Automated Author ProfileFink, Marc
Fink, Marc
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.3 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
CLPB-NADSYN1 gene fusion in patient P0002. a Long-range PCR confirms CLPB-NADSYN1 gene fusion. b Genomic breakpoint of CLPB-NADSYN1 gene fusion. (ZIP 150 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
Supplementary Tables: Tables S1-S11. See Additional file 2 for detailed table legends. (XLSX 144 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
Comparison of somatic CNA segment properties (number and length) between joint segmentation calls by saasCNV ( https://zhangz05.u.hpc.mssm.edu/saasCNV ) from WES data versus array data. Only samples where both assays were run on same DNA extraction are shown. All segments are shown, including those classified as “normal” (no CNA) and “undecided” (unclear CNA change). Patient P0040 is shown twice, once for each of the two tumors assayed, though in both cases the same normal control data is used. “FFPE” and “frozen” in all plots refers to tissue source of tumor DNA. a Correlation of total segment number per tumor between WES and array assays. b Violin plot comparing the distribution of segment lengths between WES and array assays for each tumor. Boxplot within each violin plot shows median, 25th, and 75th quantiles. (ZIP 229 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
A gzipped tarball (.tgz file) of VCF files containing somatic mutations (i.e. present exclusively in tumor) for the 25 patients (one VCF file per patient) on whom paired normal/tumor WES was carried out and whose consents permitted public release of the full variant call data. For patients where multiple assays were carried out (WGS, WES, targeted panel, PacBio validation for troubleshooting), the VCF file contains the final variant call set where any discordance amongst the assays was resolved. Only mutations altering amino acid sequence (missense, nonsense, canonical splice site, indel) in a canonical isoform of a gene are given. Mutations are included that are not explicitly reported in returned findings due to lack of known relevance to cancer. Mutations rejected during our manual review protocol are not included. Thus, VCFs may contain mutations that were not manually reviewed. Three patients (P0009, P0025, and P0040) have two tumor specimens available, therefore those VCFs are multi-sample and report which mutations are recurrent among tumors and which are not; the rest are single-sample. (ZIP 37 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
A gzipped tarball (.tgz file) of VCF files containing somatic mutations (i.e. present exclusively in tumor) for the 25 patients (one VCF file per patient) on whom paired normal/tumor WES was carried out and whose consents permitted public release of the full variant call data. For patients where multiple assays were carried out (WGS, WES, targeted panel, PacBio validation for troubleshooting), the VCF file contains the final variant call set where any discordance amongst the assays was resolved. Only mutations altering amino acid sequence (missense, nonsense, canonical splice site, indel) in a canonical isoform of a gene are given. Mutations are included that are not explicitly reported in returned findings due to lack of known relevance to cancer. Mutations rejected during our manual review protocol are not included. Thus, VCFs may contain mutations that were not manually reviewed. Three patients (P0009, P0025, and P0040) have two tumor specimens available, therefore those VCFs are multi-sample and report which mutations are recurrent among tumors and which are not; the rest are single-sample. (ZIP 37 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
Comparison of somatic CNA segment properties (number and length) between joint segmentation calls by saasCNV ( https://zhangz05.u.hpc.mssm.edu/saasCNV ) from WES data versus array data. Only samples where both assays were run on same DNA extraction are shown. All segments are shown, including those classified as “normal” (no CNA) and “undecided” (unclear CNA change). Patient P0040 is shown twice, once for each of the two tumors assayed, though in both cases the same normal control data is used. “FFPE” and “frozen” in all plots refers to tissue source of tumor DNA. a Correlation of total segment number per tumor between WES and array assays. b Violin plot comparing the distribution of segment lengths between WES and array assays for each tumor. Boxplot within each violin plot shows median, 25th, and 75th quantiles. (ZIP 229 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
Supplementary Tables: Tables S1-S11. See Additional file 2 for detailed table legends. (XLSX 144 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong
CLPB-NADSYN1 gene fusion in patient P0002. a Long-range PCR confirms CLPB-NADSYN1 gene fusion. b Genomic breakpoint of CLPB-NADSYN1 gene fusion. (ZIP 150 kb)
Authors
- Uzilov, Andrew ;
- Ding, Wei ;
- Fink, Marc ;
- Antipin, Yevgeniy ;
- Brohl, Andrew ;
- Davis, Claire ;
- Lau, Chun ;
- Chetanya Pandya ;
- Hardik Shah ;
- Kasai, Yumi ;
- Powell, James ;
- Micchelli, Mark ;
- Castellanos, Rafael ;
- Zhongyang Zhang ;
- Linderman, Michael ;
- Kinoshita, Yayoi ;
- Zweig, Micol ;
- Raustad, Katie ;
- Kakit Cheung ;
- Castillo, Diane ;
- Wooten, Melissa ;
- Bourzgui, Imane ;
- Newman, Leah ;
- Deikus, Gintaras ;
- Bino Mathew ;
- Zhu, Jun ;
- Glicksberg, Benjamin ;
- Aye Moe ;
- Liao, Jun ;
- Edelmann, Lisa ;
- Dudley, Joel ;
- Maki, Robert ;
- Kasarskis, Andrew ;
- Holcombe, Randall ;
- Milind Mahajan ;
- Hao, Ke ;
- Reva, Boris ;
- Longtine, Janina ;
- Starcevic, Daniela ;
- Sebra, Robert ;
- Donovan, Michael ;
- Shuyu Li ;
- Schadt, Eric ;
- Chen, Rong