user: What are 3 popular movies with Adam Sandler?

assistant: The following are 3 popular movies with Adam Sandler:
1. Big Daddy
2. Billy Madison
3. The Waterboy

user: Given these paragraphs about Multiomics, what is single-cell multiomics?

assistant: <think>
Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data sets are multiple "omes", such as the genome, proteome, transcriptome, epigenome, metabolome, and microbiome (i.e., a meta-genome and/or meta-transcriptome, depending upon how it is sequenced); in other words, the use of multiple omics technologies to study life in a concerted way. By combining these "omes", scientists can analyze complex biological big data to find novel associations between biological entities, pinpoint relevant biomarkers and build elaborate markers of disease and physiology. In doing so, multiomics integrates diverse omics data to find a coherently matching geno-pheno-envirotype relationship or association. The OmicTools service lists more than 99 softwares related to multiomic data analysis, as well as more than 99 databases on the topic.

Systems biology approaches are often based upon the use of panomic analysis data. The American Society of Clinical Oncology (ASCO) defines panomics as referring to "the interaction of all biological functions within a cell and with other body functions, combining data collected by targeted tests ... and global assays (such as genome sequencing) with other patient-specific information."

Single-cell multiomics
A branch of the field of multiomics is the analysis of multilevel single-cell data, called single-cell multiomics. This approach gives us an unprecedent resolution to look at multilevel transitions in health and disease at the single cell level. An advantage in relation to bulk analysis is to mitigate confounding factors derived from cell to cell variation, allowing the uncovering of heterogeneous tissue architectures.

Methods for parallel single-cell genomic and transcriptomic analysis can be based on simultaneous amplification or physical separation of RNA and genomic DNA. They allow insights that cannot be gathered solely from transcriptomic analysis, as RNA data do not contain non-coding genomic regions and information regarding copy-number variation, for example. An extension of this methodology is the integration of single-cell transcriptomes to single-cell methylomes, combining single-cell bisulfite sequencing to single cell RNA-Seq. Other techniques to query the epigenome, as single-cell ATAC-Seq and single-cell Hi-C also exist.

A different, but related, challenge is the integration of proteomic and transcriptomic data. One approach to perform such measurement is to physically separate single-cell lysates in two, processing half for RNA, and half for proteins. The protein content of lysates can be measured by proximity extension assays (PEA), for example, which use DNA-barcoded antibodies. A different approach uses a combination of heavy-metal RNA probes and protein antibodies to adapt mass cytometry for multiomic analysis.

Multiomics and machine learning
In parallel to the advances in highthroughput biology, machine learning applications to biomedical data analysis are flourishing. The integration of multi-omics data analysis and machine learning has led to the discovery of new biomarkers. For example, one of the methods of the mixOmics project implements a method based on sparse Partial Least Squares regression for selection of features (putative biomarkers).


https://en.wikipedia.org/wiki/Multiomics</think>
The analysis of multilevel single-cell data. This approach gives us an unprecedent resolution to look at multilevel transitions in health and disease at the single cell level.

user: Given this paragraph about ESPN's SportsCenter in 2009, in what west coast city did ESPN begin producing it's 1:00 a.m. Eastern Time edition of SportsCenter?

assistant: <think>
On April 6, 2009 (starting with the 9:00 a.m. to 12:00 p.m. Eastern Time edition, which was anchored by Hannah Storm and Sage Steele), SportsCenter debuted a new graphics package that saw the "rundown" graphic – shown during the daytime editions – being shifted to the left side of the screen. On that same date, SportsCenter began producing its 1:00 a.m. Eastern Time edition of SportsCenter live from ESPN's production facilities in the newly constructed L.A. Live complex (just across from the Staples Center) in Los Angeles. The set is virtually identical to the setup at the main facilities in Bristol, and the late-night West Coast broadcast would be produced as simply another edition of the program. Neil Everett and Stan Verrett were appointed as the primary anchors for the Los Angeles-based editions of SportsCenter. A new BottomLine ticker was also unveiled that day on four of the five ESPN networks (ESPN, ESPN2, ESPN Classic and ESPNU); the redesigned ticker was quickly dropped, reverting to the old BottomLine design – which had been in use since April 2003 – due to an equipment failure (however, this ticker was operational for the 2009 NFL Draft and the 2009 NBA draft). After technical issues with the revamped BottomLine were fixed, the new BottomLine was reinstated on July 8.</think>
Los Angeles is the west coast city that ESPN began producing it's 1:00 a.m. Eastern Time edition of SportsCenter.