A new multi-disciplinary, gold #OA journal from @CellPressNews publishing cutting-edge methodological advances.
Joined November 2020
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Delighted to share the latest issue of Cell Reports Methods: dlvr.it/TV9Kh5
Attending #ASGCT2026 in Boston next week?
Kusumika Mukherjee (Senior scientific editor @CellRepMethods) will be there and would love to chat with you about your research. DM her to arrange a meeting.
Join our editor Dr. Kusamika Mukherjee at @KeystoneSymp's, Precision Genome Engineering: From Basic Mechanisms to Application. The poster abstract and early registration deadlines are still open! Register today: hubs.li/Q03Y-9hM0 #KSGenomeEng26
Join our Editor-in-chief Dr. Ruth Zearfoss at @KeystoneSymp's, Antibodies as Drugs: Engineering and Computational Tools Enabling Clinical Advances. The poster abstract deadline is January 8, 2026! Register today: hubs.li/Q03YbZv80 #KSAbDrugs26
Gain new insights into therapeutic screening from invited speaker Xiling Shen (@TerasakiInst @MDAndersonNews) @CellSymposia #CSStemCells2025. Early registration discount extended until October 3, 2025! Register here: hubs.li/Q03J6vvF0
California students & postdocs: Use code CASTUDENTS or CAPOSTDOCS during regitration and pay $500/$555 to attend @CellSymposia #CSPrecisionGen25 and discover emerging themes in precision genomics for human health.
hubs.li/Q03HKvy20
Hear @EimearEKenny share her work “From categories to context: Rethinking ancestry for precision medicine” @CellSymposia #CSPrecisionGen25, Sept 17–19, 2025 San Diego, CA.
🔗Register here: hubs.li/Q03GY6480
📢 Last chance to register for @CellSymposia #CSPrecisionGen25!
Get feedback on your abstracts & cover letters from Cell Press editors & connect with speakers over dinner at the “Meet the Speakers” event.
hubs.li/Q03GwQvM0
Excited to hear @uarizona’s @DavidEnard share insights on “The genetic legacy of ancient viral epidemics in human host genomes” @CellSymposia #CSPrecisionGen25. Don’t miss it—register today!
🔗hubs.li/Q03FQkkZ0
Genetic analyses of eight complex diseases using predicted continuous representations of disease dlvr.it/TM6v0l