shinyheatmap: Ultra fast low memory heatmap web interface for big data genomics

• Published in: PloS one Vol. 12; no. 5; p. e0176334
• Main Authors: Khomtchouk, Bohdan B., Hennessy, James R., Wahlestedt, Claes
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 11.05.2017; Public Library of Science (PLoS)
• Subjects: Algorithms; Analysis; Analytics; Behavioral sciences; Benchmarks; Big Data; Bioinformatics; Biology and Life Sciences; Charts; Clustering; Cohesion; Computer and Information Sciences; Computer applications; Computer memory; Computer programming; Computer programs; Constrictions; Data analysis; Data processing; Datasets; DNA microarrays; Engineering; Engineering and Technology; Exons; Gene Expression; Gene Expression Profiling - methods; Gene mapping; Genes; Genetics; Genomic analysis; Genomics; Heat; Humans; Information systems; Internet; Knowledge representation; Language; Mathematical analysis; Mathematical models; Matrices (mathematics); Medicine; Network analysis; Nodes; Nucleic acids; Panning; Physical Sciences; Plotting; Principal components analysis; Psychiatry; Research and Analysis Methods; Ribonucleic acid; RNA; Scaling; Software; Statistical analysis; Statistics; Studies; Territory; Transcription; Web browsers; United States; United States > US

Transcriptomics, metabolomics, metagenomics, and other various next-generation sequencing (-omics) fields are known for their production of large datasets, especially across single-cell sequencing studies. Visualizing such big data has posed technical challenges in biology, both in terms of availabl...