Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays.
PMID 19903341 · PMC2810663 · Genome biology · 2009 · 7 claims · 3 setups
GAP is a method for automatic detection of absolute segmental copy number and genotype status from SNP-array cancer genome profiles
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Identification of novel gene amplifications in breast cancer and coexistence of gene amplification with an activating mutation of PIK3CA.
PMID 19706770 · PMC2745517 · Cancer research · 2009 · 8 claims · 8 setups
Genome-wide DNA copy number analysis of 161 primary breast tumors identified six novel focally amplified genes: POLD3, IRAK4, IRX2, TBL1XR1, ASPH, and BRD4
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Integrative genomics analysis of chromosome 5p gain in cervical cancer reveals target over-expressed genes, including Drosha.
PMID 18559093 · PMC2440550 · Molecular cancer · 2008 · 7 claims · 6 setups
Gain of chromosome 5p is the most frequent genomic alteration in invasive cervical cancer
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"Sequencing-grade" screening for BRCA1 variants by oligo-arrays.
PMID 18973698 · PMC2583995 · Journal of translational medicine · 2008 · 7 claims · 6 setups
An oligo-array platform can detect BRCA1 SNPs, insertions, and deletions of known and unknown variants, including in heterozygous conditions, with accuracy comparable to direct sequencing
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Protocadherin PCDH10, involved in tumor progression, is a frequent and early target of promoter hypermethylation in cervical cancer.
PMID 19681120 · PMC3430375 · Genes, chromosomes & cancer · 2009 · 8 claims · 5 setups
PCDH10 promoter hypermethylation is a frequent event in invasive cervical cancer
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Comprehensive resequence analysis of a 97 kb region of chromosome 10q11.2 containing the MSMB gene associated with prostate cancer.
PMID 19644707 · PMC2778717 · Human genetics · 2009 · 7 claims · 5 setups
Resequencing of the 97-kb 10q11.2 region identified 241 novel polymorphisms not previously reported in dbSNP
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A Hidden Markov Model to estimate population mixture and allelic copy-numbers in cancers using Affymetrix SNP arrays.
PMID 17996079 · PMC2206057 · BMC bioinformatics · 2007 · 8 claims · 7 setups
An HMM using paired germline genotype calls and tumour allelic SNP intensities can estimate allele-specific copy-numbers, distinguishing events like uniparental disomy from allelic imbalance.
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An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.
PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups
A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.
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Next-generation sequencing.
PMID 20030863 · PMC2797692 · Breast cancer research : BCR · 2009 · 8 claims · 7 setups
Massively parallel sequencing can simultaneously capture base-pair mutations, copy number aberrations and somatic rearrangements of a cancer genome in a single experiment
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COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.
PMID 19906727 · PMC2808858 · Nucleic acids research · 2010 · 8 claims · 6 setups
COSMIC is the largest public resource for information on somatically acquired mutations in human cancer, freely available without restriction
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Has reproduction · 30
Genomic and transcriptomic plasticity in treatment-naive ovarian cancer.
PMID 24221193 · PMC3912411 · Genome research · 2014 · 8 claims · 8 setups
Treatment-naïve epithelial ovarian cancers show extensive intra-tumor heterogeneity of genomic rearrangements, with the most substantial differences occurring between omentum/peritoneum metastases and ovarian tumor sites.
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Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.
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Oncogene mutations, copy number gains and mutant allele specific imbalance (MASI) frequently occur together in tumor cells.
PMID 19826477 · PMC2757721 · PloS one · 2009 · 8 claims · 8 setups
Homozygous mutations of oncogenes are frequent (20%) across 833 cancer cell lines of 12 tumor types in the Sanger database
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BAC to the future! or oligonucleotides: a perspective for micro array comparative genomic hybridization (array CGH).
PMID 16439806 · PMC1356528 · Nucleic acids research · 2006 · 8 claims · 7 setups
oaCGH, not BAC CGH arrays, is the platform that will prevail in the future
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Has reproduction · 49
Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.
PMID 23326238 · PMC3542081 · PLoS genetics · 2013 · 8 claims · 8 setups
B-cell non-Hodgkin lymphomas display striking intra-tumor (intra-sample) and inter-patient (inter-sample) cytosine methylation heterogeneity that increases progressively with disease aggressiveness (NBC<NGC<FL<GCB<ABC).