Author

Koray Kırlı

Harvard UniversityORCID 0000-0002-2289-0652Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:software / tool· 2 Research Focus:database / resource· 1 Assay:Hi-C· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

B. AlveriD· 3 shared Peter J. ParkiD· 3 shared Alexander K. Balashov· 2 shared Andrea CosoloiD· 2 shared Carl M. VitzthumiD· 2 shared Jeremy JohnsoniD· 2 shared Serkan Utku ÖztürkiD· 2 shared Shannon R. Ehmsen· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersBioinformatics

B. AlverORCID

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3 papers

Recent·Most cited

The 4D Nucleome Data Portal: a resource for searching and visualizing curated nucleomics data

Sarah B. Reiff, Andrew J. Schroeder, Koray Kırlı, Andrea Cosolo, Clara Bakker, Luisa Mercado, Soohyun Lee, Alexander D. Veit, Alexander K. Balashov, Carl M. Vitzthum, William Ronchetti, Kent M. Pitman, Jeremy Johnson, Shannon R. Ehmsen, Peter Kerpedjiev, , Peter J. Park

The paper introduces the 4DN Data Portal, a resource for searching and visualizing curated nucleomics data, including Hi-C and other chromosome architecture datasets.

Nature Communications · May 2, 2022Peer-reviewedGenomics

Micro-Meta App: an interactive software tool to facilitate the collection of microscopy metadata based on community-driven specifications

Alex Rigano, Shannon R. Ehmsen, Serkan Utku Öztürk, Joël Ryan, Alexander K. Balashov, Mathias Hammer, Koray Kırlı, Karl D. Bellve, Ulrike Boehm, Claire M. Brown, James J. Chambers, Robert A. Coleman, Andrea Cosolo, Orestis Faklaris, Kevin E. Fogarty, , Caterina Strambio‐De‐Castillia

Micro-Meta App is an open-source tool that helps collect and organize microscopy metadata according to community standards, improving reproducibility and data sharing.

bioRxiv · May 31, 2021 · PreprintBioinformatics

Tibanna: software for scalable execution of portable pipelines on the cloud

Soohyun Lee, Jeremy Johnson, Carl M. Vitzthum, Koray Kırlı, B. Alver, Peter J. Park

Tibanna automates bioinformatics pipeline execution on AWS using CWL, WDL, and Docker, supporting large-scale and variable computational needs.

Bioinformatics · Apr 30, 2019Peer-reviewedBioinformatics