FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2810188382> ?p ?o ?g. }

• W2810188382 endingPage "43" @default.
• W2810188382 startingPage "33" @default.
• W2810188382 abstract "Single cell sequencing (SCS) can be harnessed to acquire the genomes, transcriptomes and epigenomes from individual cells. Next generation sequencing (NGS) technology is the driving force for single cell sequencing. scRNA-seq requires a lengthy pipeline comprising of single cell sorting, RNA extraction, reverse transcription, amplification, library construction, sequencing and subsequent bioinformatic analysis. Computational algorithms are essential to fulfill many tasks of interest using scRNA-seq data. scRNA-seq has already enabled researchers to revisit long-standing questions in cancer biology, including cancer metastasis, heterogeneity and evolution. Circulating Tumor Cells (CTC) are not only an important mechanism for cancer metastasis, but also provide a possibility to diagnose and monitor cancer in a convenient way independent of surgical resection of the cancer." @default.
• W2810188382 created "2018-07-10" @default.
• W2810188382 creator A5017549166 @default.
• W2810188382 creator A5035764157 @default.
• W2810188382 creator A5055319555 @default.
• W2810188382 creator A5062059924 @default.
• W2810188382 creator A5082941033 @default.
• W2810188382 date "2018-01-01" @default.
• W2810188382 modified "2023-10-17" @default.
• W2810188382 title "High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications" @default.
• W2810188382 cites W1580018887 @default.
• W2810188382 cites W1602702667 @default.
• W2810188382 cites W1666901150 @default.
• W2810188382 cites W1701091641 @default.
• W2810188382 cites W1754857113 @default.
• W2810188382 cites W1813068103 @default.
• W2810188382 cites W1963525180 @default.
• W2810188382 cites W1967304777 @default.
• W2810188382 cites W1967327758 @default.
• W2810188382 cites W1977544680 @default.
• W2810188382 cites W1979283544 @default.
• W2810188382 cites W1981641790 @default.
• W2810188382 cites W1984883254 @default.
• W2810188382 cites W1987012261 @default.
• W2810188382 cites W1987754123 @default.
• W2810188382 cites W1999574084 @default.
• W2810188382 cites W2009569945 @default.
• W2810188382 cites W2010653277 @default.
• W2810188382 cites W2023887100 @default.
• W2810188382 cites W2025828346 @default.
• W2810188382 cites W2030017878 @default.
• W2810188382 cites W2032518018 @default.
• W2810188382 cites W2034629821 @default.
• W2810188382 cites W2051658465 @default.
• W2810188382 cites W2060705109 @default.
• W2810188382 cites W2068881679 @default.
• W2810188382 cites W2069089843 @default.
• W2810188382 cites W2069295116 @default.
• W2810188382 cites W2070339716 @default.
• W2810188382 cites W2071010503 @default.
• W2810188382 cites W2084942072 @default.
• W2810188382 cites W2086277161 @default.
• W2810188382 cites W2097065948 @default.
• W2810188382 cites W2098454110 @default.
• W2810188382 cites W2102212449 @default.
• W2810188382 cites W2102278945 @default.
• W2810188382 cites W2109890799 @default.
• W2810188382 cites W2110768394 @default.
• W2810188382 cites W2111281047 @default.
• W2810188382 cites W2116736210 @default.
• W2810188382 cites W2128120736 @default.
• W2810188382 cites W2134526812 @default.
• W2810188382 cites W2135937351 @default.
• W2810188382 cites W2137586531 @default.
• W2810188382 cites W2139838862 @default.
• W2810188382 cites W2141899889 @default.
• W2810188382 cites W2145748272 @default.
• W2810188382 cites W2152228387 @default.
• W2810188382 cites W2152692691 @default.
• W2810188382 cites W2157780603 @default.
• W2810188382 cites W2168955333 @default.
• W2810188382 cites W2169456326 @default.
• W2810188382 cites W2171501288 @default.
• W2810188382 cites W2190545194 @default.
• W2810188382 cites W2193667971 @default.
• W2810188382 cites W2227231914 @default.
• W2810188382 cites W2231058499 @default.
• W2810188382 cites W2236083456 @default.
• W2810188382 cites W2248179576 @default.
• W2810188382 cites W2312055187 @default.
• W2810188382 cites W2332292689 @default.
• W2810188382 cites W2338882301 @default.
• W2810188382 cites W2346302798 @default.
• W2810188382 cites W2424069973 @default.
• W2810188382 cites W2471513101 @default.
• W2810188382 cites W2524461462 @default.
• W2810188382 cites W2526187074 @default.
• W2810188382 cites W2526262591 @default.
• W2810188382 cites W2553542929 @default.
• W2810188382 cites W2562532328 @default.
• W2810188382 cites W2580989000 @default.
• W2810188382 cites W2582946425 @default.
• W2810188382 cites W2585175142 @default.
• W2810188382 cites W2600453489 @default.
• W2810188382 cites W2603523955 @default.
• W2810188382 cites W2605810679 @default.
• W2810188382 cites W2610509384 @default.
• W2810188382 cites W2610774430 @default.
• W2810188382 cites W2611596972 @default.
• W2810188382 cites W2611919322 @default.
• W2810188382 cites W2624831627 @default.
• W2810188382 cites W2950541340 @default.
• W2810188382 cites W2950583356 @default.
• W2810188382 cites W2951385940 @default.
• W2810188382 cites W2952535935 @default.
• W2810188382 doi "https://doi.org/10.1007/978-981-13-0502-3_4" @default.
• W2810188382 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29943294" @default.
• W2810188382 hasPublicationYear "2018" @default.

• next