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Aug 13, 2019
Category: General
Posted by: sro

Alokasi Asisten MK Departemen Statistika

Semester Ganjil Tahun Ajaran 2019/2020

 

Berikut ini terlampir beberapa hal yang penting diperhatikan para asisten MK Departemen Statistika yang meliputi Daftar Alokasi & Kontak Asisten, Jadwal Perkuliahan MKPengarahan Pelaksanaan ResponsiDaftar Kontak Dosen+Kode Prodi di IPB, dan Panduan Responsi

May 17, 2019
Category: Academic
Posted by: anissa
Pengumuman pembimbing skripsi mahasiswa S1 Statistika IPB angkatan 53.
May 17, 2019
Category: Academic
Posted by: anissa

Pengumuman alokasi PL mahasiswa S1 Statistika IPB TA 2019/2020.

 

Biostatistics Workshop

Next Generation Sequencing Data Analysis: A Practical Introduction

October 21st, 2017

IPB International Convention Center (IICC), Bogor

Register on: s.id/biostatistics

Payment information

To join this workshop, the candidate participants have to pay the workshop fee by transfer via bank:

Bank Mandiri
Acc name: Dept. Statistika FMIPA IPB
Acc number: 133 – 00 – 1143069 – 1
with fee criterias IDR 800.000/person NETT.
The proof of transfer payment have to be sent by email to both rahardiantoro.stk@gmail.com and r.rahma.anisa@gmail.com

Software Preparation & Materials

These are the software that need to be installed in the server (please ensure that the paths to the executable files are added to bash.profile file):

- FastQC
- FastX toolkit
- Trimmomatic
- Samtools
- Bowtie2 (if it has not been installed)

Please also install the Bioconductor suite from inside R using this command:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite()

After installing the suite, you will need to install the following packages:
biocLite("tweeDEseqCountData")
biocLite("edgeR")
biocLite("RSamtools")
biocLite("qvalue")
install_github("genomicsclass/tissuesGeneExpression")
install_github("genomicsclass/GSE5859Subset")
install.packages("rafalib")
install.packages("irlba")
install.packages("mclust")
install.packages("RColorBrewer")
biocLite("MAST")
biocLite("scde")


Materials

Lecture 1: Brief introduction to next-gen sequencing (NGS), Statistical Methods for NGS Data
Lab 1: Practical NGS Data Analysis
From Quality Control (QC) to DE analysis
Lecture 2: Brief introduction to single-cell omics technology, Statistical Methods for Single-Cell Omics Data
Lab 2: Practical single-cell Data Analysis
Quality controls, clustering, pseudo-time and DE analysis

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