| Year |
Citation |
Score |
| 2024 |
Lu J, Rincon N, Wood DE, Breitwieser FP, Pockrandt C, Langmead B, Salzberg SL, Steinegger M. Author Correction: Metagenome analysis using the Kraken software suite. Nature Protocols. PMID 39210095 DOI: 10.1038/s41596-024-01064-1 |
0.552 |
|
| 2023 |
Varabyou A, Sommer MJ, Erdogdu B, Shinder I, Minkin I, Chao KH, Park S, Heinz J, Pockrandt C, Shumate A, Rincon N, Puiu D, Steinegger M, Salzberg SL, Pertea M. CHESS 3: an improved, comprehensive catalog of human genes and transcripts based on large-scale expression data, phylogenetic analysis, and protein structure. Genome Biology. 24: 249. PMID 37904256 DOI: 10.1186/s13059-023-03088-4 |
0.639 |
|
| 2022 |
Sommer MJ, Cha S, Varabyou A, Rincon N, Park S, Minkin I, Pertea M, Steinegger M, Salzberg SL. Structure-guided isoform identification for the human transcriptome. Elife. 11. PMID 36519529 DOI: 10.7554/eLife.82556 |
0.647 |
|
| 2022 |
Schütze K, Heinzinger M, Steinegger M, Rost B. Nearest neighbor search on embeddings rapidly identifies distant protein relations. Frontiers in Bioinformatics. 2: 1033775. PMID 36466147 DOI: 10.3389/fbinf.2022.1033775 |
0.303 |
|
| 2022 |
Varadi M, Nair S, Sillitoe I, Tauriello G, Anyango S, Bienert S, Borges C, Deshpande M, Green T, Hassabis D, Hatos A, Hegedus T, Hekkelman ML, Joosten R, Jumper J, ... ... Steinegger M, et al. 3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources. Gigascience. 11. PMID 36448847 DOI: 10.1093/gigascience/giac118 |
0.492 |
|
| 2022 |
Lu J, Rincon N, Wood DE, Breitwieser FP, Pockrandt C, Langmead B, Salzberg SL, Steinegger M. Metagenome analysis using the Kraken software suite. Nature Protocols. PMID 36171387 DOI: 10.1038/s41596-022-00738-y |
0.567 |
|
| 2021 |
Pockrandt C, Steinegger M, Salzberg SL. PhyloCSF ++: A fast and user-friendly implementation of PhyloCSF with annotation tools. Bioinformatics (Oxford, England). PMID 34734986 DOI: 10.1093/bioinformatics/btab756 |
0.569 |
|
| 2020 |
Gabler F, Nam SZ, Till S, Mirdita M, Steinegger M, Söding J, Lupas AN, Alva V. Protein Sequence Analysis Using the MPI Bioinformatics Toolkit. Current Protocols in Bioinformatics. 72: e108. PMID 33315308 DOI: 10.1002/cpbi.108 |
0.42 |
|
| 2020 |
Steinegger M, Salzberg SL. Terminating contamination: large-scale search identifies more than 2,000,000 contaminated entries in GenBank. Genome Biology. 21: 115. PMID 32398145 DOI: 10.1186/S13059-020-02023-1 |
0.613 |
|
| 2020 |
Steinegger M, Seidel A, Söding J. Protein-guided nucleotide viral genome assembly for huge metagenomic datasets F1000research. 9. DOI: 10.7490/F1000Research.1118321.1 |
0.354 |
|
| 2019 |
Steinegger M, Meier M, Mirdita M, Vöhringer H, Haunsberger SJ, Söding J. HH-suite3 for fast remote homology detection and deep protein annotation. Bmc Bioinformatics. 20: 473. PMID 31521110 DOI: 10.1186/S12859-019-3019-7 |
0.458 |
|
| 2019 |
Steinegger M, Mirdita M, Söding J. Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold. Nature Methods. 16: 603-606. PMID 31235882 DOI: 10.1038/S41592-019-0437-4 |
0.408 |
|
| 2019 |
Mirdita M, Steinegger M, Söding J. MMseqs2 desktop and local web server app for fast, interactive sequence searches. Bioinformatics (Oxford, England). PMID 30615063 DOI: 10.1093/Bioinformatics/Bty1057 |
0.409 |
|
| 2019 |
Steinegger M, Mirdita M, Söding J. New algorithms and tools for large-scale sequence analysis of metagenomic data F1000research. 8. DOI: 10.7490/F1000Research.1117602.1 |
0.39 |
|
| 2018 |
Steinegger M, Söding J. Clustering huge protein sequence sets in linear time. Nature Communications. 9: 2542. PMID 29959318 DOI: 10.1038/S41467-018-04964-5 |
0.349 |
|
| 2018 |
Mahlich Y, Steinegger M, Rost B, Bromberg Y. HFSP: high speed homology-driven function annotation of proteins. Bioinformatics (Oxford, England). 34: i304-i312. PMID 29950013 DOI: 10.1093/bioinformatics/bty262 |
0.315 |
|
| 2017 |
Steinegger M, Söding J. MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets. Nature Biotechnology. 35: 1026-1028. PMID 29035372 DOI: 10.1038/Nbt.3988 |
0.45 |
|
| 2016 |
Mirdita M, von den Driesch L, Galiez C, Martin MJ, Söding J, Steinegger M. Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Research. PMID 27899574 DOI: 10.1093/Nar/Gkw1081 |
0.428 |
|
| 2016 |
Hauser M, Steinegger M, Söding J. MMseqs software suite for fast and deep clustering and searching of large protein sequence sets. Bioinformatics (Oxford, England). 32: 1323-30. PMID 26743509 DOI: 10.1093/Bioinformatics/Btw006 |
0.455 |
|
| 2013 |
Kaján L, Yachdav G, Vicedo E, Steinegger M, Mirdita M, Angermüller C, Böhm A, Domke S, Ertl J, Mertes C, Reisinger E, Staniewski C, Rost B. Cloud prediction of protein structure and function with PredictProtein for Debian. Biomed Research International. 2013: 398968. PMID 23971032 DOI: 10.1155/2013/398968 |
0.378 |
|
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