6.
Gratton J, Phetcharaburanin J, Mullish B, Williams H, Thursz M, Nicholson J
. Optimized Sample Handling Strategy for Metabolic Profiling of Human Feces. Anal Chem. 2016; 88(9):4661-8.
DOI: 10.1021/acs.analchem.5b04159.
View
7.
Tedersoo L, Albertsen M, Anslan S, Callahan B
. Perspectives and Benefits of High-Throughput Long-Read Sequencing in Microbial Ecology. Appl Environ Microbiol. 2021; 87(17):e0062621.
PMC: 8357291.
DOI: 10.1128/AEM.00626-21.
View
8.
Shahjaman M, Rahman M, Islam T, Auwul M, Moni M, Haque Mollah M
. rMisbeta: A robust missing value imputation approach in transcriptomics and metabolomics data. Comput Biol Med. 2021; 138:104911.
DOI: 10.1016/j.compbiomed.2021.104911.
View
9.
Kumar C, Mann M
. Bioinformatics analysis of mass spectrometry-based proteomics data sets. FEBS Lett. 2009; 583(11):1703-12.
DOI: 10.1016/j.febslet.2009.03.035.
View
10.
Byrne A, Cole C, Volden R, Vollmers C
. Realizing the potential of full-length transcriptome sequencing. Philos Trans R Soc Lond B Biol Sci. 2019; 374(1786):20190097.
PMC: 6792442.
DOI: 10.1098/rstb.2019.0097.
View
11.
Lin Z, Akin H, Rao R, Hie B, Zhu Z, Lu W
. Evolutionary-scale prediction of atomic-level protein structure with a language model. Science. 2023; 379(6637):1123-1130.
DOI: 10.1126/science.ade2574.
View
12.
Garali I, Adanyeguh I, Ichou F, Perlbarg V, Seyer A, Colsch B
. A strategy for multimodal data integration: application to biomarkers identification in spinocerebellar ataxia. Brief Bioinform. 2017; 19(6):1356-1369.
DOI: 10.1093/bib/bbx060.
View
13.
Li H, Durbin R
. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009; 25(14):1754-60.
PMC: 2705234.
DOI: 10.1093/bioinformatics/btp324.
View
14.
Dugourd A, Kuppe C, Sciacovelli M, Gjerga E, Gabor A, Emdal K
. Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses. Mol Syst Biol. 2021; 17(1):e9730.
PMC: 7838823.
DOI: 10.15252/msb.20209730.
View
15.
Feldner-Busztin D, Firbas Nisantzis P, Edmunds S, Boza G, Racimo F, Gopalakrishnan S
. Dealing with dimensionality: the application of machine learning to multi-omics data. Bioinformatics. 2023; 39(2).
PMC: 9907220.
DOI: 10.1093/bioinformatics/btad021.
View
16.
Aizpurua O, Dunn R, Hansen L, Gilbert M, Alberdi A
. Field and laboratory guidelines for reliable bioinformatic and statistical analysis of bacterial shotgun metagenomic data. Crit Rev Biotechnol. 2023; 44(6):1164-1182.
DOI: 10.1080/07388551.2023.2254933.
View
17.
Beghini F, McIver L, Blanco-Miguez A, Dubois L, Asnicar F, Maharjan S
. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3. Elife. 2021; 10.
PMC: 8096432.
DOI: 10.7554/eLife.65088.
View
18.
Oshlack A, Wakefield M
. Transcript length bias in RNA-seq data confounds systems biology. Biol Direct. 2009; 4:14.
PMC: 2678084.
DOI: 10.1186/1745-6150-4-14.
View
19.
Hamady M, Knight R
. Microbial community profiling for human microbiome projects: Tools, techniques, and challenges. Genome Res. 2009; 19(7):1141-52.
PMC: 3776646.
DOI: 10.1101/gr.085464.108.
View
20.
Legendre P, Gallagher E
. Ecologically meaningful transformations for ordination of species data. Oecologia. 2017; 129(2):271-280.
DOI: 10.1007/s004420100716.
View