K, Scholz CJ, Oosting M, Haendler K, Baßler K, Klee K, Schulte-Schrepping J, Ulas T, Moorlag SJCFM, Kumar V, Park MH, Joosten LAB, Groh LA, Riksen NP, Espevik T, Schlitzer A, Li Y, Fitzgerald ML, Netea MG, Schultze JL, Latz E.

Mapping the human DC lineage through the integration of high-dimensional techniques

See P, Dutertre CA, Chen J, Günther P, McGovern N, Irac SE, Gunawan M, Beyer M, Händler K, Duan K, Sumatoh HRB, Ruffin N, Jouve M, Gea-Mallorquí E, Hennekam RCM, Lim T, Yip CC, Wen M, Malleret B, Low I, Shadan NB, Fen CFS, Tay A, Lum J, Zolezzi F, Larbi A, Poidinger M, Chan JKY, Chen Q, Rénia L, Haniffa M, Benaroch P, Schlitzer A, Schultze JL, Newell EW, Ginhoux F.

Specification of tissue-resident macrophages during organogenesis

Mass E, Ballesteros I, Farlik M, Halbritter F, Günther P, Crozet L, Jacome-Galarza CE, Händler K, Klughammer J, Kobayashi Y, Gomez-Perdiguero E, Schultze JL, Beyer M, Bock C, Geissmann F.

Immunological characteristics of bronchoalveolar lavage fluid and blood across connective tissue disease-associated interstitial lung diseases

Aiko Hirano, Aki Sakashita, Wataru Fujii, Kevin Baßler, Taisuke Tsuji, Masatoshi Kadoya, Atsushi Omoto, Noriya Hiraoka et al. (2024)

Suppressive Myeloid Cells Are a Hallmark of Severe COVID-19

Schulte-Schrepping, Jonas, Nico Reusch, Daniela Paclik, Kevin Baßler, Stephan Schlickeiser, Bowen Zhang, Benjamin Krämer, et al. 2020.

Alterations of Multiple Alveolar Macrophage States in Chronic Obstructive Pulmonary Disease

Kevin Baßler, Wataru Fujii, Theodore S. Kapellos, Arik Horne, Benedikt Reiz, Erika Dudkin, Malte Lücken, et al. 2020.

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Stefanie Warnat-Herresthal, Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Günther, et al. 2020.

A rule-based data-informed cellular consensus map of the human mononuclear phagocyte cell space

Patrick Günther, Branko Cirovic, Kevin Baßler, Kristian Händler, Matthias Becker, et al. 2019.

Aging Induces an Nlrp3 Inflammasome-Dependent Expansion of Adipose B Cells That Impairs Metabolic Homeostasis.

Camell CD, Günther P, Lee A, Goldberg EL, Spadaro O, Youm YH, Bartke A, Hubbard GB, Ikeno Y, Ruddle NH, Schultze J, Dixit VD.

Memory-Driven Computing Accelerates Genomic Data Processing

Matthias Becker, Milind Chabbi, Stefanie Warnat-Herresthal, Kathrin Klee, Jonas Schulte-Schrepping, Pawel Biernat, Patrick Günther, Kevin Baßler, et al. 2019.

Western Diet Triggers NLRP3-Dependent Innate Immune Reprogramming

Christ A, Günther P, Lauterbach MAR, Duewell P, Biswas D, Pelka K, Scholz CJ, Oosting M, Haendler K, Baßler K, Klee K, Schulte-Schrepping J, Ulas T, Moorlag SJCFM, Kumar V, Park MH, Joosten LAB, Groh LA, Riksen NP, Espevik T, Schlitzer A, Li Y, Fitzgerald ML, Netea MG, Schultze JL, Latz E.

Mapping the human DC lineage through the integration of high-dimensional techniques

See P, Dutertre CA, Chen J, Günther P, McGovern N, Irac SE, Gunawan M, Beyer M, Händler K, Duan K, Sumatoh HRB, Ruffin N, Jouve M, Gea-Mallorquí E, Hennekam RCM, Lim T, Yip CC, Wen M, Malleret B, Low I, Shadan NB, Fen CFS, Tay A, Lum J, Zolezzi F, Larbi A, Poidinger M, Chan JKY, Chen Q, Rénia L, Haniffa M, Benaroch P, Schlitzer A, Schultze JL, Newell EW, Ginhoux F.

Specification of tissue-resident macrophages during organogenesis

Mass E, Ballesteros I, Farlik M, Halbritter F, Günther P, Crozet L, Jacome-Galarza CE, Händler K, Klughammer J, Kobayashi Y, Gomez-Perdiguero E, Schultze JL, Beyer M, Bock C, Geissmann F.
Various publications demonstrate our expertise

We understand your needs

The founders of aimed analytics have contributed to numerous studies and articles through their analyses and biomedical knowledge.

All publications

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