Mark B. Gerstein, PhD - Transcriptome Analysis
Scientist Stories: Mark Gerstein, Using ENCODE Data for Cancer Genomics
Mark Gerstein: Using ENCODE Data for Cancer Genomics
Special Session 04 Part A: Human Genome Analysis - Mark Gerstein - ISMB 2014
Mark Gerstein - Human Genome Analysis
Genomics, Big Data, and Medicine Seminar Series – Mark Gerstein
Cancer Genomics: Evaluating the Overall Impact of Passenger Mutations
High Performance Computing and Computational Biology | Mark Gerstein
A Gradual Evolution in Bioinformatics Research - Mark Gerstein - Keynotes - ISMB/ECCB 2023
Futures in Biotech 71: Genomics, Proteomics, Cellular Immunity, and Anti-Matter
Insights from integrative analysis of the C. elegans genome - Mark Gerstein
Recommendations related to genome function from NHGRI's Planning Workshop on ... - Mark Gerstein
Yale Day of Data 2014, Session 2
USER TALK: Novel Methods for Improving De Novo Transcriptome Annotation with Long-Read Transcript...
The 1960s Formed My Ideology: Mark Gerstein Remembers
Keynote Presentation: Mapping the Inner World of the Cell
Elevate your research with advanced analysis of bulk and single cell transcriptomics data
Oscar Harari - Analysis of the transcriptome of carriers of pathological...
Express Yourself! Transcriptomics from sample to counts | 2023 EMSL Summer School, Day 4
Analysis 4.0
Studying Promoter and Isoform Diversity with Long Read Transcriptome Sequencing
LEXOGEN DISTRIBUTOR: New Frontiers in Transcriptome Analysis Whole Transcriptome and 3’UTR RNA Seq
LEXOGEN TALK: CORALL Total RNA-Seq: Complete Solution for Whole Transcriptome Analysis
The ABRF NGS Study: a multi platform assessment of transcriptome profiling by RNA-Seq
Transcriptomics and Network Analysis
