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Connection

Neelanjan Mukherjee to Transcriptome

This is a "connection" page, showing publications Neelanjan Mukherjee has written about Transcriptome.

 
Connection Strength
 
 
 
1.236
 
  1. Wellman K, Fu R, Baldwin A, Rege J, Murphy E, Rainey WE, Mukherjee N. Transcriptomic Response Dynamics of Human Primary and Immortalized Adrenocortical Cells to Steroidogenic Stimuli. Cells. 2021 09 09; 10(9).
    View in: PubMed
    Score: 0.530
  2. Baldwin A, Morris AR, Mukherjee N. An Easy, Cost-Effective, and Scalable Method to Deplete Human Ribosomal RNA for RNA-seq. Curr Protoc. 2021 Jun; 1(6):e176.
    View in: PubMed
    Score: 0.520
  3. Milek M, Imami K, Mukherjee N, Bortoli F, Zinnall U, Hazapis O, Trahan C, Oeffinger M, Heyd F, Ohler U, Selbach M, Landthaler M. DDX54 regulates transcriptome dynamics during DNA damage response. Genome Res. 2017 08; 27(8):1344-1359.
    View in: PubMed
    Score: 0.099
  4. Wessels HH, Lebedeva S, Hirsekorn A, Wurmus R, Akalin A, Mukherjee N, Ohler U. Global identification of functional microRNA-mRNA interactions in Drosophila. Nat Commun. 2019 04 09; 10(1):1626.
    View in: PubMed
    Score: 0.028
  5. Calviello L, Mukherjee N, Wyler E, Zauber H, Hirsekorn A, Selbach M, Landthaler M, Obermayer B, Ohler U. Detecting actively translated open reading frames in ribosome profiling data. Nat Methods. 2016 Feb; 13(2):165-70.
    View in: PubMed
    Score: 0.022
  6. Farazi TA, Leonhardt CS, Mukherjee N, Mihailovic A, Li S, Max KE, Meyer C, Yamaji M, Cekan P, Jacobs NC, Gerstberger S, Bognanni C, Larsson E, Ohler U, Tuschl T. Identification of the RNA recognition element of the RBPMS family of RNA-binding proteins and their transcriptome-wide mRNA targets. RNA. 2014 Jul; 20(7):1090-102.
    View in: PubMed
    Score: 0.020
  7. Corcoran DL, Georgiev S, Mukherjee N, Gottwein E, Skalsky RL, Keene JD, Ohler U. PARalyzer: definition of RNA binding sites from PAR-CLIP short-read sequence data. Genome Biol. 2011 Aug 18; 12(8):R79.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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