user: What is the analysis of mutations in cancer, in genomics?

assistant: In cancer, the genomes of affected cells are rearranged in complex or even unpredictable ways. Massive sequencing efforts are used to identify previously unknown point mutations in a variety of genes in cancer. Bioinformaticians continue to produce specialized automated systems to manage the sheer volume of sequence data produced, and they create new algorithms and software to compare the sequencing results to the growing collection of human genome sequences and germline polymorphisms. New physical detection technologies are employed, such as oligonucleotide microarrays to identify chromosomal gains and losses (called comparative genomic hybridization), and single-nucleotide polymorphism arrays to detect known point mutations. These detection methods simultaneously measure several hundred thousand sites throughout the genome, and when used in high-throughput to measure thousands of samples, generate terabytes of data per experiment. Again the massive amounts and new types of data generate new opportunities for bioinformaticians. The data is often found to contain considerable variability, or noise, and thus Hidden Markov model and change-point analysis methods are being developed to infer real copy number changes.

Two important principles can be used in the analysis of cancer genomes bioinformatically pertaining to the identification of mutations in the exome. First, cancer is a disease of accumulated somatic mutations in genes. Second cancer contains driver mutations which need to be distinguished from passengers.

With the breakthroughs that this next-generation sequencing technology is providing to the field of Bioinformatics, cancer genomics could drastically change. These new methods and software allow bioinformaticians to sequence many cancer genomes quickly and affordably. This could create a more flexible process for classifying types of cancer by analysis of cancer driven mutations in the genome. Furthermore, tracking of patients while the disease progresses may be possible in the future with the sequence of cancer samples.

Another type of data that requires novel informatics development is the analysis of lesions found to be recurrent among many tumors.

user: Pick if these would be useful or not useful for a high school student to put in their backpack. Notebooks, textbook, desk lamp, pencil pouch, beach ball, pillow, laptop.

assistant: Notebooks: useful, textbook: useful, desk lamp: not useful, pencil pouch: useful, beach ball: not useful, pillow: not useful, laptop: useful.

user: What is the best way to respond to proposed edits in a contract?

assistant: First, ensure you understand the nature of the transaction, including the potential risks involved, the goals and objectives of the parties on both sides of the transaction. When responding, clearly identify which edits are acceptable and which edits are not. When edits are not acceptable or require modification, include clear comments outlining your position on why the change cannot be accepted as-is. It is recommended that you use a track changes or comment feature in document review and editing software when responding to clearly accept or reject changes with accompanying comments but you may also summarize your points in an email or other message if necessary.