Milad Miladi
Milad Miladi
BioNTech | University of Freiburg | EMBL
Verified email at - Homepage
Cited by
Cited by
Bioconda: sustainable and comprehensive software distribution for the life sciences
B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ...
Nature methods 15 (7), 475, 2018
A pan-cancer analysis of synonymous mutations
Y Sharma, M Miladi, S Dukare, K Boulay, M Caudron-Herger, M Groß, ...
Nature communications 10 (1), 1-14, 2019
Freiburg RNA tools: a central online resource for RNA-focused research and teaching
M Raden, SM Ali, OS Alkhnbashi, A Busch, F Costa, JA Davis, ...
Nucleic acids research 46 (W1), W25-W29, 2018
SPARSE: quadratic time simultaneous alignment and folding of RNAs without sequence-based heuristics
S Will, C Otto, M Miladi, M Möhl, R Backofen
Bioinformatics 31 (15), 2489-2496, 2015
Bioconda: Sustainable and comprehensive software distribution for the life sciences
R Dale, B Grüning, A Sjödin, J Rowe, BA Chapman, CH Tomkins-Tinch, ...
Nature Methods 15 (7), 475-476, 2018
RNAscClust : clustering RNA sequences using structure conservation and graph based motifs
M Miladi, A Junge, F Costa, SE Seemann, JH Havgaard, J Gorodkin, ...
Bioinformatics 33 (14), 2089-2096, 2017
MutaRNA: analysis and visualization of mutation-induced changes in RNA structure
M Miladi, M Raden, S Diederichs, R Backofen
Nucleic acids research 48 (W1), W287-W291, 2020
NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy
W de Koning, M Miladi, S Hiltemann, A Heikema, JP Hays, S Flemming, ...
GigaScience 9 (10), giaa105, 2020
Integration of accessibility data from structure probing into RNA-RNA interaction prediction
M Miladi, S Montaseri, R Backofen, M Raden
Bioinformatics, 2018
The landscape of SARS-CoV-2 RNA modifications
M Miladi, J Fuchs, W Maier, S Weigang, ND i Pedrosa, L Weiss, A Lother, ...
Biorxiv, 2020
GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering
M Miladi, E Sokhoyan, T Houwaart, S Heyne, F Costa, B Grüning, ...
GigaScience 8 (12), giz150, 2019
ShaKer: RNA SHAPE prediction using graph kernel
S Mautner, S Montaseri, M Miladi, M Raden, F Costa, R Backofen
Bioinformatics, 2019
Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
W Maier, S Bray, M van den Beek, D Bouvier, N Coraor, M Miladi, B Singh, ...
bioRxiv, 2021
Ready-to-use public infrastructure for global SARS-CoV-2 monitoring
W Maier, S Bray, M van den Beek, D Bouvier, N Coraor, M Miladi, B Singh, ...
Nature Biotechnology 39 (10), 1178-1179, 2021
Fast and Accurate Structure Probability Estimation for Simultaneous Alignment and Folding of RNAs
M Miladi, M Raden, S Will, R Backofen
19th International Workshop on Algorithms in Bioinformatics (WABI 2019), 2019
Fast and accurate structure probability estimation for simultaneous alignment and folding of RNAs with Markov chains
M Miladi, M Raden, S Will, R Backofen
Algorithms for Molecular Biology 15 (1), 1-11, 2020
MicroRNA-100-5p and microRNA-298-5p released from apoptotic cortical neurons are endogenous Toll-like receptor 7/8 ligands that contribute to neurodegeneration
T Wallach, ZJ Mossmann, M Szczepek, M Wetzel, R Machado, M Raden, ...
Molecular neurodegeneration 16 (1), 1-24, 2021
Structure-aware machine learning identifies microRNAs operating as Toll-like receptor 7/8 ligands
M Raden, T Wallach, M Miladi, Y Zhai, C Krüger, ZJ Mossmann, ...
RNA biology 18 (sup1), 268-277, 2021
The locality dilemma of Sankoff-like RNA alignments
T Müller, M Miladi, F Hutter, I Hofacker, S Will, R Backofen
Bioinformatics 36, i242-i250, 2020
Computational Analysis and Annotation of Structurally Functional RNAs
M Miladi
Universität Freiburg, 2020
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