Anne‐Katrin Emde

ORCID: 0000-0003-2553-2225
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Genomics and Phylogenetic Studies
  • Genomics and Rare Diseases
  • Genetic factors in colorectal cancer
  • RNA and protein synthesis mechanisms
  • Glioma Diagnosis and Treatment
  • Genetic Associations and Epidemiology
  • Protein Degradation and Inhibitors
  • Cancer-related gene regulation
  • Acute Myeloid Leukemia Research
  • Chromatin Remodeling and Cancer
  • Genomic variations and chromosomal abnormalities
  • Cancer, Hypoxia, and Metabolism
  • RNA modifications and cancer
  • Algorithms and Data Compression
  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • Protist diversity and phylogeny
  • Radiomics and Machine Learning in Medical Imaging
  • Mass Spectrometry Techniques and Applications
  • Gene expression and cancer classification
  • Genetics and Neurodevelopmental Disorders
  • Insect Resistance and Genetics
  • Cancer Research and Treatments
  • Cancer-related molecular mechanisms research

New York Genome Center
2014-2021

Columbia University Irving Medical Center
2017

Memorial Sloan Kettering Cancer Center
2017

IBM (United States)
2017

Howard Hughes Medical Institute
2017

IBM Research - Thomas J. Watson Research Center
2017

Freie Universität Berlin
2009-2014

Robert Koch Institute
2014

Max Planck Institute for Molecular Genetics
2009-2012

Carnegie Mellon University
2012

Daniel Taliun Daniel Harris Michael D. Kessler Jedidiah Carlson Zachary A. Szpiech and 95 more Raúl Torres Sarah A. Gagliano Taliun André Corvelo Stephanie M. Gogarten Hyun Min Kang Achilleas Pitsillides Jonathon LeFaive Seung‐been Lee Xiaowen Tian Brian L. Browning Sayantan Das Anne‐Katrin Emde Wayne E. Clarke Douglas P. Loesch Amol C. Shetty Thomas W. Blackwell Albert V. Smith Quenna Wong Xiaoming Liu Matthew P. Conomos Dean Bobo François Aguet Christine M. Albert Álvaro Alonso Kristin Ardlie Dan E. Arking Stella Aslibekyan Paul L. Auer John Barnard R. Graham Barr Lucas Barwick Lewis C. Becker Rebecca Beer Emelia J. Benjamin Lawrence F. Bielak John Blangero Michael Boehnke Donald W. Bowden Jennifer A. Brody Esteban G. Burchard Brian E. Cade James F. Casella Brandon Chalazan Daniel I. Chasman Yii‐Der Ida Chen Michael H. Cho Seung Hoan Choi Mina K. Chung Clary B. Clish Adolfo Correa Joanne E. Curran Brian Custer Dawood Darbar Michelle Daya Mariza de Andrade Dawn L. DeMeo Susan K. Dutcher Patrick T. Ellinor Leslie Emery Celeste Eng Diane Fatkin Tasha E. Fingerlin Lukas Forer Myriam Fornage Nora Franceschini Christian Fuchsberger Stephanie M. Fullerton Søren Germer Mark T. Gladwin Daniel J. Gottlieb Xiuqing Guo Michael E. Hall Jiang He Nancy L. Heard‐Costa Susan R. Heckbert Marguerite R. Irvin Jill M. Johnsen Andrew D. Johnson Robert C. Kaplan Sharon L. R. Kardia Tanika N. Kelly Shannon Kelly Eimear E. Kenny Douglas P. Kiel Robert Klemmer Barbara A. Konkle Charles Kooperberg Anna Köttgen Leslie A. Lange Jessica Lasky‐Su Daniel Levy Xihong Lin Keng‐Han Lin Chunyu Liu Ruth J. F. Loos

Abstract The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood sleep disorders, with ultimate goal improving diagnosis, treatment prevention these diseases. initial phases focused on whole-genome sequencing individuals rich phenotypic data diverse backgrounds. Here we describe TOPMed goals design as well available resources early insights obtained from sequence data. include a variant browser, genotype...

10.1038/s41586-021-03205-y article EN cc-by Nature 2021-02-10

Oncogenic Suspect Exposed It can be difficult logistically to study the genomics of rare variants common cancers. Nevertheless, Honeyman et al. (p. 1010 ) studied fibrolamellar hepatocellular carcinoma (FL-HCC), a and poorly understood liver tumor that affects adolescents young adults for which there is no effective treatment. FL-HCCs from 15 patients all expressed chimeric RNA transcript protein containing sequences molecular chaperone fused in frame with catalytic domain kinase A. The...

10.1126/science.1249484 article EN Science 2014-02-27

Colorectal cancer is the second leading cause of death in United States, with over 50,000 deaths estimated 2014. Molecular profiling for somatic mutations that predict absence response to anti-EGFR therapy has become standard practice treatment metastatic colorectal cancer; however, quantity and type tissue available testing frequently limited. Further, degree which primary tumor a faithful representation disease been questioned. As next-generation sequencing technology becomes more widely...

10.1186/s13059-014-0454-7 article EN cc-by Genome biology 2014-08-01
Daniel Taliun Daniel Harris Michael D. Kessler Jedidiah Carlson Zachary A. Szpiech and 95 more Raúl Torres Sarah A. Gagliano Taliun André Corvelo Stephanie M. Gogarten Hyun Min Kang Achilleas Pitsillides Jonathon LeFaive Seung‐been Lee Xiaowen Tian Brian L. Browning Sayantan Das Anne‐Katrin Emde Wayne E. Clarke Douglas P. Loesch Amol C. Shetty Thomas W. Blackwell Quenna Wong François Aguet Christine M. Albert Álvaro Alonso Kristin Ardlie Stella Aslibekyan Paul L. Auer John Barnard R. Graham Barr Lewis C. Becker Rebecca Beer Emelia J. Benjamin Lawrence F. Bielak John Blangero Michael Boehnke Donald W. Bowden Jennifer A. Brody Esteban G. Burchard Brian E. Cade James F. Casella Brandon Chalazan Yii‐Der Ida Chen Michael H. Cho Seung Hoan Choi Mina K. Chung Clary B. Clish Adolfo Correa Joanne E. Curran Brian Custer Dawood Darbar Michelle Daya Mariza de Andrade Dawn L. DeMeo Susan K. Dutcher Patrick T. Ellinor Leslie Emery Diane Fatkin Lukas Forer Myriam Fornage Nora Franceschini Christian Fuchsberger Stephanie M. Fullerton Søren Germer Mark T. Gladwin Daniel J. Gottlieb Xiuqing Guo Michael E. Hall Jiang He Nancy L. Heard‐Costa Susan R. Heckbert Marguerite R. Irvin Jill M. Johnsen Andrew D. Johnson Sharon L. R. Kardia Tanika N. Kelly Shannon Kelly Eimear E. Kenny Douglas P. Kiel Robert Klemmer Barbara A. Konkle Charles Kooperberg Anna Köttgen Leslie A. Lange Jessica Lasky‐Su Daniel Levy Xihong Lin Keng‐Han Lin Chunyu Liu Ruth J. F. Loos Lori Garman Robert E. Gerszten Steven A. Lubitz Kathryn L. Lunetta Angel C. Y. Mak Ani Manichaikul Alisa K. Manning Rasika A. Mathias David D. McManus Stephen T. McGarvey

Summary paragraph The Trans-Omics for Precision Medicine (TOPMed) program seeks to elucidate the genetic architecture and disease biology of heart, lung, blood, sleep disorders, with ultimate goal improving diagnosis, treatment, prevention. initial phases focus on whole genome sequencing individuals rich phenotypic data diverse backgrounds. Here, we describe TOPMed goals design as well resources early insights from sequence data. include a variant browser, genotype imputation panel, sharing...

10.1101/563866 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-03-06

Second-generation sequencing technologies deliver DNA sequence data at unprecedented high throughput. Common to most biological applications is a mapping of the reads an almost identical or highly similar reference genome. Due large amounts data, efficient algorithms and implementations are crucial for this task. We present read tool called RazerS. It allows user align arbitrary length using either Hamming distance edit distance. Our can work lossless with user-defined loss rate higher...

10.1101/gr.088823.108 article EN cc-by-nc Genome Research 2009-07-10

Reliable detection of somatic variations is critical importance in cancer research. Here we present Lancet, an accurate and sensitive variant caller, which detects SNVs indels by jointly analyzing reads from tumor matched normal samples using colored de Bruijn graphs. We demonstrate, through extensive experimental comparison on synthetic real whole-genome sequencing datasets, that Lancet has better accuracy, especially for indel detection, than widely used callers, such as MuTect, MuTect2,...

10.1038/s42003-018-0023-9 article EN cc-by Communications Biology 2018-03-14

Second generation sequencing technologies yield DNA sequence data at ultra high-throughput. Common to most biological applications is a mapping of the reads an almost identical or highly similar reference genome. The assessment quality read results not straightforward and has been formalized so far. Hence, it easy compare different approaches in unified way determine which program best for what task.We present new benchmark method, called Rabema (Read Alignment BEnchMArk), mappers. It...

10.1186/1471-2105-12-210 article EN cc-by BMC Bioinformatics 2011-05-26

Abstract Motivation: The reliable detection of genomic variation in resequencing data is still a major challenge, especially for variants larger than few base pairs. Sequencing reads crossing boundaries structural carry the potential their identification, but are difficult to map. Results: Here we present method ‘split’ read mapping, where prefix and suffix match may be interrupted by longer gap read-to-reference alignment. We use this accurately detect medium-sized insertions long deletions...

10.1093/bioinformatics/bts019 article EN Bioinformatics 2012-01-11

To identify previously reported disease mutations that are compatible with extraordinary longevity, we screened the coding regions of genomes 44 Ashkenazi Jewish centenarians. Individual genome sequences were generated 30× coverage on Illumina HiSeq 2000 and single-nucleotide variants called analysis toolkit (GATK). We identified 130 annotated as "pathogenic" or "likely pathogenic" based ClinVar database infrequent in general population. These to cause a wide range degenerative, neoplastic,...

10.1002/mgg3.86 article EN cc-by Molecular Genetics & Genomic Medicine 2014-06-15

Abstract Motivation: The landscape of structural variation (SV) including complex duplication and translocation patterns is far from resolved. SV detection tools usually exhibit low agreement, are often geared toward certain types or size ranges struggle to correctly classify the type exact SVs. Results: We present Gustaf (Generic mUlti-SpliT Alignment Finder), a sound generic multi-split tool that detects classifies deletions, inversions, dispersed duplications translocations ≥30 bp. Our...

10.1093/bioinformatics/btu431 article EN Bioinformatics 2014-07-14

Human papillomavirus (HPV) causes 5% of all cancers and frequently integrates into host chromosomes. The HPV oncoproteins E6 E7 are necessary but insufficient for cancer formation, indicating that additional secondary genetic events required. Here, we investigate potential oncogenic impacts virus integration. Analysis 105 HPV-positive oropharyngeal by whole-genome sequencing detects integration in 77%, revealing five statistically significant sites recurrent near genes regulate epithelial...

10.1101/gr.275911.121 article EN cc-by-nc Genome Research 2021-12-13

Abstract While the genomes of normal tissues undergo dynamic changes over time, little is understood about temporal-spatial dynamics in premalignant that progress to cancer compared those remain cancer-free. Here we use whole genome sequencing contrast genomic alterations 427 longitudinal samples from 40 patients with stable Barrett’s esophagus who progressed esophageal adenocarcinoma (ESAD). We show same somatic mutational processes are active tissue regardless outcome, high levels...

10.1038/s41467-022-29767-7 article EN cc-by Nature Communications 2022-04-28

Many multiple sequence alignment tools have been developed in the past, progressing either speed or accuracy. Given importance and wide-spread use of tools, progress both categories is a contribution to community has driven research field so far.We introduce graph-based extension consistency-based, progressive strategy. We apply consistency notion segments instead single characters. The main problem we solve this context define sequences such way that possible. implemented algorithm using...

10.1093/bioinformatics/btn281 article EN Bioinformatics 2008-08-09

To analyze a glioblastoma tumor specimen with 3 different platforms and compare potentially actionable calls from each.Tumor DNA was analyzed by commercial targeted panel. In addition, tumor-normal whole-genome sequencing (WGS) RNA (RNA-seq). The WGS RNA-seq data were team of bioinformaticians cancer oncologists, separately IBM Watson Genomic Analytics (WGA), an automated system for prioritizing somatic variants identifying drugs.More identified WGS/RNA analysis than panels. WGA completed...

10.1212/nxg.0000000000000164 article EN cc-by-nc-nd Neurology Genetics 2017-07-12

Abstract Motivation: Deep sequencing has become the method of choice for determining small RNA content a cell. Mapping sequenced reads onto their reference genome serves as basis all further analyses, namely identification and quantification. A frequently used is Mega BLAST followed by several filtering steps, even though it slow inefficient this task. Also, none currently available short read aligners established itself particular task mapping. Results: We present MicroRazerS, tool...

10.1093/bioinformatics/btp601 article EN Bioinformatics 2009-10-29

Abstract Motivation: Novel high-throughput sequencing technologies pose new algorithmic challenges in handling massive amounts of short-read, high-coverage data. A robust and versatile consensus tool is particular interest for such data since a sound multi-read alignment prerequisite variation analyses, accurate genome assemblies insert sequencing. Results: algorithm de novo or reference-guided assembly presented. The program identifies segments shared by multiple reads then aligns these...

10.1093/bioinformatics/btp131 article EN Bioinformatics 2009-03-05

We developed and validated a clinical whole-genome transcriptome sequencing (WGTS) assay that provides comprehensive genomic profile of patient's tumor. The ability to fully capture the mappable genome with sufficient coverage precisely call DNA somatic single nucleotide variants, insertions/deletions, copy number structural RNA gene fusions was analyzed. New York State's Department Health next-generation guidelines were expanded for establishing performance validation applicable sequencing....

10.1016/j.jmoldx.2018.06.007 article EN cc-by-nc-nd Journal of Molecular Diagnostics 2018-08-21

Colorectal cancer is the second leading cause of death in United States, with over 50,000 deaths estimated 2014. Molecular profiling for somatic mutations that predict absence response to anti-EGFR therapy has become standard practice treatment metastatic colorectal cancer; however, quantity and type tissue available testing frequently limited. Further, degree which primary tumor a faithful representation disease been questioned. As next-generation sequencing technology becomes more widely...

10.1186/preaccept-1207406452128377 article EN cc-by Genome Biology 2014-01-01

The elemental composition of peptides results in formation distinct, equidistantly spaced clusters across the mass range. property peptide clustering is used to calibrate lists, identify and remove non-peptide peaks for data reduction.We developed an analytical model cluster centres. Inputs included, amino acid frequencies sequence database, average length proteins cleavage specificity proteolytic enzyme probability. We examined accuracy our by comparing it with based on silico database...

10.1186/1477-5956-4-18 article EN cc-by Proteome Science 2006-01-01

Summary Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many which cannot be easily classified into simple (e.g. deletion, translocation) or complex chromothripsis, chromoplexy) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology junction copy number (JCN) across 2,833 tumor whole sequences (WGS), we introduce three phenomena: pyrgo, rigma , and tyfonas . Pyrgo are “towers” low-JCN duplications associated with...

10.1101/836296 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-11-09

Abstract Background Historically, geneticists have relied on genotyping arrays and imputation to study human genetic variation. However, an underrepresentation of diverse populations has resulted in that poorly capture global variation, a lack reference panels. This contributed deepening health disparities. Whole genome sequencing (WGS) better captures variation but remains prohibitively expensive. Thus, we explored WGS at “mid-pass” 1-7x coverage. Results Here, developed benchmarked methods...

10.1186/s12864-021-07949-9 article EN cc-by BMC Genomics 2021-11-01
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