Hkkj r h; d ` f"k v uq l a /kku i f= d k] 36(1): 25-28 DOI: 10.18805/BKAP265 v xy h i h<+ h d sv uq Ø e. k Ms Vk fo' y s "k. k , o a—f"k e s abl d sv uq ç; ks x ' kcku k cs xe 1 ] j kgq y cut hZ Hkk-—-v -i & Hkkj r h; —f"k l k¡ f[ ; d h v uq la / kku l aLFkku ] y kbc z s jh ,os U ;w ] i w l k&110 012] u bZfn Yy h] Hkkj r A iz kIr %Qj oj h 2021 Lohd `r %t w u 2021 l kj ka 'k v xy h i h<+ h dh vuq Øe.k (NGS) ç kS | ks fxfd ; ka vis {kk—r d e y kxr i j t hu ks fed Ms Vk d sv f/kx z g.k es aØ ka fr y k j gh gS a A ,ut h, l ç kS | ks fxfd ; kar s th l s t fVy t hu ks fed v/;;u ds – f"Vd ks .k d ks cny jgh gS av kS j Ms Vk d h , d fo' kky ek=k mR i Uu d j j gh gS a A , ut h, l Ms Vk fo' y s "k. k } kj k çnku d h x bZMs Vk d h br u h cM+ h ek=k d s ,s l s c M+ s tS fod l a xz g d ks l a Hkky us dsfy, u, vkS j v f/kd ' kfä ' kky h t S o l w p u k foK ku d sç Lr koks ad h v ko' ; d r k gks rh gS A b l d sv y kok] fo' ks "k l ‚¶Vos ; j mi d j .k v kS j Ms Vk , d hd j .k d s fy , mUur d EI; w Vs 'kuy l a l k/ku v ko' ; d gS aA bl ys [ k es a ] ge ; gkav x y h i h<+ h d sv uq Ø e. k Ms Vk fo' y s "k.k v kS j —f"k foKku es a bl d h Hkw fed k d sfy , eq [ ; d EI; w Vs ' ku y – f"Vd ks . k d k o.kZ u dj jgsgS a A ' kCn d q a t h%d EI; w Vs 'kuy l a l k/ku; t hu ks fed v /; ; u] v x y h i h<+ h d sv uq Ø e. k Ms V kA Next Generation Sequencing Data Analysis and its Applications in Agriculture Shbana Begum 1 , Rahul Banerjee ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa-110 012, New Delhi, India. Received: February 2021 Accepted: June 2021 ABSTRACT Next Generation sequencing (NGS) technologies are revolutionizing the acquisition of genomic data at relatively low cost. NGS technologies are rapidly changing approaches to complex genomic studies and generating a vast amount of data. New and more powerful bioinformatics proposals and tools are needed to handle such large biological collections of such huge amounts of data provided by NGS data analysis. In addition, specialized software tools and advanced computational resources are required for data integration. In this article, we are describing here the main computational approach for next generation sequencing data analysis and its role in agriculture for crop improvement. Key words: Computational approaches, Genomics, Next generation sequencing data. çLr kouk v xy h i h<+ h dh vuq Øe.k ¼ ,ut h, l ½ ç kS | ks fxfd ; ka ] t ks Mh, u, / v kj , u, v . kq v ks a ds Hkhr j U ;w fDy ; ks V kb M~ l ds vuq Øe dh t ka p djus ds fy , mPp &çokg fof/k; ks a dh is 'kd'k djrh gS a ] vc t S fod foKku d s vuq ç; ks x ks ae s a, d v ko' ; d mi d j . k cu x bZ gS a A d bZç ks xz kfe a x çfr ekuks a v kS j l efi Z r l ‚¶Vos ; j mi d j .k d k mi ; ks x djds d k; kZ fUo r fo fHkUu x f. kr h; v kS j l ka f[ ; d h; r j hd s t S fod v k. kfod ] l s yq yj ; k i j ek.kq t kud kj h d k fo' y s "k. k v kS j O ;k[;k djus es a l {ke gS a A , ut h, l ç kS | ks fxfd ; ks a d ks v i ukus ls çkIr , ut h, l Ms Vk d h Hkkj h ek= k d ks l a l kf/kr d j u s v kS j fo'ys "k.k d j us ds fy , d EI; w Vs ' ku y – f"Vd ks .k v kS j t S o l w p u k fo K ku d h v ko' ; d r k gS A u s Vod Z l a l k/ ku ks a d ks fod fl r d j uk Hkh v ko' ; d gS ] t S l s fd fof' k"V t S fod {ks = ks a d ks l a n fHkZ r Email: rahuliasri@gmail.com 1 Hkk-—-v -i & j k"Vª h; ikni t S o ç kS | ks fxd h l a L Fkku ] i w l k& 110 012] u bZfn Yy h] Hkkj r A 1 ICAR- National Institute for Plant Biotechnology, LBS Centre, Pusa Campus New, Pusa-110 012, New Delhi, India. Bhartiya Krishi Anushandhan Patrika, 36(1): 25-28