First Day with GPT4 Online: Searching Articles in Cancer w SCHOLAR AI Plug In

 First, a search with the ordinary 2021 and 3.5 versions.   Then, a search with GPT4 + Internet.

OLD:

What are the most important recent papers 12 months) in cancer genetics

ChatGPT

As an AI language model, my responses are based on the information available up until my last knowledge update in September 2021. Therefore, I cannot provide you with the most recent papers from the last 12 months in cancer genetics. However, I can provide you with some significant papers published in the field up until September 2021. Please note that there may have been new developments in cancer genetics since then. It's always a good idea to consult recent literature databases and journals to find the most up-to-date papers. Here are some notable papers published prior to September 2021:

"Pan-cancer analysis of whole genomes" by Campbell et al. (Nature, 2020): This study analyzed the whole-genome sequences of over 2,600 tumors across various cancer types, providing a comprehensive overview of the genomic landscape of cancer and identifying new mutational signatures.

"The evolutionary history of 2,658 cancers" by Martincorena et al. (Nature, 2020): This paper examined the evolutionary history of multiple cancer types, revealing insights into mutational processes, clonal expansion, and the timing of driver events during tumor development.

"The landscape of somatic copy-number alteration across human cancers" by Zack et al. (Nature, 2013): Although published prior to the last 12 months, this paper provides a valuable resource for understanding copy-number alterations in cancer, highlighting their role in tumor progression and potential therapeutic implications.

"Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal" by Cerami et al. (Science Signaling, 2012): While not a recent publication, this paper presents the cBioPortal, a widely used resource for exploring cancer genomics data. The cBioPortal enables researchers to access and analyze large-scale cancer genomics datasets, facilitating the identification of potential biomarkers and therapeutic targets.

"The Cancer Genome Atlas: Comprehensive molecular portraits of human cancers" by The Cancer Genome Atlas Network (Nature, 2013): Although published earlier, this landmark study provided a comprehensive molecular characterization of several cancer types, encompassing genomic, transcriptomic, and epigenomic data. The study shed light on the molecular heterogeneity of tumors and offered insights into potential therapeutic targets.

These are just a few examples, and there may have been significant advancements and breakthroughs in cancer genetics since my last update. To access the most current and cutting-edge research, I recommend searching scientific databases like PubMed or consulting reputable cancer genetics journals.

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This used not onlyl internet but the SCHOLAR AI plug in too.    It inclued some figures at the bottom which I had never seen til now in GPT4.

What are the most important recent papers 12 months) in cancer genetics

ChatGPT

Used ScholarAI

Here are some of the most recent and important papers in cancer genetics:

COSMIC: somatic cancer genetics at high-resolution by Simon A. Forbes et al. This paper discusses the Catalogue of Somatic Mutations in Cancer (COSMIC), a high-resolution resource for exploring targets and trends in the genetics of human cancer. You can access the full paper here.

Cancer Genetics and Epigenetics: Two Sides of the Same Coin? by Jueng Soo You and Peter B. Jones. This paper discusses the interplay between genetic and epigenetic alterations in carcinogenesis. The full paper is available here.

Junk DNA and the long non-coding RNA twist in cancer genetics by Hui Ling et al. This paper discusses the role of long non-coding RNAs (lncRNAs) in cancer genetics. You can read the full paper here.

Breast cancer genetics in African Americans by Olufunmilayo I. Olopade et al. This paper discusses the unique mutations and genetic risks of breast and ovarian cancer in African-American and African families.

shRNA libraries and their use in cancer genetics by René Bernards et al. This paper discusses the construction of short-hairpin RNA (shRNA) vector libraries and their application in mammalian cancer genetics. The full paper is available here.

Would you like more details on any of these papers?