The following articles were published in Nature Methods in 2015 in anti-chronological order. Application notes, brief communications, and alike are mostly excluded.
- Walzthoeni, Thomas, et al. “xTract: software for characterizing conformational changes of protein complexes by quantitative cross-linking mass spectrometry.” Nature methods 12.12 (2015): 1185-1190.
- Rubin-Delanchy, Patrick, et al. “Bayesian cluster identification in single-molecule localization microscopy data.” Nature methods (2015).
- Levet, Florian, et al. “SR-Tesseler: a method to segment and quantify localization-based super-resolution microscopy data.” Nature methods 12.11 (2015): 1065-1071.
- Schmid-Burgk, Jonathan L., and Veit Hornung. “BrowserGenome. org: web-based RNA-seq data analysis and visualization.” Nature methods 12.11 (2015): 1001-1001.
- Zhou, Wanding, et al. “TransVar: a multilevel variant annotator for precision genomics.” Nature methods 12.11 (2015): 1002-1003.
- Wiwie, Christian, Jan Baumbach, and Richard Röttger. “Comparing the performance of biomedical clustering methods.” Nature methods 12.11 (2015): 1033-1038.
- Noble, William Stafford. “Mass spectrometrists should search only for peptides they care about.”Nature Methods 12.7 (2015): 605-608.
- Ewing, Adam D., et al. “Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.”Nature methods (2015).
- Potrzebowski, Wojciech, and Ingemar André. “Automated determination of fibrillar structures by simultaneous model building and fiber diffraction refinement.” Nature methods (2015).
- Zhang, Qing, and Xinshu Xiao. “Genome sequence-independent identification of RNA editing sites.” Nature methods 12.4 (2015): 347-350.
- Jain, Miten, et al. “Improved data analysis for the MinION nanopore sequencer.” Nature methods(2015).
- Kim, Daehwan, Ben Langmead, and Steven L. Salzberg. “HISAT: a fast spliced aligner with low memory requirements.” Nature methods 12.4 (2015): 357-360.
- Viner, Coby, and Michael M. Hoffman. “Determining the epigenome using DNA alone.”Nature methods 12.3 (2015): 191-192.
A computational method predicts epigenomic marks and DNA methylation patterns from DNA sequence. - Hart, Yuval, et al. “Inferring biological tasks using Pareto analysis of high-dimensional data.” Nature methods 12.3 (2015): 233-235.
- Tsou, Chih-Chiang, et al. “DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.” Nature methods 12.3 (2015): 258-264.
- Whitaker, John W., Zhao Chen, and Wei Wang. “Predicting the human epigenome from DNA motifs.” Nature methods 12.3 (2015): 265-272.
- Huber, Wolfgang, et al. “Orchestrating high-throughput genomic analysis with Bioconductor.”Nature methods 12.2 (2015): 115-121.
- Taşan, Murat, et al. “Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.” Nature methods 12.2 (2015): 154-159.
- Johnson, Graham T., et al. “cellPACK: a virtual mesoscope to model and visualize structural systems biology.” Nature methods 12.1 (2015): 85-91.